| 2022 | "I Don't Think So": Summarizing Policy Disagreements for Agent Comparison. Yotam Amitai, Ofra Amir |
| 2022 | 'Beach' to 'Bitch': Inadvertent Unsafe Transcription of Kids' Content on YouTube. Krithika Ramesh, Ashiqur R. KhudaBukhsh, Sumeet Kumar |
| 2022 | (2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering. Anoop Cherian, Chiori Hori, Tim K. Marks, Jonathan Le Roux |
| 2022 | 6DCNN with Roto-Translational Convolution Filters for Volumetric Data Processing. Dmitrii Zhemchuzhnikov, Ilia Igashov, Sergei Grudinin |
| 2022 | A Calculus for Computing Structured Justifications for Election Outcomes. Arthur Boixel, Ulle Endriss, Ronald de Haan |
| 2022 | A Causal Debiasing Framework for Unsupervised Salient Object Detection. Xiangru Lin, Ziyi Wu, Guanqi Chen, Guanbin Li, Yizhou Yu |
| 2022 | A Causal Inference Look at Unsupervised Video Anomaly Detection. Xiangru Lin, Yuyang Chen, Guanbin Li, Yizhou Yu |
| 2022 | A Complete Criterion for Value of Information in Soluble Influence Diagrams. Chris van Merwijk, Ryan Carey, Tom Everitt |
| 2022 | A Computable Definition of the Spectral Bias. Jonas Kiessling, Filip Thor |
| 2022 | A Deep Learning-Based Face Mask Detector for Autonomous Nano-Drones (Student Abstract). Eiman Alnuaimi, Elia Cereda, Rafail Psiakis, Suresh Sugumar, Alessandro Giusti, Daniele Palossi |
| 2022 | A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning. Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Christopher Amato |
| 2022 | A Demonstration of Compositional, Hierarchical Interactive Task Learning. Aaron Mininger, John E. Laird |
| 2022 | A Discriminative and Robust Feature Learning Approach for EEG-Based Motor Imagery Decoding (Student Abstract). Xiuyu Huang, Nan Zhou, Kup-Sze Choi |
| 2022 | A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs. Noah Patton, Jihwan Jeong, Mike Gimelfarb, Scott Sanner |
| 2022 | A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems. Ali Ugur Guler, Emir Demirovic, Jeffrey Chan, James Bailey, Christopher Leckie, Peter J. Stuckey |
| 2022 | A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations. Krishna Prasad Neupane, Ervine Zheng, Yu Kong, Qi Yu |
| 2022 | A Fast Algorithm for PAC Combinatorial Pure Exploration. Noa Ben-David, Sivan Sabato |
| 2022 | A Fast Local Search Algorithm for the Latin Square Completion Problem. Shiwei Pan, Yiyuan Wang, Minghao Yin |
| 2022 | A First Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II). Weijie Zheng, Yufei Liu, Benjamin Doerr |
| 2022 | A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse. Junyi Li, Bin Gu, Heng Huang |
| 2022 | A Fusion-Denoising Attack on InstaHide with Data Augmentation. Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi |
| 2022 | A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction. Joshua Fan, Junwen Bai, Zhiyun Li, Ariel Ortiz-Bobea, Carla P. Gomes |
| 2022 | A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions. Anthony GX-Chen, Veronica Chelu, Blake A. Richards, Joelle Pineau |
| 2022 | A Goal-Driven Natural Language Interface for Creating Application Integration Workflows. Michelle Brachman, Christopher Bygrave, Tathagata Chakraborti, Arunima Chaudhary, Zhining Ding, Casey Dugan, David Gros, Thomas Gschwind, James M. Johnson, Jim Laredo, Christoph Miksovic, Qian Pan, Priyanshu Rai, Ramkumar Ramalingam, Paolo Scotton, Nagarjuna Surabathina, Kartik Talamadupula |
| 2022 | A Graph Convolutional Network with Adaptive Graph Generation and Channel Selection for Event Detection. Zhipeng Xie, Yumin Tu |
| 2022 | A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data. Yan Li, Rui Xia, Chunchen Liu, Liang Sun |
| 2022 | A Hybrid Evolutionary Algorithm for the Diversified Top-k Weight Clique Search Problem (Student Abstract). Jun Wu, Minghao Yin |
| 2022 | A Label Dependence-Aware Sequence Generation Model for Multi-Level Implicit Discourse Relation Recognition. Changxing Wu, Liuwen Cao, Yubin Ge, Yang Liu, Min Zhang, Jinsong Su |
| 2022 | A Little Charity Guarantees Fair Connected Graph Partitioning. Ioannis Caragiannis, Evi Micha, Nisarg Shah |
| 2022 | A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback. Semih Cayci, Yilin Zheng, Atilla Eryilmaz |
| 2022 | A Machine Learning Method for EV Range Prediction with Updates on Route Information and Traffic Conditions. Dohee Kim, Hong Gi Shim, Jeong Soo Eo |
| 2022 | A Model for the Prediction of Lifetime Profit Estimate of Dairy Cattle (Student Abstract). Vahid Naghashi, Abdoulaye Baniré Diallo |
| 2022 | A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning. Sai Qian Zhang, Jieyu Lin, Qi Zhang |
| 2022 | A Multi-Factor Classification Framework for Completing Users' Fuzzy Queries (Student Abstract). Yaning Zhang, Liangqing Wu, Yangyang Wang, Jia Wang, Xiaoguang Yu, Shuangyong Song, Youzheng Wu, Xiaodong He |
| 2022 | A Multimodal Fusion-Based LNG Detection for Monitoring Energy Facilities (Student Abstract). Junchi Bin, Choudhury A. Rahman, Shane Rogers, Shan Du, Zheng Liu |
| 2022 | A Nested Bi-level Optimization Framework for Robust Few Shot Learning. Krishnateja Killamsetty, Changbin Li, Chen Zhao, Feng Chen, Rishabh K. Iyer |
| 2022 | A Novel Approach to Solving Goal-Achieving Problems for Board Games. Chung-Chin Shih, Ti-Rong Wu, Ting-Han Wei, I-Chen Wu |
| 2022 | A Probabilistic Framework for Land Deformation Prediction (Student Abstract). Rongfan Li, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong |
| 2022 | A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes. Honghao Wei, Xin Liu, Lei Ying |
| 2022 | A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications. Yun-Hao Cao, Jianxin Wu |
| 2022 | A Repetitive Spectrum Learning Framework for Monaural Speech Enhancement in Extremely Low SNR Environments (Student Abstract). Wenxin Tai |
| 2022 | A Scalable Parallel Algorithm for Balanced Sampling (Student Abstract). Alexander W. Lee, Stefan Walzer-Goldfeld, Shukry Zablah, Matteo Riondato |
| 2022 | A Search Engine for Discovery of Scientific Challenges and Directions. Dan Lahav, Jon Saad-Falcon, Bailey Kuehl, Sophie Johnson, Sravanthi Parasa, Noam Shomron, Duen Horng Chau, Diyi Yang, Eric Horvitz, Daniel S. Weld, Tom Hope |
| 2022 | A Self-Supervised Mixed-Curvature Graph Neural Network. Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu |
| 2022 | A Semi-supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues. Qian Lin, Hwee Tou Ng |
| 2022 | A Short-Term Tropical Cyclone Intensity Forecasting Method Based on High-Order Tensor (Student Abstract). Fan Meng, Handan Sun, Danya Xu, Pengfei Xie, Tao Song |
| 2022 | A Simplified Benchmark for Ambiguous Explanations of Knowledge Graph Link Prediction Using Relational Graph Convolutional Networks (Student Abstract). Nicholas Halliwell, Fabien Gandon, Freddy Lécué |
| 2022 | A Simulation-Based Evaluation Framework for Interactive AI Systems and Its Application. Maeda F. Hanafi, Yannis Katsis, Martín Santillán Cooper, Yunyao Li |
| 2022 | A Socially Relevant Focused AI Curriculum Designed for Female High School Students. Lauren Alvarez, Isabella Gransbury, Veronica Cateté, Tiffany Barnes, Ákos Lédeczi, Shuchi Grover |
| 2022 | A Stochastic Momentum Accelerated Quasi-Newton Method for Neural Networks (Student Abstract). S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai |
| 2022 | A Synthetic Prediction Market for Estimating Confidence in Published Work. Sarah Michele Rajtmajer, Christopher Griffin, Jian Wu, Robert Fraleigh, Laxmaan Balaji, Anna Cinzia Squicciarini, Anthony Kwasnica, David M. Pennock, Michael McLaughlin, Timothy Fritton, Nishanth Nakshatri, Arjun Manoj Menon, Sai Ajay Modukuri, Rajal Nivargi, Xin Wei, C. Lee Giles |
| 2022 | A Tale of Color Variants: Representation and Self-Supervised Learning in Fashion E-commerce. Ujjal Kr Dutta, Sandeep Repakula, Maulik Parmar, Abhinav Ravi |
| 2022 | A Trend-Driven Fashion Design System for Rapid Response Marketing in E-commerce. Lianghua Huang, Yu Liu, Bin Wang, Pan Pan, Rong Jin |
| 2022 | A Unified Framework for Real Time Motion Completion. Yinglin Duan, Yue Lin, Zhengxia Zou, Yi Yuan, Zhehui Qian, Bohan Zhang |
| 2022 | A Unifying Theory of Thompson Sampling for Continuous Risk-Averse Bandits. Joel Q. L. Chang, Vincent Y. F. Tan |
| 2022 | A Variant of Concurrent Constraint Programming on GPU. Pierre Talbot, Frédéric G. Pinel, Pascal Bouvry |
| 2022 | A* Search and Bound-Sensitive Heuristics for Oversubscription Planning. Michael Katz, Emil Keyder |
| 2022 | A*+BFHS: A Hybrid Heuristic Search Algorithm. Zhaoxing Bu, Richard E. Korf |
| 2022 | ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation. Chuanqing Zhuang, Zhengda Lu, Yiqun Wang, Jun Xiao, Ying Wang |
| 2022 | ACGNet: Action Complement Graph Network for Weakly-Supervised Temporal Action Localization. Zichen Yang, Jie Qin, Di Huang |
| 2022 | ADD: Frequency Attention and Multi-View Based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images. Le Minh Binh, Simon S. Woo |
| 2022 | AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds. Yihan Hu, Zhuangzhuang Ding, Runzhou Ge, Wenxin Shao, Li Huang, Kun Li, Qiang Liu |
| 2022 | AI Assisted Data Labeling with Interactive Auto Label. Michael Desmond, Michelle Brachman, Evelyn Duesterwald, Casey Dugan, Narendra Nath Joshi, Qian Pan, Carolina Spina |
| 2022 | AI Driven Accounts Payable Transformation. Tarun Tater, Neelamadhav Gantayat, Sampath Dechu, Hussain Jagirdar, Harshit Rawat, Meena Guptha, Surbhi Gupta, Lukasz Strak, Shashi Kiran, Sivakumar Narayanan |
| 2022 | AI Explainability 360: Impact and Design. Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang |
| 2022 | AI Snap! Blocks for Speech Input and Output, Computer Vision, Word Embeddings, and Neural Net Creation, Training, and Use. Ken Kahn, Ramana Prasad, Gayathri Veera |
| 2022 | AI for Disaster Rapid Damage Assessment from Microblogs. Muhammad Imran, Umair Qazi, Ferda Ofli, Steve Peterson, Firoj Alam |
| 2022 | AI-Assisted Controls Change Management for Cybersecurity in the Cloud. Harshal Tupsamudre, Arun Kumar, Vikas Agarwal, Nisha Gupta, Sneha Mondal |
| 2022 | AI-Driven Road Condition Monitoring across Multiple Nations. Deeksha Arya, Sanjay Kumar Ghosh, Durga Toshniwal |
| 2022 | ALLURE: A Multi-Modal Guided Environment for Helping Children Learn to Solve a Rubik's Cube with Automatic Solving and Interactive Explanations. Kausik Lakkaraju, Thahimum Hassan, Vedant Khandelwal, Prathamjeet Singh, Cassidy Bradley, Ronak Shah, Forest Agostinelli, Biplav Srivastava, Dezhi Wu |
| 2022 | ALP: Data Augmentation Using Lexicalized PCFGs for Few-Shot Text Classification. Hazel H. Kim, Daecheol Woo, Seong Joon Oh, Jeong-Won Cha, Yo-Sub Han |
| 2022 | ALPHAPROG: Reinforcement Generation of Valid Programs for Compiler Fuzzing. Xiaoting Li, Xiao Liu, Lingwei Chen, Rupesh Prajapati, Dinghao Wu |
| 2022 | ASM2TV: An Adaptive Semi-supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition. Zekai Chen, Xiao Zhang, Xiuzhen Cheng |
| 2022 | ASP-Based Declarative Process Mining. Francesco Chiariello, Fabrizio Maria Maggi, Fabio Patrizi |
| 2022 | AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-identification. Ammarah Farooq, Muhammad Awais, Josef Kittler, Syed Safwan Khalid |
| 2022 | Accelerating COVID-19 Research with Graph Mining and Transformer-Based Learning. Ilya Tyagin, Ankit Kulshrestha, Justin Sybrandt, Krish Matta, Michael Shtutman, Ilya Safro |
| 2022 | Accurate and Scalable Gaussian Processes for Fine-Grained Air Quality Inference. Zeel B. Patel, Palak Purohit, Harsh M. Patel, Shivam Sahni, Nipun Batra |
| 2022 | Achieving Counterfactual Fairness for Causal Bandit. Wen Huang, Lu Zhang, Xintao Wu |
| 2022 | Achieving Long-Term Fairness in Sequential Decision Making. Yaowei Hu, Lu Zhang |
| 2022 | Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach. Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal |
| 2022 | Action-Aware Embedding Enhancement for Image-Text Retrieval. Jiangtong Li, Li Niu, Liqing Zhang |
| 2022 | Actionable Model-Centric Explanations (Student Abstract). Cecilia G. Morales, Nicholas Gisolfi, Robert Edman, James Kyle Miller, Artur Dubrawski |
| 2022 | Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation. Jie Qin, Jie Wu, Xuefeng Xiao, Lujun Li, Xingang Wang |
| 2022 | Active Boundary Loss for Semantic Segmentation. Chi Wang, Yunke Zhang, Miaomiao Cui, Peiran Ren, Yin Yang, Xuansong Xie, Xian-Sheng Hua, Hujun Bao, Weiwei Xu |
| 2022 | Active Learning for Domain Adaptation: An Energy-Based Approach. Binhui Xie, Longhui Yuan, Shuang Li, Chi Harold Liu, Xinjing Cheng, Guoren Wang |
| 2022 | Active Learning on Pre-trained Language Model with Task-Independent Triplet Loss. Seungmin Seo, Donghyun Kim, Youbin Ahn, Kyong-Ho Lee |
| 2022 | Active Sampling for Text Classification with Subinstance Level Queries. Shayok Chakraborty, Ankita Singh |
| 2022 | AdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method. Xiaoxia Wu, Yuege Xie, Simon Shaolei Du, Rachel A. Ward |
| 2022 | Adapt to Environment Sudden Changes by Learning a Context Sensitive Policy. Fan-Ming Luo, Shengyi Jiang, Yang Yu, Zongzhang Zhang, Yi-Feng Zhang |
| 2022 | Adaptive Energy Management for Self-Sustainable Wearables in Mobile Health. Dina Hussein, Ganapati Bhat, Janardhan Rao Doppa |
| 2022 | Adaptive Global-Local Context Fusion for Multi-Turn Spoken Language Understanding. Thanh Tran, Kai Wei, Weitong Ruan, Ross McGowan, Nathan Susanj, Grant P. Strimel |
| 2022 | Adaptive Hypergraph Neural Network for Multi-Person Pose Estimation. Xixia Xu, Qi Zou, Xue Lin |
| 2022 | Adaptive Image-to-Video Scene Graph Generation via Knowledge Reasoning and Adversarial Learning. Jin Chen, Xiaofeng Ji, Xinxiao Wu |
| 2022 | Adaptive Kernel Graph Neural Network. Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Yanfang Ye, Liang Zhao |
| 2022 | Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition. Yan Zhao, Weicong Chen, Xu Tan, Kai Huang, Jihong Zhu |
| 2022 | Adaptive Orthogonal Projection for Batch and Online Continual Learning. Yiduo Guo, Wenpeng Hu, Dongyan Zhao, Bing Liu |
| 2022 | Adaptive Pairwise Weights for Temporal Credit Assignment. Zeyu Zheng, Risto Vuorio, Richard L. Lewis, Satinder Singh |
| 2022 | Adaptive Poincaré Point to Set Distance for Few-Shot Classification. Rongkai Ma, Pengfei Fang, Tom Drummond, Mehrtash Harandi |
| 2022 | Adaptive Safe Behavior Generation for Heterogeneous Autonomous Vehicles Using Parametric-Control Barrier Functions (Student Abstract). Yiwei Lyu, Wenhao Luo, John M. Dolan |
| 2022 | Adaptive and Universal Algorithms for Variational Inequalities with Optimal Convergence. Alina Ene, Huy Le Nguyen |
| 2022 | AdaptivePose: Human Parts as Adaptive Points. Yabo Xiao, Xiaojuan Wang, Dongdong Yu, Guoli Wang, Qian Zhang, Mingshu He |
| 2022 | Admissible Policy Teaching through Reward Design. Kiarash Banihashem, Adish Singla, Jiarui Gan, Goran Radanovic |
| 2022 | Adversarial Attack for Asynchronous Event-Based Data. Wooju Lee, Hyun Myung |
| 2022 | Adversarial Bone Length Attack on Action Recognition. Nariki Tanaka, Hiroshi Kera, Kazuhiko Kawamoto |
| 2022 | Adversarial Data Augmentation for Task-Specific Knowledge Distillation of Pre-trained Transformers. Minjia Zhang, Uma-Naresh Niranjan, Yuxiong He |
| 2022 | Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning. Chia-Yi Hsu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Chia-Mu Yu |
| 2022 | Adversarial Learning from Crowds. Pengpeng Chen, Hailong Sun, Yongqiang Yang, Zhijun Chen |
| 2022 | Adversarial Robustness in Multi-Task Learning: Promises and Illusions. Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon |
| 2022 | Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation. Hanjie Chen, Yangfeng Ji |
| 2022 | Algorithmic Bayesian Persuasion with Combinatorial Actions. Kaito Fujii, Shinsaku Sakaue |
| 2022 | Algorithmic Concept-Based Explainable Reasoning. Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Lió |
| 2022 | Algorithmic Fairness Verification with Graphical Models. Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel |
| 2022 | Almost Full EFX Exists for Four Agents. Ben Berger, Avi Cohen, Michal Feldman, Amos Fiat |
| 2022 | AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Poker via End-to-End Reinforcement Learning. Enmin Zhao, Renye Yan, Jinqiu Li, Kai Li, Junliang Xing |
| 2022 | Amortized Generation of Sequential Algorithmic Recourses for Black-Box Models. Sahil Verma, Keegan Hines, John P. Dickerson |
| 2022 | Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation. Jogendra Nath Kundu, Akshay R. Kulkarni, Suvaansh Bhambri, Varun Jampani, Venkatesh Babu Radhakrishnan |
| 2022 | An Adversarial Framework for Generating Unseen Images by Activation Maximization. Yang Zhang, Wang Zhou, Gaoyuan Zhang, David D. Cox, Shiyu Chang |
| 2022 | An Algorithmic Introduction to Savings Circles. Rediet Abebe, Adam Eck, Christian Ikeokwu, Sam Taggart |
| 2022 | An Algorithmic Theory of Markets and Their Application to Decentralized Markets. Denizalp Goktas |
| 2022 | An Axiomatic Approach to Revising Preferences. Adrian Haret, Johannes P. Wallner |
| 2022 | An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation. Honguk Woo, Hyunsung Lee, Sangwoo Cho |
| 2022 | An Emotion-Based Multi-Task Approach to Fake News Detection (Student Abstract). Arjun Choudhry, Inder Khatri, Minni Jain |
| 2022 | An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA. Zhengyuan Yang, Zhe Gan, Jianfeng Wang, Xiaowei Hu, Yumao Lu, Zicheng Liu, Lijuan Wang |
| 2022 | An End-to-End Traditional Chinese Medicine Constitution Assessment System Based on Multimodal Clinical Feature Representation and Fusion. Huisheng Mao, Baozheng Zhang, Hua Xu, Kai Gao |
| 2022 | An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity. Siddhartha Mishra, Nicholas Monath, Michael Boratko, Ariel Kobren, Andrew McCallum |
| 2022 | An Exact Algorithm with New Upper Bounds for the Maximum k-Defective Clique Problem in Massive Sparse Graphs. Jian Gao, Zhenghang Xu, Ruizhi Li, Minghao Yin |
| 2022 | An Experience Report of Executive-Level Artificial Intelligence Education in the United Arab Emirates. David Johnson, Mohammad Alsharid, Rasheed El-Bouri, Nigel Mehdi, Farah Shamout, Alexandre Szenicer, David Toman, Saqr Binghalib |
| 2022 | An Experimental Design Approach for Regret Minimization in Logistic Bandits. Blake Mason, Kwang-Sung Jun, Lalit Jain |
| 2022 | An Extraction and Representation Pipeline for Literary Characters. Funing Yang |
| 2022 | An Interactive Explanatory AI System for Industrial Quality Control. Dennis Müller, Michael März, Stephan Scheele, Ute Schmid |
| 2022 | An Online Learning Approach to Sequential User-Centric Selection Problems. Junpu Chen, Hong Xie |
| 2022 | An Ontological Approach towards Automatic Creation of Infographics from Formal Text (Student Abstract). Devin Garg, Tanuj Agarwal, Chiranjoy Chattopadhyay |
| 2022 | An Optimal Transport Approach to Deep Metric Learning (Student Abstract). Jason Xiaotian Dou, Lei Luo, Raymond Mingrui Yang |
| 2022 | An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks. Haedong Jeong, Jiyeon Han, Jaesik Choi |
| 2022 | Analysis of Pure Literal Elimination Rule for Non-uniform Random (MAX) k-SAT Problem with an Arbitrary Degree Distribution. Oleksii Omelchenko, Andrei A. Bulatov |
| 2022 | Anatomizing Bias in Facial Analysis. Richa Singh, Puspita Majumdar, Surbhi Mittal, Mayank Vatsa |
| 2022 | Anchor DETR: Query Design for Transformer-Based Detector. Yingming Wang, Xiangyu Zhang, Tong Yang, Jian Sun |
| 2022 | AnchorFace: Boosting TAR@FAR for Practical Face Recognition. Jiaheng Liu, Haoyu Qin, Yichao Wu, Ding Liang |
| 2022 | Anisotropic Additive Quantization for Fast Inner Product Search. Jin Zhang, Qi Liu, Defu Lian, Zheng Liu, Le Wu, Enhong Chen |
| 2022 | Anisotropic Fourier Features for Neural Image-Based Rendering and Relighting. Huangjie Yu, Anpei Chen, Xin Chen, Lan Xu, Ziyu Shao, Jingyi Yu |
| 2022 | Annotation Cost-Sensitive Deep Active Learning with Limited Data (Student Abstract). Renaud Bernatchez, Audrey Durand, Flavie Lavoie-Cardinal |
| 2022 | AnomalyKiTS: Anomaly Detection Toolkit for Time Series. Dhaval Patel, Giridhar Ganapavarapu, Srideepika Jayaraman, Shuxin Lin, Anuradha Bhamidipaty, Jayant Kalagnanam |
| 2022 | Answering Queries with Negation over Existential Rules. Stefan Ellmauthaler, Markus Krötzsch, Stephan Mennicke |
| 2022 | Anytime Guarantees under Heavy-Tailed Data. Matthew J. Holland |
| 2022 | Anytime Multi-Agent Path Finding via Machine Learning-Guided Large Neighborhood Search. Taoan Huang, Jiaoyang Li, Sven Koenig, Bistra Dilkina |
| 2022 | Approval-Based Committee Voting under Incomplete Information. Aviram Imber, Jonas Israel, Markus Brill, Benny Kimelfeld |
| 2022 | ApproxASP - a Scalable Approximate Answer Set Counter. Mohimenul Kabir, Flavio O. Everardo, Ankit K. Shukla, Markus Hecher, Johannes Klaus Fichte, Kuldeep S. Meel |
| 2022 | ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems. Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, Amir Salman Avestimehr |
| 2022 | Are Vision-Language Transformers Learning Multimodal Representations? A Probing Perspective. Emmanuelle Salin, Badreddine Farah, Stéphane Ayache, Benoît Favre |
| 2022 | Artificial Intelligence Approaches to Build Ticket to Ride Maps. Iain Nicholas Smith, Calin Anton |
| 2022 | Aspect-Opinion Sentiment Alignment for Cross-Domain Sentiment Analysis (Student Abstract). Haopeng Ren, Yi Cai, Yushi Zeng |
| 2022 | Assessing a Single Image in Reference-Guided Image Synthesis. Jiayi Guo, Chaoqun Du, Jiangshan Wang, Huijuan Huang, Pengfei Wan, Gao Huang |
| 2022 | AsyncFL: Asynchronous Federated Learning Using Majority Voting with Quantized Model Updates (Student Abstract). Suji Jang, Hyuk Lim |
| 2022 | Attacking Video Recognition Models with Bullet-Screen Comments. Kai Chen, Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang |
| 2022 | Attention Biasing and Context Augmentation for Zero-Shot Control of Encoder-Decoder Transformers for Natural Language Generation. Devamanyu Hazarika, Mahdi Namazifar, Dilek Hakkani-Tür |
| 2022 | Attention-Aligned Transformer for Image Captioning. Zhengcong Fei |
| 2022 | Attention-Based Transformation from Latent Features to Point Clouds. Kaiyi Zhang, Ximing Yang, Yuan Wu, Cheng Jin |
| 2022 | Attribute-Based Progressive Fusion Network for RGBT Tracking. Yun Xiao, Mengmeng Yang, Chenglong Li, Lei Liu, Jin Tang |
| 2022 | Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract). Jason Wang, Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu |
| 2022 | Augmentation-Free Self-Supervised Learning on Graphs. Namkyeong Lee, Junseok Lee, Chanyoung Park |
| 2022 | Authentic Integration of Ethics and AI through Sociotechnical, Problem-Based Learning. Ari Krakowski, Eric Greenwald, Timothy Hurt, Brandie Nonnecke, Matthew A. Cannady |
| 2022 | AutoBERT-Zero: Evolving BERT Backbone from Scratch. Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li |
| 2022 | AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms. Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing |
| 2022 | AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators. Yihang Yin, Qingzhong Wang, Siyu Huang, Haoyi Xiong, Xiang Zhang |
| 2022 | Automated Synthesis of Generalized Invariant Strategies via Counterexample-Guided Strategy Refinement. Kailun Luo, Yongmei Liu |
| 2022 | Automatic Product Copywriting for E-commerce. Xueying Zhang, Yanyan Zou, Hainan Zhang, Jing Zhou, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Xueqi He, Yun Xiao, Bo Long, Han Yu, Lingfei Wu |
| 2022 | Automatic Slides Generation for Scholarly Papers: A Fine-Grained Dataset and Baselines (Student Abstract). Sheng Xu, Xiaojun Wan |
| 2022 | Axiomatization of Aggregates in Answer Set Programming. Jorge Fandinno, Zachary Hansen, Yuliya Lierler |
| 2022 | BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition. Miao Yin, Huy Phan, Xiao Zang, Siyu Liao, Bo Yuan |
| 2022 | BERTMap: A BERT-Based Ontology Alignment System. Yuan He, Jiaoyan Chen, Denvar Antonyrajah, Ian Horrocks |
| 2022 | BM-NAS: Bilevel Multimodal Neural Architecture Search. Yihang Yin, Siyu Huang, Xiang Zhang |
| 2022 | BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents. Teakgyu Hong, Donghyun Kim, Mingi Ji, Wonseok Hwang, Daehyun Nam, Sungrae Park |
| 2022 | BScNets: Block Simplicial Complex Neural Networks. Yuzhou Chen, Yulia R. Gel, H. Vincent Poor |
| 2022 | BabelNet Meaning Representation: A Fully Semantic Formalism to Overcome Language Barriers. Roberto Navigli, Rexhina Blloshmi, Abelardo Carlos Martinez Lorenzo |
| 2022 | Backdoor Attacks on the DNN Interpretation System. Shihong Fang, Anna Choromanska |
| 2022 | Backprop-Free Reinforcement Learning with Active Neural Generative Coding. Alexander G. Ororbia II, Ankur Mali |
| 2022 | Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks. Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates |
| 2022 | Balanced Self-Paced Learning for AUC Maximization. Bin Gu, Chenkang Zhang, Huan Xiong, Heng Huang |
| 2022 | Balancing the Spread of Two Opinions in Sparse Social Networks (Student Abstract). Dusan Knop, Simon Schierreich, Ondrej Suchý |
| 2022 | Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms. Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang |
| 2022 | Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization. Akihiro Kishimoto, Djallel Bouneffouf, Radu Marinescu, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Paulito P. Palmes, Adi Botea |
| 2022 | Barely-Supervised Learning: Semi-supervised Learning with Very Few Labeled Images. Thomas Lucas, Philippe Weinzaepfel, Grégory Rogez |
| 2022 | Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning. Yuheng Zhang, Hanghang Tong, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying |
| 2022 | Bayesian Model-Based Offline Reinforcement Learning for Product Allocation. Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li |
| 2022 | Bayesian Optimisation for Active Monitoring of Air Pollution. Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard |
| 2022 | Bayesian Optimization over Permutation Spaces. Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Dae Hyun Kim |
| 2022 | Bayesian Persuasion in Sequential Decision-Making. Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla |
| 2022 | Behind the Curtain: Learning Occluded Shapes for 3D Object Detection. Qiangeng Xu, Yiqi Zhong, Ulrich Neumann |
| 2022 | Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks. Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci |
| 2022 | Best-Buddy GANs for Highly Detailed Image Super-resolution. Wenbo Li, Kun Zhou, Lu Qi, Liying Lu, Jiangbo Lu |
| 2022 | Better Parameter-Free Stochastic Optimization with ODE Updates for Coin-Betting. Keyi Chen, John Langford, Francesco Orabona |
| 2022 | Beyond GNNs: An Efficient Architecture for Graph Problems. Pranjal Awasthi, Abhimanyu Das, Sreenivas Gollapudi |
| 2022 | Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels. Deepak Babu Sam, Abhinav Agarwalla, Venkatesh Babu Radhakrishnan |
| 2022 | Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning. Gengyu Lyu, Xiang Deng, Yanan Wu, Songhe Feng |
| 2022 | Bi-CMR: Bidirectional Reinforcement Guided Hashing for Effective Cross-Modal Retrieval. Tieying Li, Xiaochun Yang, Bin Wang, Chong Xi, Hanzhong Zheng, Xiangmin Zhou |
| 2022 | Bi-volution: A Static and Dynamic Coupled Filter. Xiwei Hu, Xuanhong Chen, Bingbing Ni, Teng Li, Yutian Liu |
| 2022 | BiRdQA: A Bilingual Dataset for Question Answering on Tricky Riddles. Yunxiang Zhang, Xiaojun Wan |
| 2022 | BigCQ: Generating a Synthetic Set of Competency Questions Formalized into SPARQL-OWL (Student Abstract). Dawid Wisniewski, Jedrzej Potoniec, Agnieszka Lawrynowicz |
| 2022 | Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs. Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Chunping Wang, Jiangang Lu, Yang Yang |
| 2022 | Block Modeling-Guided Graph Convolutional Neural Networks. Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng |
| 2022 | Block-Skim: Efficient Question Answering for Transformer. Yue Guan, Zhengyi Li, Zhouhan Lin, Yuhao Zhu, Jingwen Leng, Minyi Guo |
| 2022 | Blocking Influence at Collective Level with Hard Constraints (Student Abstract). Zonghan Zhang, Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Chang-Tien Lu, Naren Ramakrishnan, Zhiqian Chen |
| 2022 | Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning. Giseung Park, Sungho Choi, Youngchul Sung |
| 2022 | Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning. Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng |
| 2022 | Boosting Active Learning via Improving Test Performance. Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu |
| 2022 | Boosting Contrastive Learning with Relation Knowledge Distillation. Kai Zheng, Yuanjiang Wang, Ye Yuan |
| 2022 | Boosting Generative Zero-Shot Learning by Synthesizing Diverse Features with Attribute Augmentation. Xiaojie Zhao, Yuming Shen, Shidong Wang, Haofeng Zhang |
| 2022 | Boosting the Transferability of Video Adversarial Examples via Temporal Translation. Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang |
| 2022 | Bounding Quality in Diverse Planning. Michael Katz, Shirin Sohrabi, Octavian Udrea |
| 2022 | Bounds on Causal Effects and Application to High Dimensional Data. Ang Li, Judea Pearl |
| 2022 | Braid: Weaving Symbolic and Neural Knowledge into Coherent Logical Explanations. Aditya Kalyanpur, Tom Breloff, David A. Ferrucci |
| 2022 | Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows. Param Budhraja, Mayank Baranwal, Kunal Garg, Ashish R. Hota |
| 2022 | Bridging LTLf Inference to GNN Inference for Learning LTLf Formulae. Weilin Luo, Pingjia Liang, Jianfeng Du, Hai Wan, Bo Peng, Delong Zhang |
| 2022 | Bridging between Cognitive Processing Signals and Linguistic Features via a Unified Attentional Network. Yuqi Ren, Deyi Xiong |
| 2022 | Bridging the Gap between Expression and Scene Text for Referring Expression Comprehension (Student Abstract). Yuqi Bu, Jiayuan Xie, Liuwu Li, Qiong Liu, Yi Cai |
| 2022 | Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech. Gaoussou Youssouf Kebe, Luke E. Richards, Edward Raff, Francis Ferraro, Cynthia Matuszek |
| 2022 | Building Goal-Oriented Dialogue Systems with Situated Visual Context. Sanchit Agarwal, Jan Jezabek, Arijit Biswas, Emre Barut, Bill Gao, Tagyoung Chung |
| 2022 | C2L: Causally Contrastive Learning for Robust Text Classification. Seungtaek Choi, Myeongho Jeong, Hojae Han, Seung-won Hwang |
| 2022 | C3D and Localization Model for Locating and Recognizing the Actions from Untrimmed Videos (Student Abstract). Himanshu Singh, Tirupati Pallewad, Badri N. Subudhi, Vinit Jakhetiya |
| 2022 | CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving. Yinuo Zhao, Kun Wu, Zhiyuan Xu, Zhengping Che, Qi Lu, Jian Tang, Chi Harold Liu |
| 2022 | CAISE: Conversational Agent for Image Search and Editing. Hyounghun Kim, Doo Soon Kim, Seunghyun Yoon, Franck Dernoncourt, Trung Bui, Mohit Bansal |
| 2022 | CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting. Hui He, Qi Zhang, Simeng Bai, Kun Yi, Zhendong Niu |
| 2022 | CB+NN Ensemble to Improve Tracking Accuracy in Air Surveillance. Anoop Karnik Dasika, Praveen Paruchuri |
| 2022 | CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks. Mikhail Pautov, Nurislam Tursynbek, Marina Munkhoeva, Nikita Muravev, Aleksandr Petiushko, Ivan V. Oseledets |
| 2022 | CCA: An ML Pipeline for Cloud Anomaly Troubleshooting. Lili Georgieva, Ioana Giurgiu, Serge Monney, Haris Pozidis, Viviane Potocnik, Mitch Gusat |
| 2022 | CEM: Commonsense-Aware Empathetic Response Generation. Sahand Sabour, Chujie Zheng, Minlie Huang |
| 2022 | CF-DETR: Coarse-to-Fine Transformers for End-to-End Object Detection. Xipeng Cao, Peng Yuan, Bailan Feng, Kun Niu |
| 2022 | CINS: Comprehensive Instruction for Few-Shot Learning in Task-Oriented Dialog Systems. Fei Mi, Yasheng Wang, Yitong Li |
| 2022 | CL-NERIL: A Cross-Lingual Model for NER in Indian Languages (Student Abstract). Akshara Prabhakar, Gouri Sankar Majumder, Ashish Anand |
| 2022 | CLPA: Clean-Label Poisoning Availability Attacks Using Generative Adversarial Nets. Bingyin Zhao, Yingjie Lao |
| 2022 | CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes. Hao Huang, Yongtao Wang, Zhaoyu Chen, Yuze Zhang, Yuheng Li, Zhi Tang, Wei Chu, Jingdong Chen, Weisi Lin, Kai-Kuang Ma |
| 2022 | CODE: Contrastive Pre-training with Adversarial Fine-Tuning for Zero-Shot Expert Linking. Bo Chen, Jing Zhang, Xiaokang Zhang, Xiaobin Tang, Lingfan Cai, Hong Chen, Cuiping Li, Peng Zhang, Jie Tang |
| 2022 | COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies. Doyoung Kim, Hyangsuk Min, Youngeun Nam, Hwanjun Song, Susik Yoon, Minseok Kim, Jae-Gil Lee |
| 2022 | CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation. Yu Qiao, Jincheng Zhu, Chengjiang Long, Zeyao Zhang, Yuxin Wang, Zhenjun Du, Xin Yang |
| 2022 | CQA-Face: Contrastive Quality-Aware Attentions for Face Recognition. Qiangchang Wang, Guodong Guo |
| 2022 | CTIN: Robust Contextual Transformer Network for Inertial Navigation. Bingbing Rao, Ehsan Kazemi, Yifan Ding, Devu M. Shila, Frank M. Tucker, Liqiang Wang |
| 2022 | Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs. Chunpai Wang, Daniel B. Neill, Feng Chen |
| 2022 | Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge. Yoonna Jang, Jungwoo Lim, Yuna Hur, Dongsuk Oh, Suhyune Son, Yeonsoo Lee, Dong-Hoon Shin, Seungryong Kim, Heuiseok Lim |
| 2022 | Can Machines Read Coding Manuals Yet? - A Benchmark for Building Better Language Models for Code Understanding. Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker, Kavitha Srinivas |
| 2022 | Can Semantic Labels Assist Self-Supervised Visual Representation Learning? Longhui Wei, Lingxi Xie, Jianzhong He, Xiaopeng Zhang, Qi Tian |
| 2022 | Can Vision Transformers Learn without Natural Images? Kodai Nakashima, Hirokatsu Kataoka, Asato Matsumoto, Kenji Iwata, Nakamasa Inoue, Yutaka Satoh |
| 2022 | Capsule Graph Neural Network for Multi-Label Image Recognition (Student Abstract). Xiangping Zheng, Xun Liang, Bo Wu |
| 2022 | Categorical Neighbour Correlation Coefficient (CnCor) for Detecting Relationships between Categorical Variables. Lifeng Zhang, Shimo Yang, Hongxun Jiang |
| 2022 | Category-Specific Nuance Exploration Network for Fine-Grained Object Retrieval. Shijie Wang, Zhihui Wang, Haojie Li, Wanli Ouyang |
| 2022 | Causal Discovery in Hawkes Processes by Minimum Description Length. Amirkasra Jalaldoust, Katerina Hlavácková-Schindler, Claudia Plant |
| 2022 | Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition. Yingjie Chen, Diqi Chen, Tao Wang, Yizhou Wang, Yun Liang |
| 2022 | CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting. Lijing Wang, Aniruddha Adiga, Jiangzhuo Chen, Adam Sadilek, Srinivasan Venkatramanan, Madhav V. Marathe |
| 2022 | Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks. Jinyuan Jia, Yupei Liu, Xiaoyu Cao, Neil Zhenqiang Gong |
| 2022 | Certified Symmetry and Dominance Breaking for Combinatorial Optimisation. Bart Bogaerts, Stephan Gocht, Ciaran McCreesh, Jakob Nordström |
| 2022 | Chaining Value Functions for Off-Policy Learning. Simon Schmitt, John Shawe-Taylor, Hado van Hasselt |
| 2022 | Channelized Axial Attention - considering Channel Relation within Spatial Attention for Semantic Segmentation. Ye Huang, Di Kang, Wenjing Jia, Liu Liu, Xiangjian He |
| 2022 | Characterization of Incentive Compatibility of an Ex-ante Constrained Player. Bonan Ni, Pingzhong Tang |
| 2022 | Characterizing the Program Expressive Power of Existential Rule Languages. Heng Zhang, Guifei Jiang |
| 2022 | Chess as a Testbed for Language Model State Tracking. Shubham Toshniwal, Sam Wiseman, Karen Livescu, Kevin Gimpel |
| 2022 | ChildrEN SafEty and Rescue (CENSER) System for Trafficked Children from Brothels in India. Raghu Vamshi Hemadri, Amarjot Singh, Ajeet Singh |
| 2022 | Choices Are Not Independent: Stackelberg Security Games with Nested Quantal Response Models. Tien Mai, Arunesh Sinha |
| 2022 | Chunk Dynamic Updating for Group Lasso with ODEs. Diyang Li, Bin Gu |
| 2022 | Class Guided Channel Weighting Network for Fine-Grained Semantic Segmentation. Xiang Zhang, Wanqing Zhao, Hangzai Luo, Jinye Peng, Jianping Fan |
| 2022 | Class-Wise Adaptive Self Distillation for Federated Learning on Non-IID Data (Student Abstract). Yuting He, Yiqiang Chen, Xiaodong Yang, Yingwei Zhang, Bixiao Zeng |
| 2022 | Classical Planning with Avoid Conditions. Marcel Steinmetz, Jörg Hoffmann, Alisa Kovtunova, Stefan Borgwardt |
| 2022 | Classifying Emails into Human vs Machine Category. Changsung Kang, Hongwei Shang, Jean-Marc Langlois |
| 2022 | Clinical-BERT: Vision-Language Pre-training for Radiograph Diagnosis and Reports Generation. Bin Yan, Mingtao Pei |
| 2022 | Close the Loop: A Unified Bottom-Up and Top-Down Paradigm for Joint Image Deraining and Segmentation. Yi Li, Yi Chang, Changfeng Yu, Luxin Yan |
| 2022 | Clustering Approach to Solve Hierarchical Classification Problem Complexity. Aomar Osmani, Massinissa Hamidi, Pegah Alizadeh |
| 2022 | Clustering Interval-Censored Time-Series for Disease Phenotyping. Irene Y. Chen, Rahul G. Krishnan, David A. Sontag |
| 2022 | Co-promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach. Lei Zhang, Wang Xiang, Chuang Zhao, Hongke Zhao, Rui Li, Runze Wu |
| 2022 | CoCoS: Enhancing Semi-supervised Learning on Graphs with Unlabeled Data via Contrastive Context Sharing. Siyue Xie, Da Sun Handason Tam, Wing Cheong Lau |
| 2022 | Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-Based Super-resolution. Bin Xia, Yapeng Tian, Yucheng Hang, Wenming Yang, Qingmin Liao, Jie Zhou |
| 2022 | Coarse-to-Fine Generative Modeling for Graphic Layouts. Zhaoyun Jiang, Shizhao Sun, Jihua Zhu, Jian-Guang Lou, Dongmei Zhang |
| 2022 | Code Representation Learning Using Prüfer Sequences (Student Abstract). Tenzin Jinpa, Yong Gao |
| 2022 | College Student Retention Risk Analysis from Educational Database Using Multi-Task Multi-Modal Neural Fusion. Mohammad Arif Ul Alam |
| 2022 | Combating Adversaries with Anti-adversaries. Motasem Alfarra, Juan C. Pérez, Ali K. Thabet, Adel Bibi, Philip H. S. Torr, Bernard Ghanem |
| 2022 | Combating Collusion Rings Is Hard but Possible. Niclas Boehmer, Robert Bredereck, André Nichterlein |
| 2022 | Combating Sampling Bias: A Self-Training Method in Credit Risk Models. Jingxian Liao, Wei Wang, Jason Xue, Anthony Lei, Xue Han, Kun Lu |
| 2022 | Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey. Prajjwal Bhargava, Vincent Ng |
| 2022 | Competing Mutual Information Constraints with Stochastic Competition-Based Activations for Learning Diversified Representations. Konstantinos P. Panousis, Anastasios Antoniadis, Sotirios Chatzis |
| 2022 | Competing for Resources: Estimating Adversary Strategy for Effective Plan Generation. Lukás Chrpa, Pavel Rytír, Rostislav Horcík, Stefan Edelkamp |
| 2022 | Compilation of Aggregates in ASP Systems. Giuseppe Mazzotta, Francesco Ricca, Carmine Dodaro |
| 2022 | Complementary Attention Gated Network for Pedestrian Trajectory Prediction. Jinghai Duan, Le Wang, Chengjiang Long, Sanping Zhou, Fang Zheng, Liushuai Shi, Gang Hua |
| 2022 | Complexity of Deliberative Coalition Formation. Edith Elkind, Abheek Ghosh, Paul Goldberg |
| 2022 | Comprehensive Regularization in a Bi-directional Predictive Network for Video Anomaly Detection. Chengwei Chen, Yuan Xie, Shaohui Lin, Angela Yao, Guannan Jiang, Wei Zhang, Yanyun Qu, Ruizhi Qiao, Bo Ren, Lizhuang Ma |
| 2022 | Computing Diverse Shortest Paths Efficiently: A Theoretical and Experimental Study. Tesshu Hanaka, Yasuaki Kobayashi, Kazuhiro Kurita, See Woo Lee, Yota Otachi |
| 2022 | Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems. Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Shiguang Wu |
| 2022 | Conditional Abstract Dialectical Frameworks. Jesse Heyninck, Matthias Thimm, Gabriele Kern-Isberner, Tjitze Rienstra, Kenneth Skiba |
| 2022 | Conditional Collaborative Filtering Process for Top-K Recommender System (Student Abstract). Guanyu Wang, Xovee Xu, Ting Zhong, Fan Zhou |
| 2022 | Conditional Generative Model Based Predicate-Aware Query Approximation. Nikhil Sheoran, Subrata Mitra, Vibhor Porwal, Siddharth Ghetia, Jatin Varshney, Tung Mai, Anup B. Rao, Vikas Maddukuri |
| 2022 | Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting. Haitao Lin, Zhangyang Gao, Yongjie Xu, Lirong Wu, Ling Li, Stan Z. Li |
| 2022 | Conditional Loss and Deep Euler Scheme for Time Series Generation. Carl Remlinger, Joseph Mikael, Romuald Elie |
| 2022 | Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data. Hari Prasanna Das, Ryan Tran, Japjot Singh, Xiangyu Yue, Geoffrey H. Tison, Alberto L. Sangiovanni-Vincentelli, Costas J. Spanos |
| 2022 | Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss. Yantao Gong, Cao Liu, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen, Weipeng Zhang, Houfeng Wang |
| 2022 | Conjugated Discrete Distributions for Distributional Reinforcement Learning. Björn Lindenberg, Jonas Nordqvist, Karl-Olof Lindahl |
| 2022 | Consent as a Foundation for Responsible Autonomy. Munindar P. Singh |
| 2022 | Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning. Yecheng Jason Ma, Andrew Shen, Osbert Bastani, Dinesh Jayaraman |
| 2022 | Consistency Regularization for Adversarial Robustness. Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin |
| 2022 | Constrained Prescriptive Trees via Column Generation. Shivaram Subramanian, Wei Sun, Youssef Drissi, Markus Ettl |
| 2022 | Constraint Sampling Reinforcement Learning: Incorporating Expertise for Faster Learning. Tong Mu, Georgios Theocharous, David Arbour, Emma Brunskill |
| 2022 | Constraint-Driven Explanations for Black-Box ML Models. Aditya A. Shrotri, Nina Narodytska, Alexey Ignatiev, Kuldeep S. Meel, João Marques-Silva, Moshe Y. Vardi |
| 2022 | Constraints Penalized Q-learning for Safe Offline Reinforcement Learning. Haoran Xu, Xianyuan Zhan, Xiangyu Zhu |
| 2022 | Construct Effective Geometry Aware Feature Pyramid Network for Multi-Scale Object Detection. Jinpeng Dong, Yuhao Huang, Songyi Zhang, Shitao Chen, Nanning Zheng |
| 2022 | Contact-Distil: Boosting Low Homologous Protein Contact Map Prediction by Self-Supervised Distillation. Qin Wang, Jiayang Chen, Yuzhe Zhou, Yu Li, Liangzhen Zheng, Sheng Wang, Zhen Li, Shuguang Cui |
| 2022 | Content-Variant Reference Image Quality Assessment via Knowledge Distillation. Guanghao Yin, Wei Wang, Zehuan Yuan, Chuchu Han, Wei Ji, Shouqian Sun, Changhu Wang |
| 2022 | Context Uncertainty in Contextual Bandits with Applications to Recommender Systems. Hao Wang, Yifei Ma, Hao Ding, Yuyang Wang |
| 2022 | Context-Aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs. Chang Lu, Tian Han, Yue Ning |
| 2022 | Context-Aware Transfer Attacks for Object Detection. Zikui Cai, XinXin Xie, Shasha Li, Mingjun Yin, Chengyu Song, Srikanth V. Krishnamurthy, Amit K. Roy-Chowdhury, M. Salman Asif |
| 2022 | Context-Based Contrastive Learning for Scene Text Recognition. Xinyun Zhang, Binwu Zhu, Xufeng Yao, Qi Sun, Ruiyu Li, Bei Yu |
| 2022 | Context-Specific Representation Abstraction for Deep Option Learning. Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How |
| 2022 | Continual Learning through Retrieval and Imagination. Zhen Wang, Liu Liu, Yiqun Duan, Dacheng Tao |
| 2022 | Contrast and Generation Make BART a Good Dialogue Emotion Recognizer. Shimin Li, Hang Yan, Xipeng Qiu |
| 2022 | Contrast-Enhanced Semi-supervised Text Classification with Few Labels. Austin Cheng-Yun Tsai, Sheng-Ya Lin, Li-Chen Fu |
| 2022 | ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification. Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu |
| 2022 | Contrastive Instruction-Trajectory Learning for Vision-Language Navigation. Xiwen Liang, Fengda Zhu, Yi Zhu, Bingqian Lin, Bing Wang, Xiaodan Liang |
| 2022 | Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-Supervised Action Recognition. Tianyu Guo, Hong Liu, Zhan Chen, Mengyuan Liu, Tao Wang, Runwei Ding |
| 2022 | Contrastive Personalization Approach to Suspect Identification (Student Abstract). Devansh Gupta, Drishti Bhasin, Sarthak Bhagat, Shagun Uppal, Ponnurangam Kumaraguru, Rajiv Ratn Shah |
| 2022 | Contrastive Quantization with Code Memory for Unsupervised Image Retrieval. Jinpeng Wang, Ziyun Zeng, Bin Chen, Tao Dai, Shu-Tao Xia |
| 2022 | Contrastive Spatio-Temporal Pretext Learning for Self-Supervised Video Representation. Yujia Zhang, Lai-Man Po, Xuyuan Xu, Mengyang Liu, Yexin Wang, Weifeng Ou, Yuzhi Zhao, Wing Yin Yu |
| 2022 | Contribution-Aware Federated Learning for Smart Healthcare. Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang |
| 2022 | Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation. Evgenii Nikishin, Romina Abachi, Rishabh Agarwal, Pierre-Luc Bacon |
| 2022 | Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation. Wei Wei, Yujia Zhang, Jiye Liang, Lin Li, Yuze Li |
| 2022 | Controlling the Spread of Two Secrets in Diverse Social Networks (Student Abstract). Václav Blazej, Dusan Knop, Simon Schierreich |
| 2022 | Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings. Matthew Shunshi Zhang, Murat A. Erdogdu, Animesh Garg |
| 2022 | Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition. Marawan Gamal Abdel Hameed, Marzieh S. Tahaei, Ali Mosleh, Vahid Partovi Nia |
| 2022 | Cooperative Multi-Agent Fairness and Equivariant Policies. Niko A. Grupen, Bart Selman, Daniel D. Lee |
| 2022 | Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training. Estelle M. Massart, Vinayak Abrol |
| 2022 | Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games. Kai Wang, Lily Xu, Andrew Perrault, Michael K. Reiter, Milind Tambe |
| 2022 | Coordinating Momenta for Cross-Silo Federated Learning. An Xu, Heng Huang |
| 2022 | Correlation Field for Boosting 3D Object Detection in Structured Scenes. Jianhua Sun, Haoshu Fang, Xianghui Zhu, Jiefeng Li, Cewu Lu |
| 2022 | Cosine Model Watermarking against Ensemble Distillation. Laurent Charette, Lingyang Chu, Yizhou Chen, Jian Pei, Lanjun Wang, Yong Zhang |
| 2022 | Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance. João P. B. Pereira, Erik S. G. Stroes, Aeilko H. Zwinderman, Evgeni Levin |
| 2022 | Creating Interactive Crowds with Reinforcement Learning. Ariel Kwiatkowski |
| 2022 | Creating Interpretable Data-Driven Approaches for Tropical Cyclones Forecasting. Fan Meng |
| 2022 | Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning. Mu Jin, Zhihao Ma, Kebing Jin, Hankz Hankui Zhuo, Chen Chen, Chao Yu |
| 2022 | Criticality-Based Advice in Reinforcement Learning (Student Abstract). Yitzhak Spielberg, Amos Azaria |
| 2022 | Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving. Li Wang, Dong Li, Han Liu, Jinzhang Peng, Lu Tian, Yi Shan |
| 2022 | Cross-Domain Collaborative Normalization via Structural Knowledge. Haifeng Xia, Zhengming Ding |
| 2022 | Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification. Beier Zhu, Yulei Niu, Xian-Sheng Hua, Hanwang Zhang |
| 2022 | Cross-Domain Few-Shot Graph Classification. Kaveh Hassani |
| 2022 | Cross-Lingual Adversarial Domain Adaptation for Novice Programming. Ye Mao, Farzaneh Khoshnevisan, Thomas W. Price, Tiffany Barnes, Min Chi |
| 2022 | Cross-Modal Coherence for Text-to-Image Retrieval. Malihe Alikhani, Fangda Han, Hareesh Ravi, Mubbasir Kapadia, Vladimir Pavlovic, Matthew Stone |
| 2022 | Cross-Modal Federated Human Activity Recognition via Modality-Agnostic and Modality-Specific Representation Learning. Xiaoshan Yang, Baochen Xiong, Yi Huang, Changsheng Xu |
| 2022 | Cross-Modal Mutual Learning for Audio-Visual Speech Recognition and Manipulation. Chih-Chun Yang, Wan-Cyuan Fan, Cheng-Fu Yang, Yu-Chiang Frank Wang |
| 2022 | Cross-Modal Object Tracking: Modality-Aware Representations and a Unified Benchmark. Chenglong Li, Tianhao Zhu, Lei Liu, Xiaonan Si, Zilin Fan, Sulan Zhai |
| 2022 | Cross-Species 3D Face Morphing via Alignment-Aware Controller. Xirui Yan, Zhenbo Yu, Bingbing Ni, Hang Wang |
| 2022 | Cross-Task Knowledge Distillation in Multi-Task Recommendation. Chenxiao Yang, Junwei Pan, Xiaofeng Gao, Tingyu Jiang, Dapeng Liu, Guihai Chen |
| 2022 | CrossWalk: Fairness-Enhanced Node Representation Learning. Ahmad Khajehnejad, Moein Khajehnejad, Mahmoudreza Babaei, Krishna P. Gummadi, Adrian Weller, Baharan Mirzasoleiman |
| 2022 | CrowdFL: A Marketplace for Crowdsourced Federated Learning. Daifei Feng, Cicilia Helena, Wei Yang Bryan Lim, Jer Shyuan Ng, Hongchao Jiang, Zehui Xiong, Jiawen Kang, Han Yu, Dusit Niyato, Chunyan Miao |
| 2022 | Crowdsourcing with Meta-Knowledge Transfer (Student Abstract). Sunyue Xu, Jing Zhang |
| 2022 | Curiosity-Driven Exploration via Latent Bayesian Surprise. Pietro Mazzaglia, Ozan Çatal, Tim Verbelen, Bart Dhoedt |
| 2022 | D-vlog: Multimodal Vlog Dataset for Depression Detection. Jeewoo Yoon, Chaewon Kang, Seungbae Kim, Jinyoung Han |
| 2022 | DANets: Deep Abstract Networks for Tabular Data Classification and Regression. Jintai Chen, Kuanlun Liao, Yao Wan, Danny Z. Chen, Jian Wu |
| 2022 | DCAN: Improving Temporal Action Detection via Dual Context Aggregation. Guo Chen, Yin-Dong Zheng, Limin Wang, Tong Lu |
| 2022 | DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation. Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian |
| 2022 | DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media. Mengzhu Sun, Xi Zhang, Jiaqi Zheng, Guixiang Ma |
| 2022 | DIRL: Domain-Invariant Representation Learning for Generalizable Semantic Segmentation. Qi Xu, Liang Yao, Zhengkai Jiang, Guannan Jiang, Wenqing Chu, Wenhui Han, Wei Zhang, Chengjie Wang, Ying Tai |
| 2022 | DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems. Martin Rapp, Ramin Khalili, Kilian Pfeiffer, Jörg Henkel |
| 2022 | DKPLM: Decomposable Knowledge-Enhanced Pre-trained Language Model for Natural Language Understanding. Taolin Zhang, Chengyu Wang, Nan Hu, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang |
| 2022 | DMN4: Few-Shot Learning via Discriminative Mutual Nearest Neighbor Neural Network. Yang Liu, Tu Zheng, Jie Song, Deng Cai, Xiaofei He |
| 2022 | DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents. Tsu-Jui Fu, William Yang Wang, Daniel McDuff, Yale Song |
| 2022 | DPCD: Discrete Principal Coordinate Descent for Binary Variable Problems. Huan Xiong |
| 2022 | DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy. Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng |
| 2022 | DRAG: Dynamic Region-Aware GCN for Privacy-Leaking Image Detection. Guang Yang, Juan Cao, Qiang Sheng, Peng Qi, Xirong Li, Jintao Li |
| 2022 | DanceFormer: Music Conditioned 3D Dance Generation with Parametric Motion Transformer. Buyu Li, Yongchi Zhao, Zhelun Shi, Lu Sheng |
| 2022 | DarkVisionNet: Low-Light Imaging via RGB-NIR Fusion with Deep Inconsistency Prior. Shuangping Jin, Bingbing Yu, Minhao Jing, Yi Zhou, Jiajun Liang, Renhe Ji |
| 2022 | Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites. Zakaria Mehrab, Mandy L. Wilson, Serina Chang, Galen Harrison, Bryan L. Lewis, Alex Telionis, Justin Crow, Dennis Kim, Scott Spillmann, Kate Peters, Jure Leskovec, Madhav V. Marathe |
| 2022 | DeTarNet: Decoupling Translation and Rotation by Siamese Network for Point Cloud Registration. Zhi Chen, Fan Yang, Wenbing Tao |
| 2022 | Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-identification. Jiawei Liu, Zhipeng Huang, Liang Li, Kecheng Zheng, Zheng-Jun Zha |
| 2022 | Debiasing NLU Models via Causal Intervention and Counterfactual Reasoning. Bing Tian, Yixin Cao, Yong Zhang, Chunxiao Xing |
| 2022 | Decentralized Mean Field Games. Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart |
| 2022 | Deceptive Decision-Making under Uncertainty. Yagiz Savas, Christos K. Verginis, Ufuk Topcu |
| 2022 | Deciding Unsolvability in Temporal Planning under Action Non-Self-Overlapping. Stefan Panjkovic, Andrea Micheli, Alessandro Cimatti |
| 2022 | Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments. Mitas Ray, Lillian J. Ratliff, Dmitriy Drusvyatskiy, Maryam Fazel |
| 2022 | Decompose the Sounds and Pixels, Recompose the Events. Varshanth R. Rao, Md Ibrahim Khalil, Haoda Li, Peng Dai, Juwei Lu |
| 2022 | Deconfounded Visual Grounding. Jianqiang Huang, Yu Qin, Jiaxin Qi, Qianru Sun, Hanwang Zhang |
| 2022 | Deconfounding Physical Dynamics with Global Causal Relation and Confounder Transmission for Counterfactual Prediction. Zongzhao Li, Xiangyu Zhu, Zhen Lei, Zhaoxiang Zhang |
| 2022 | Deconvolutional Density Network: Modeling Free-Form Conditional Distributions. Bing Chen, Mazharul Islam, Jisuo Gao, Lin Wang |
| 2022 | Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process. Huafeng Liu, Tong Zhou, Jiaqi Wang |
| 2022 | Deep Clustering of Text Representations for Supervision-Free Probing of Syntax. Vikram Gupta, Haoyue Shi, Kevin Gimpel, Mrinmaya Sachan |
| 2022 | Deep Confidence Guided Distance for 3D Partial Shape Registration. Dvir Ginzburg, Dan Raviv |
| 2022 | Deep Fusing Pre-trained Models into Neural Machine Translation. Rongxiang Weng, Heng Yu, Weihua Luo, Min Zhang |
| 2022 | Deep Graph Clustering via Dual Correlation Reduction. Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu |
| 2022 | Deep Implicit Statistical Shape Models for 3D Medical Image Delineation. Ashwin Raju, Shun Miao, Dakai Jin, Le Lu, Junzhou Huang, Adam P. Harrison |
| 2022 | Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity. Jie Xu, Chao Li, Yazhou Ren, Liang Peng, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu |
| 2022 | Deep Learning Based Side Channel Attacks on Lightweight Cryptography (Student Abstract). Alexander Benjamin, Jack Herzoff, Liljana Babinkostova, Edoardo Serra |
| 2022 | Deep Learning for Personalized Preoperative Planning of Microsurgical Free Tissue Transfers. Eshika Saxena |
| 2022 | Deep Movement Primitives: Toward Breast Cancer Examination Robot. Oluwatoyin Sanni, Giorgio Bonvicini, Muhammad Arshad Khan, Pablo C. López-Custodio, Kiyanoush Nazari, Amir M. Ghalamzan E. |
| 2022 | Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation. Yaoru Luo, Guole Liu, Yuanhao Guo, Ge Yang |
| 2022 | Deep One-Class Classification via Interpolated Gaussian Descriptor. Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro |
| 2022 | Deep Recurrent Neural Network with Multi-Scale Bi-directional Propagation for Video Deblurring. Chao Zhu, Hang Dong, Jinshan Pan, Boyang Liang, Yuhao Huang, Lean Fu, Fei Wang |
| 2022 | Deep Reinforcement Learning Policies Learn Shared Adversarial Features across MDPs. Ezgi Korkmaz |
| 2022 | Deep Representation Debiasing via Mutual Information Minimization and Maximization (Student Abstract). Ruijiang Han, Wei Wang, Yuxi Long, Jiajie Peng |
| 2022 | Deep Spatial Adaptive Network for Real Image Demosaicing. Tao Zhang, Ying Fu, Cheng Li |
| 2022 | Deep Translation Prior: Test-Time Training for Photorealistic Style Transfer. Sunwoo Kim, Soohyun Kim, Seungryong Kim |
| 2022 | Deep Unsupervised Hashing with Latent Semantic Components. Qinghong Lin, Xiaojun Chen, Qin Zhang, Shaotian Cai, Wenzhe Zhao, Hongfa Wang |
| 2022 | DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding. Yingjie Lao, Weijie Zhao, Peng Yang, Ping Li |
| 2022 | DeepGPD: A Deep Learning Approach for Modeling Geospatio-Temporal Extreme Events. Tyler Wilson, Pang-Ning Tan, Lifeng Luo |
| 2022 | DeepHardMark: Towards Watermarking Neural Network Hardware. Joseph Clements, Yingjie Lao |
| 2022 | DeepQR: Neural-Based Quality Ratings for Learnersourced Multiple-Choice Questions. Lin Ni, Qiming Bao, Xiaoxuan Li, Qianqian Qi, Paul Denny, Jim Warren, Michael Witbrock, Jiamou Liu |
| 2022 | DeepStochLog: Neural Stochastic Logic Programming. Thomas Winters, Giuseppe Marra, Robin Manhaeve, Luc De Raedt |
| 2022 | DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning. Xianyuan Zhan, Haoran Xu, Yue Zhang, Xiangyu Zhu, Honglei Yin, Yu Zheng |
| 2022 | DeepType 2: Superhuman Entity Linking, All You Need Is Type Interactions. Jonathan Raiman |
| 2022 | DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training. Xianglin Yang, Yun Lin, Ruofan Liu, Zhenfeng He, Chao Wang, Jin Song Dong, Hong Mei |
| 2022 | Deepfake Network Architecture Attribution. Tianyun Yang, Ziyao Huang, Juan Cao, Lei Li, Xirong Li |
| 2022 | Deeply Tensor Compressed Transformers for End-to-End Object Detection. Peining Zhen, Ziyang Gao, Tianshu Hou, Yuan Cheng, Hai-Bao Chen |
| 2022 | Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-Supervision. Jun Zhuang, Mohammad Al Hasan |
| 2022 | Defending against Model Stealing via Verifying Embedded External Features. Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao |
| 2022 | DeformRS: Certifying Input Deformations with Randomized Smoothing. Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip H. S. Torr, Bernard Ghanem |
| 2022 | Deformable Graph Convolutional Networks. Jinyoung Park, Sungdong Yoo, Jihwan Park, Hyunwoo J. Kim |
| 2022 | Deformable Part Region Learning for Object Detection. Seung-Hwan Bae |
| 2022 | Degrade Is Upgrade: Learning Degradation for Low-Light Image Enhancement. Kui Jiang, Zhongyuan Wang, Zheng Wang, Chen Chen, Peng Yi, Tao Lu, Chia-Wen Lin |
| 2022 | Delivering Trustworthy AI through Formal XAI. João Marques-Silva, Alexey Ignatiev |
| 2022 | Delving into Probabilistic Uncertainty for Unsupervised Domain Adaptive Person Re-identification. Jian Han, Ya-Li Li, Shengjin Wang |
| 2022 | Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data. Shenwang Jiang, Jianan Li, Ying Wang, Bo Huang, Zhang Zhang, Tingfa Xu |
| 2022 | Delving into the Local: Dynamic Inconsistency Learning for DeepFake Video Detection. Zhihao Gu, Yang Chen, Taiping Yao, Shouhong Ding, Jilin Li, Lizhuang Ma |
| 2022 | Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD. Jiayi Wang, Shiqiang Wang, Rong-Rong Chen, Mingyue Ji |
| 2022 | Demystifying the Chinese Social Credit System: A Case Study on AI-Powered Control Systems in China. Vishakha Agrawal |
| 2022 | Denoised Maximum Classifier Discrepancy for Source-Free Unsupervised Domain Adaptation. Tong Chu, Yahao Liu, Jinhong Deng, Wen Li, Lixin Duan |
| 2022 | Deploying an Artificial Intelligence Application to Detect Flood from Sentinel 1 Data. Paolo Fraccaro, Nikola Stoyanov, Zaheed Gaffoor, Laura Elena Cue La Rosa, Jitendra Singh, Tatsuya Ishikawa, Blair Edwards, Anne Jones, Komminist Weldemariam |
| 2022 | Designing a Human-in-the-Loop System for Object Detection in Floor Plans. Johannes Jakubik, Patrick Hemmer, Michael Vössing, Benedikt Blumenstiel, Andrea Bartos, Kamilla Mohr |
| 2022 | DetIE: Multilingual Open Information Extraction Inspired by Object Detection. Michael Vasilkovsky, Anton Alekseev, Valentin Malykh, Ilya Shenbin, Elena Tutubalina, Dmitriy Salikhov, Mikhail Stepnov, Andrey Chertok, Sergey I. Nikolenko |
| 2022 | Detail-Preserving Transformer for Light Field Image Super-resolution. Shunzhou Wang, Tianfei Zhou, Yao Lu, Huijun Di |
| 2022 | Detailed Facial Geometry Recovery from Multi-View Images by Learning an Implicit Function. Yunze Xiao, Hao Zhu, Haotian Yang, Zhengyu Diao, Xiangju Lu, Xun Cao |
| 2022 | Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics. Hangjie Yuan, Mang Wang, Dong Ni, Liangpeng Xu |
| 2022 | Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model. Xin Qiu, Risto Miikkulainen |
| 2022 | Detecting Neighborhood Gentrification at Scale via Street Views and POIs (Student Abstract). Tianyuan Huang |
| 2022 | Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency. Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson |
| 2022 | DevianceNet: Learning to Predict Deviance from a Large-Scale Geo-Tagged Dataset. Jin-Hwi Park, Young-Jae Park, Junoh Lee, Hae-Gon Jeon |
| 2022 | DiPS: Differentiable Policy for Sketching in Recommender Systems. Aritra Ghosh, Saayan Mitra, Andrew S. Lan |
| 2022 | Diaformer: Automatic Diagnosis via Symptoms Sequence Generation. Junying Chen, Dongfang Li, Qingcai Chen, Wenxiu Zhou, Xin Liu |
| 2022 | Diagnostics-Guided Explanation Generation. Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein |
| 2022 | DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization. Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng |
| 2022 | DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism. Jinglin Liu, Chengxi Li, Yi Ren, Feiyang Chen, Zhou Zhao |
| 2022 | Differential Assessment of Black-Box AI Agents. Rashmeet Kaur Nayyar, Pulkit Verma, Siddharth Srivastava |
| 2022 | Differentially Describing Groups of Graphs. Corinna Coupette, Sebastian Dalleiger, Jilles Vreeken |
| 2022 | Differentially Private Normalizing Flows for Synthetic Tabular Data Generation. Jaewoo Lee, Minjung Kim, Yonghyun Jeong, Youngmin Ro |
| 2022 | Differentially Private Regret Minimization in Episodic Markov Decision Processes. Sayak Ray Chowdhury, Xingyu Zhou |
| 2022 | Dimensionality and Coordination in Voting: The Distortion of STV. Ioannis Anagnostides, Dimitris Fotakis, Panagiotis Patsilinakos |
| 2022 | Directed Graph Auto-Encoders. Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe |
| 2022 | Discovering Interpretable Data-to-Sequence Generators. Boris Wiegand, Dietrich Klakow, Jilles Vreeken |
| 2022 | Discovering State and Action Abstractions for Generalized Task and Motion Planning. Aidan Curtis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling |
| 2022 | DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation. Yifan Wang, Yiping Song, Shuai Li, Chaoran Cheng, Wei Ju, Ming Zhang, Sheng Wang |
| 2022 | Disentangled Spatiotemporal Graph Generative Models. Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao |
| 2022 | Dist2Cycle: A Simplicial Neural Network for Homology Localization. Alexandros Dimitrios Keros, Vidit Nanda, Kartic Subr |
| 2022 | Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes. Florent Delgrange, Ann Nowé, Guillermo A. Pérez |
| 2022 | Distinguishing Homophenes Using Multi-Head Visual-Audio Memory for Lip Reading. Minsu Kim, Jeong Hun Yeo, Yong Man Ro |
| 2022 | Distributed Learning with Strategic Users: A Repeated Game Approach. Abdullah Basar Akbay, Junshan Zhang |
| 2022 | Distributed Randomized Sketching Kernel Learning. Rong Yin, Yong Liu, Dan Meng |
| 2022 | Distribution Aware VoteNet for 3D Object Detection. Junxiong Liang, Pei An, Jie Ma |
| 2022 | Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates. Dan Ley, Umang Bhatt, Adrian Weller |
| 2022 | Divide-and-Regroup Clustering for Domain Adaptive Person Re-identification. Zhengdong Hu, Yifan Sun, Yi Yang, Jianguang Zhou |
| 2022 | Do Feature Attribution Methods Correctly Attribute Features? Yilun Zhou, Serena Booth, Marco Túlio Ribeiro, Julie Shah |
| 2022 | Do We Need a New Large-Scale Quality Assessment Database for Generative Inpainting Based 3D View Synthesis? (Student Abstract). Sadbhawna, Vinit Jakhetiya, Badri N. Subudhi, Harshit Shakya, Deebha Mumtaz |
| 2022 | DocBed: A Multi-Stage OCR Solution for Documents with Complex Layouts. Wenzhen Zhu, Negin Sokhandan, Guang Yang, Sujitha Martin, Suchitra Sathyanarayana |
| 2022 | Does the Geometry of the Data Control the Geometry of Neural Predictions? (Student Abstract). Anirudh Cowlagi, Pratik Chaudhari |
| 2022 | Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval. Rui Xu, Zongyan Han, Le Hui, Jianjun Qian, Jin Xie |
| 2022 | Domain Reconstruction for UWB Car Key Localization Using Generative Adversarial Networks. Aleksei Kuvshinov, Daniel Knobloch, Daniel Külzer, Elen Vardanyan, Stephan Günnemann |
| 2022 | Domain-Lifted Sampling for Universal Two-Variable Logic and Extensions. Yuanhong Wang, Timothy van Bremen, Yuyi Wang, Ondrej Kuzelka |
| 2022 | DuMLP-Pin: A Dual-MLP-Dot-Product Permutation-Invariant Network for Set Feature Extraction. Jiajun Fei, Ziyu Zhu, Wenlei Liu, Zhidong Deng, Mingyang Li, Huanjun Deng, Shuo Zhang |
| 2022 | Dual Attention Networks for Few-Shot Fine-Grained Recognition. Shu-Lin Xu, Faen Zhang, Xiu-Shen Wei, Jianhua Wang |
| 2022 | Dual Contrastive Learning for General Face Forgery Detection. Ke Sun, Taiping Yao, Shen Chen, Shouhong Ding, Jilin Li, Rongrong Ji |
| 2022 | Dual Decoupling Training for Semi-supervised Object Detection with Noise-Bypass Head. Shida Zheng, Chenshu Chen, Xiaowei Cai, Tingqun Ye, Wenming Tan |
| 2022 | Dual Task Framework for Improving Persona-Grounded Dialogue Dataset. Minju Kim, Beong-woo Kwak, Youngwook Kim, Hong-in Lee, Seung-won Hwang, Jinyoung Yeo |
| 2022 | Dynamic Algorithmic Impact Assessment to Promote an Ethical Use of AI in Businesses. Shefeh Prisilia Mbuy |
| 2022 | Dynamic Incentive Mechanism Design for COVID-19 Social Distancing. Xuan Rong Zane Ho, Wei Yang Bryan Lim, Hongchao Jiang, Jer Shyuan Ng, Han Yu, Zehui Xiong, Dusit Niyato, Chunyan Miao |
| 2022 | Dynamic Key-Value Memory Enhanced Multi-Step Graph Reasoning for Knowledge-Based Visual Question Answering. Mingxiao Li, Marie-Francine Moens |
| 2022 | Dynamic Manifold Learning for Land Deformation Forecasting. Fan Zhou, Rongfan Li, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong |
| 2022 | Dynamic Nonlinear Matrix Completion for Time-Varying Data Imputation. Jicong Fan |
| 2022 | Dynamic Spatial Propagation Network for Depth Completion. Yuankai Lin, Tao Cheng, Qi Zhong, Wending Zhou, Hua Yang |
| 2022 | ELMA: Energy-Based Learning for Multi-Agent Activity Forecasting. Yu-Ke Li, Pin Wang, Lixiong Chen, Zheng Wang, Ching-Yao Chan |
| 2022 | EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles. Haoran Su, Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty |
| 2022 | ER: Equivariance Regularizer for Knowledge Graph Completion. Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang |
| 2022 | Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation (Student Abstract). Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhiqian Chen |
| 2022 | Early-Bird GCNs: Graph-Network Co-optimization towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets. Haoran You, Zhihan Lu, Zijian Zhou, Yonggan Fu, Yingyan Lin |
| 2022 | EasySED: Trusted Sound Event Detection with Self-Distillation. Qingsong Zhou, Kele Xu, Ming Feng |
| 2022 | EasySM: A Data-Driven Intelligent Decision Support System for Server Merge. Manhu Qu, Jie Huang, Hao Deng, Runze Wu, Xudong Shen, Jianrong Tao, Tangjie Lv |
| 2022 | Edge-Aware Guidance Fusion Network for RGB-Thermal Scene Parsing. Wujie Zhou, Shaohua Dong, Caie Xu, Yaguan Qian |
| 2022 | EditVAE: Unsupervised Parts-Aware Controllable 3D Point Cloud Shape Generation. Shidi Li, Miaomiao Liu, Christian Walder |
| 2022 | Efficiency of Ad Auctions with Price Displaying. Matteo Castiglioni, Diodato Ferraioli, Nicola Gatti, Alberto Marchesi, Giulia Romano |
| 2022 | Efficient Algorithms for General Isotone Optimization. Xiwen Wang, Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar |
| 2022 | Efficient Attribute (α, β)-Core Detection in Large Bipartite Graphs (Student Abstract). Yanping Wu, Renjie Sun, Chen Chen, Xiaoyang Wang |
| 2022 | Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets. Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang |
| 2022 | Efficient Compact Bilinear Pooling via Kronecker Product. Tan Yu, Yunfeng Cai, Ping Li |
| 2022 | Efficient Continuous Control with Double Actors and Regularized Critics. Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Xiu Li |
| 2022 | Efficient Decentralized Stochastic Gradient Descent Method for Nonconvex Finite-Sum Optimization Problems. Wenkang Zhan, Gang Wu, Hongchang Gao |
| 2022 | Efficient Deep Learning for Multi Agent Pathfinding. Natalie Abreu |
| 2022 | Efficient Device Scheduling with Multi-Job Federated Learning. Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou |
| 2022 | Efficient Dialog Policy Learning by Reasoning with Contextual Knowledge. Haodi Zhang, Zhichao Zeng, Keting Lu, Kaishun Wu, Shiqi Zhang |
| 2022 | Efficient Encoding of Cost Optimal Delete-Free Planning as SAT. Masood Feyzbakhsh Rankooh, Jussi Rintanen |
| 2022 | Efficient Model-Driven Network for Shadow Removal. Yurui Zhu, Zeyu Xiao, Yanchi Fang, Xueyang Fu, Zhiwei Xiong, Zheng-Jun Zha |
| 2022 | Efficient Non-local Contrastive Attention for Image Super-resolution. Bin Xia, Yucheng Hang, Yapeng Tian, Wenming Yang, Qingmin Liao, Jie Zhou |
| 2022 | Efficient One-Pass Multi-View Subspace Clustering with Consensus Anchors. Suyuan Liu, Siwei Wang, Pei Zhang, Kai Xu, Xinwang Liu, Changwang Zhang, Feng Gao |
| 2022 | Efficient Optimal Transport Algorithm by Accelerated Gradient Descent. Dongsheng An, Na Lei, Xiaoyin Xu, Xianfeng Gu |
| 2022 | Efficient Riemannian Meta-Optimization by Implicit Differentiation. Xiaomeng Fan, Yuwei Wu, Zhi Gao, Yunde Jia, Mehrtash Harandi |
| 2022 | Efficient Robust Training via Backward Smoothing. Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu |
| 2022 | Efficient Vertex-Oriented Polytopic Projection for Web-Scale Applications. Rohan Ramanath, S. Sathiya Keerthi, Yao Pan, Konstantin Salomatin, Kinjal Basu |
| 2022 | Efficient Virtual View Selection for 3D Hand Pose Estimation. Jian Cheng, Yanguang Wan, Dexin Zuo, Cuixia Ma, Jian Gu, Ping Tan, Hongan Wang, Xiaoming Deng, Yinda Zhang |
| 2022 | Elastic-Link for Binarized Neural Networks. Jie Hu, Ziheng Wu, Vince Junkai Tan, Zhilin Lu, Mengze Zeng, Enhua Wu |
| 2022 | Encoding Multi-Valued Decision Diagram Constraints as Binary Constraint Trees. Ruiwei Wang, Roland H. C. Yap |
| 2022 | End-to-End Learning the Partial Permutation Matrix for Robust 3D Point Cloud Registration. Zhiyuan Zhang, Jiadai Sun, Yuchao Dai, Dingfu Zhou, Xibin Song, Mingyi He |
| 2022 | End-to-End Line Drawing Vectorization. Hanyuan Liu, Chengze li, Xueting Liu, Tien-Tsin Wong |
| 2022 | End-to-End Probabilistic Label-Specific Feature Learning for Multi-Label Classification. Jun-Yi Hang, Min-Ling Zhang, Yanghe Feng, Xiaocheng Song |
| 2022 | End-to-End Transformer Based Model for Image Captioning. Yiyu Wang, Jungang Xu, Yingfei Sun |
| 2022 | Energy-Based Generative Cooperative Saliency Prediction. Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes |
| 2022 | Enforcement Heuristics for Argumentation with Deep Reinforcement Learning. Dennis Craandijk, Floris Bex |
| 2022 | Enhance Cross-Domain Aspect-Based Sentiment Analysis by Incorporating Commonsense Relational Structure (Student Abstract). Yushi Zeng, Guohua Wang, Haopeng Ren, Yi Cai |
| 2022 | Enhance Weakly-Supervised Aspect Detection with External Knowledge (Student Abstract). Zhuoming Zheng, Yi Cai, Liuwu Li |
| 2022 | Enhanced Story Comprehension for Large Language Models through Dynamic Document-Based Knowledge Graphs. Berkeley R. Andrus, Yeganeh Nasiri, Shilong Cui, Benjamin Cullen, Nancy Fulda |
| 2022 | Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring. Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew C. Eberhard, Andreas T. Ernst |
| 2022 | Enhancing Counterfactual Classification Performance via Self-Training. Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han |
| 2022 | Enhancing Pseudo Label Quality for Semi-supervised Domain-Generalized Medical Image Segmentation. Huifeng Yao, Xiaowei Hu, Xiaomeng Li |
| 2022 | Ensemble Semi-supervised Entity Alignment via Cycle-Teaching. Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu, Jianfeng Qu, Xiaofang Zhou |
| 2022 | Entailment Relation Aware Paraphrase Generation. Abhilasha Sancheti, Balaji Vasan Srinivasan, Rachel Rudinger |
| 2022 | Entropy Estimation via Normalizing Flow. Ziqiao Ao, Jinglai Li |
| 2022 | Entropy-Based Logic Explanations of Neural Networks. Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci |
| 2022 | Enumerating Nontrivial Knot Mosaics with SAT (Student Abstract). Hannah Miller |
| 2022 | Episodic Policy Gradient Training. Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh |
| 2022 | EqGNN: Equalized Node Opportunity in Graphs. Uriel Singer, Kira Radinsky |
| 2022 | Equal Bits: Enforcing Equally Distributed Binary Network Weights. Yunqiang Li, Silvia-Laura Pintea, Jan C. van Gemert |
| 2022 | Equilibrium Finding in Normal-Form Games via Greedy Regret Minimization. Hugh Zhang, Adam Lerer, Noam Brown |
| 2022 | Equilibrium Learning in Auction Markets. Stefan Heidekrüger |
| 2022 | Equity Promotion in Online Resource Allocation. Pan Xu, Yifan Xu |
| 2022 | Equivalence in Argumentation Frameworks with a Claim-Centric View - Classical Results with Novel Ingredients. Ringo Baumann, Anna Rapberger, Markus Ulbricht |
| 2022 | ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions. Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey |
| 2022 | Error-Based Knockoffs Inference for Controlled Feature Selection. Xuebin Zhao, Hong Chen, Yingjie Wang, Weifu Li, Tieliang Gong, Yulong Wang, Feng Zheng |
| 2022 | Estimation of Local Average Treatment Effect by Data Combination. Kazuhiko Shinoda, Takahiro Hoshino |
| 2022 | EtinyNet: Extremely Tiny Network for TinyML. Kunran Xu, Yishi Li, Huawei Zhang, Rui Lai, Lin Gu |
| 2022 | Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements? Weina Jin, Xiaoxiao Li, Ghassan Hamarneh |
| 2022 | Evaluating Explanations of Relational Graph Convolutional Network Link Predictions on Knowledge Graphs. Nicholas Halliwell |
| 2022 | Event-Aware Multimodal Mobility Nowcasting. Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki |
| 2022 | Event-Image Fusion Stereo Using Cross-Modality Feature Propagation. Hoonhee Cho, Kuk-Jin Yoon |
| 2022 | Evidential Neighborhood Contrastive Learning for Universal Domain Adaptation. Liang Chen, Yihang Lou, Jianzhong He, Tao Bai, Minghua Deng |
| 2022 | Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer. Yifan Xu, Zhijie Zhang, Mengdan Zhang, Kekai Sheng, Ke Li, Weiming Dong, Liqing Zhang, Changsheng Xu, Xing Sun |
| 2022 | Expert-Informed, User-Centric Explanations for Machine Learning. Michael J. Pazzani, Severine Soltani, Robert Kaufman, Samson Qian, Albert Hsiao |
| 2022 | Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations. Siddhant Arora, Danish Pruthi, Norman M. Sadeh, William W. Cohen, Zachary C. Lipton, Graham Neubig |
| 2022 | Explainable Metaphor Identification Inspired by Conceptual Metaphor Theory. Mengshi Ge, Rui Mao, Erik Cambria |
| 2022 | Explainable Planner Selection for Classical Planning. Patrick Ferber, Jendrik Seipp |
| 2022 | Explainable Shapley-Based Allocation (Student Abstract). Meir Nizri, Noam Hazon, Amos Azaria |
| 2022 | Explainable Survival Analysis with Convolution-Involved Vision Transformer. Yifan Shen, Li Liu, Zhihao Tang, Zongyi Chen, Guixiang Ma, Jiyan Dong, Xi Zhang, Lin Yang, Qingfeng Zheng |
| 2022 | Explainable and Local Correction of Classification Models Using Decision Trees. Hirofumi Suzuki, Hiroaki Iwashita, Takuya Takagi, Keisuke Goto, Yuta Fujishige, Satoshi Hara |
| 2022 | Exploiting Fine-Grained Face Forgery Clues via Progressive Enhancement Learning. Qiqi Gu, Shen Chen, Taiping Yao, Yang Chen, Shouhong Ding, Ran Yi |
| 2022 | Exploiting Invariance in Training Deep Neural Networks. Chengxi Ye, Xiong Zhou, Tristan McKinney, Yanfeng Liu, Qinggang Zhou, Fedor Zhdanov |
| 2022 | Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes. Yi-Xuan Sun, Wei Wang |
| 2022 | Explore Inter-contrast between Videos via Composition for Weakly Supervised Temporal Sentence Grounding. Jiaming Chen, Weixin Luo, Wei Zhang, Lin Ma |
| 2022 | Exploring Entity Interactions for Few-Shot Relation Learning (Student Abstract). Yi Liang, Shuai Zhao, Bo Cheng, Yuwei Yin, Hao Yang |
| 2022 | Exploring Motion and Appearance Information for Temporal Sentence Grounding. Daizong Liu, Xiaoye Qu, Pan Zhou, Yang Liu |
| 2022 | Exploring Relational Semantics for Inductive Knowledge Graph Completion. Changjian Wang, Xiaofei Zhou, Shirui Pan, Linhua Dong, Zeliang Song, Ying Sha |
| 2022 | Exploring Safer Behaviors for Deep Reinforcement Learning. Enrico Marchesini, Davide Corsi, Alessandro Farinelli |
| 2022 | Exploring Visual Context for Weakly Supervised Person Search. Yichao Yan, Jinpeng Li, Shengcai Liao, Jie Qin, Bingbing Ni, Ke Lu, Xiaokang Yang |
| 2022 | Expressivity of Planning with Horn Description Logic Ontologies. Stefan Borgwardt, Jörg Hoffmann, Alisa Kovtunova, Markus Krötzsch, Bernhard Nebel, Marcel Steinmetz |
| 2022 | Extended Goal Recognition Design with First-Order Computation Tree Logic. Tsz-Chiu Au |
| 2022 | Eye of the Beholder: Improved Relation Generalization for Text-Based Reinforcement Learning Agents. Keerthiram Murugesan, Subhajit Chaudhury, Kartik Talamadupula |
| 2022 | FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack. Donghua Wang, Tingsong Jiang, Jialiang Sun, Weien Zhou, Zhiqiang Gong, Xiaoya Zhang, Wen Yao, Xiaoqian Chen |
| 2022 | FFNet: Frequency Fusion Network for Semantic Scene Completion. Xuzhi Wang, Di Lin, Liang Wan |
| 2022 | FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration. Hao Xu, Nianjin Ye, Guanghui Liu, Bing Zeng, Shuaicheng Liu |
| 2022 | FInfer: Frame Inference-Based Deepfake Detection for High-Visual-Quality Videos. Juan Hu, Xin Liao, Jinwen Liang, Wenbo Zhou, Zheng Qin |
| 2022 | FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles. Ana Lucic, Harrie Oosterhuis, Hinda Haned, Maarten de Rijke |
| 2022 | FORCE: A Framework of Rule-Based Conversational Recommender System. Jun Quan, Ze Wei, Qiang Gan, Jingqi Yao, Jingyi Lu, Yuchen Dong, Yiming Liu, Yi Zeng, Chao Zhang, Yongzhi Li, Huang Hu, Yingying He, Yang Yang, Daxin Jiang |
| 2022 | FPAdaMetric: False-Positive-Aware Adaptive Metric Learning for Session-Based Recommendation. Jongwon Jeong, Jeong Choi, Hyunsouk Cho, Sehee Chung |
| 2022 | Facilitating Human-Wildlife Cohabitation through Conflict Prediction. Susobhan Ghosh, Pradeep Varakantham, Aniket Bhatkhande, Tamanna Ahmad, Anish Andheria, Wenjun Li, Aparna Taneja, Divy Thakkar, Milind Tambe |
| 2022 | FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-Sectional Stock Returns. Yitong Duan, Lei Wang, Qizhong Zhang, Jian Li |
| 2022 | Fair Conformal Predictors for Applications in Medical Imaging. Charles Lu, Andréanne Lemay, Ken Chang, Katharina Höbel, Jayashree Kalpathy-Cramer |
| 2022 | Fair and Efficient Allocations of Chores under Bivalued Preferences. Jugal Garg, Aniket Murhekar, John Qin |
| 2022 | Fair and Truthful Giveaway Lotteries. Tal Arbiv, Yonatan Aumann |
| 2022 | FairFoody: Bringing In Fairness in Food Delivery. Anjali Gupta, Rahul Yadav, Ashish Nair, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi |
| 2022 | Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework. Yiqun Xie, Erhu He, Xiaowei Jia, Weiye Chen, Sergii Skakun, Han Bao, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam |
| 2022 | Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values. Haewon Jeong, Hao Wang, Flávio P. Calmon |
| 2022 | Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method. James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck |
| 2022 | Fast Graph Neural Tangent Kernel via Kronecker Sketching. Shunhua Jiang, Yunze Man, Zhao Song, Zheng Yu, Danyang Zhuo |
| 2022 | Fast Heuristic Detection of Offensive Words in Wordwheel Puzzles. Anand D. Blum, R. Mitchell Parry |
| 2022 | Fast Monte-Carlo Approximation of the Attention Mechanism. Hyunjun Kim, JeongGil Ko |
| 2022 | Fast Payoff Matrix Sparsification Techniques for Structured Extensive-Form Games. Gabriele Farina, Tuomas Sandholm |
| 2022 | Fast Sparse Decision Tree Optimization via Reference Ensembles. Hayden McTavish, Chudi Zhong, Reto Achermann, Ilias Karimalis, Jacques Chen, Cynthia Rudin, Margo I. Seltzer |
| 2022 | Fast and Constrained Absent Keyphrase Generation by Prompt-Based Learning. Huanqin Wu, Baijiaxin Ma, Wei Liu, Tao Chen, Dan Nie |
| 2022 | Fast and Data Efficient Reinforcement Learning from Pixels via Non-parametric Value Approximation. Alexander Long, Alan Blair, Herke van Hoof |
| 2022 | Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold. Junghyun Lee, Gwangsu Kim, Mahbod Olfat, Mark Hasegawa-Johnson, Chang D. Yoo |
| 2022 | Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model. Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada, Koji Tsuda, Ichiro Takeuchi |
| 2022 | Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling. Sokbae Lee, Yuan Liao, Myung Hwan Seo, Youngki Shin |
| 2022 | Faster Algorithms for Weak Backdoors. Serge Gaspers, Andrew Kaploun |
| 2022 | Feature Distillation Interaction Weighting Network for Lightweight Image Super-resolution. Guangwei Gao, Wenjie Li, Juncheng Li, Fei Wu, Huimin Lu, Yi Yu |
| 2022 | Feature Generation and Hypothesis Verification for Reliable Face Anti-spoofing. Shice Liu, Shitao Lu, Hongyi Xu, Jing Yang, Shouhong Ding, Lizhuang Ma |
| 2022 | Feature Importance Explanations for Temporal Black-Box Models. Akshay Sood, Mark Craven |
| 2022 | FedCC: Federated Learning with Consensus Confirmation for Byzantine Attack Resistance (Student Abstract). Woocheol Kim, Hyuk Lim |
| 2022 | FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition. Chih-Ting Liu, Chien-Yi Wang, Shao-Yi Chien, Shang-Hong Lai |
| 2022 | FedInv: Byzantine-Robust Federated Learning by Inversing Local Model Updates. Bo Zhao, Peng Sun, Tao Wang, Keyu Jiang |
| 2022 | FedProto: Federated Prototype Learning across Heterogeneous Clients. Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang |
| 2022 | FedSoft: Soft Clustered Federated Learning with Proximal Local Updating. Yichen Ruan, Carlee Joe-Wong |
| 2022 | Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better. Sameer Bibikar, Haris Vikalo, Zhangyang Wang, Xiaohan Chen |
| 2022 | Federated Learning for Face Recognition with Gradient Correction. Yifan Niu, Weihong Deng |
| 2022 | Federated Nearest Neighbor Classification with a Colony of Fruit-Flies. Parikshit Ram, Kaushik Sinha |
| 2022 | Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs. Fanchen Bu, Dong Eui Chang |
| 2022 | Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-training. Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein |
| 2022 | Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-profits in Improving Maternal and Child Health. Aditya Mate, Lovish Madaan, Aparna Taneja, Neha Madhiwalla, Shresth Verma, Gargi Singh, Aparna Hegde, Pradeep Varakantham, Milind Tambe |
| 2022 | Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework. Elias B. Khalil, Pashootan Vaezipoor, Bistra Dilkina |
| 2022 | Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems: Complexity, Special Case Algorithms and Heuristics. Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti |
| 2022 | Fine-Grained Urban Flow Inference via Normalizing Flow (Student Abstract). Haoyang Yu, Xovee Xu, Ting Zhong, Fan Zhou |
| 2022 | Finite Entailment of Local Queries in the Z Family of Description Logics. Bartosz Bednarczyk, Emanuel Kieronski |
| 2022 | First Order Rewritability in Ontology-Mediated Querying in Horn Description Logics. David Toman, Grant E. Weddell |
| 2022 | First-Order Convex Fitting and Its Application to Economics and Optimization. Quinlan Dawkins, Minbiao Han, Haifeng Xu |
| 2022 | FisheyeHDK: Hyperbolic Deformable Kernel Learning for Ultra-Wide Field-of-View Image Recognition. Ola Ahmad, Freddy Lécué |
| 2022 | Fixation Maximization in the Positional Moran Process. Joachim Brendborg, Panagiotis Karras, Andreas Pavlogiannis, Asger Ullersted Rasmussen, Josef Tkadlec |
| 2022 | Flex Distribution for Bounded-Suboptimal Multi-Agent Path Finding. Shao-Hung Chan, Jiaoyang Li, Graeme Gange, Daniel Harabor, Peter J. Stuckey, Sven Koenig |
| 2022 | Flexible Instance-Specific Rationalization of NLP Models. George Chrysostomou, Nikolaos Aletras |
| 2022 | Flexible-Window Predictions on Electronic Health Records. Mehak Gupta, Raphael Poulain, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti |
| 2022 | Flow-Based Unconstrained Lip to Speech Generation. Jinzheng He, Zhou Zhao, Yi Ren, Jinglin Liu, Baoxing Huai, Nicholas Jing Yuan |
| 2022 | Forecasting Asset Dependencies to Reduce Portfolio Risk. Haoren Zhu, Shih-Yang Liu, Pengfei Zhao, Yingying Chen, Dik Lun Lee |
| 2022 | Formal Semantics and Formally Verified Validation for Temporal Planning. Mohammad Abdulaziz, Lukas Koller |
| 2022 | Formula Synthesis in Propositional Dynamic Logic with Shuffle. Sophie Pinchinat, Sasha Rubin, François Schwarzentruber |
| 2022 | Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis. Liat Ein-Dor, Ilya Shnayderman, Artem Spector, Lena Dankin, Ranit Aharonov, Noam Slonim |
| 2022 | Fourier Representations for Black-Box Optimization over Categorical Variables. Hamid Dadkhahi, Jesus Rios, Karthikeyan Shanmugam, Payel Das |
| 2022 | Fractional Adaptive Linear Units. Julio Zamora, Anthony D. Rhodes, Lama Nachman |
| 2022 | FrePGAN: Robust Deepfake Detection Using Frequency-Level Perturbations. Yonghyun Jeong, Doyeon Kim, Youngmin Ro, Jongwon Choi |
| 2022 | Frequency-Aware Contrastive Learning for Neural Machine Translation. Tong Zhang, Wei Ye, Baosong Yang, Long Zhang, Xingzhang Ren, Dayiheng Liu, Jinan Sun, Shikun Zhang, Haibo Zhang, Wen Zhao |
| 2022 | From "Dynamics on Graphs" to "Dynamics of Graphs": An Adaptive Echo-State Network Solution (Student Abstract). Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao |
| 2022 | From Actions to Programs as Abstract Actual Causes. Bita Banihashemi, Shakil M. Khan, Mikhail Soutchanski |
| 2022 | From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression. Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang |
| 2022 | From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables. Krtin Kumar, Peyman Passban, Mehdi Rezagholizadeh, Yiu Sing Lau, Qun Liu |
| 2022 | From Good to Best: Two-Stage Training for Cross-Lingual Machine Reading Comprehension. Nuo Chen, Linjun Shou, Ming Gong, Jian Pei |
| 2022 | From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs. Weijie Liu, Hui Qian, Chao Zhang, Jiahao Xie, Zebang Shen, Nenggan Zheng |
| 2022 | From Video to Images: Contrastive Pretraining for Emotion Recognition from Single Image (Student Abstract). Bhanu Garg, Kijun Kim, Sudhanshu Ranjan |
| 2022 | Frozen Pretrained Transformers as Universal Computation Engines. Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch |
| 2022 | Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education. Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Shuanghong Shen, Haiping Ma |
| 2022 | Fully Attentional Network for Semantic Segmentation. Qi Song, Jie Li, Chenghong Li, Hao Guo, Rui Huang |
| 2022 | Fully Spiking Variational Autoencoder. Hiromichi Kamata, Yusuke Mukuta, Tatsuya Harada |
| 2022 | Fusing Task-Oriented and Open-Domain Dialogues in Conversational Agents. Tom Young, Frank Xing, Vlad Pandelea, Jinjie Ni, Erik Cambria |
| 2022 | Fusion Multiple Kernel K-means. Yi Zhang, Xinwang Liu, Jiyuan Liu, Sisi Dai, Changwang Zhang, Kai Xu, En Zhu |
| 2022 | Fuzzy Logic Based Logical Query Answering on Knowledge Graphs. Xuelu Chen, Ziniu Hu, Yizhou Sun |
| 2022 | GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-supervised Learning and Explicit Policy Injection. Wanwei He, Yinpei Dai, Yinhe Zheng, Yuchuan Wu, Zheng Cao, Dermot Liu, Peng Jiang, Min Yang, Fei Huang, Luo Si, Jian Sun, Yongbin Li |
| 2022 | GEQCA: Generic Qualitative Constraint Acquisition. Mohamed-Bachir Belaid, Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar, Helge Spieker |
| 2022 | GNN-Retro: Retrosynthetic Planning with Graph Neural Networks. Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang, Jiaxiang Wu, Shuo Shang, Bin Yao, Xiangliang Zhang |
| 2022 | GRU4RecBE: A Hybrid Session-Based Movie Recommendation System (Student Abstract). Michael Potter, Hamlin Liu, Yash Lala, Christian Loanzon, Yizhou Sun |
| 2022 | Game Balancing in Dominion: An Approach to Identifying Problematic Game Elements. Cassandra Ford, Merrick Ohata |
| 2022 | Game Design for Better Security of Combination Locks. Jean-Pierre Astudillo Guerra, Karim Ahmed, Ryan Maher, Eddie Ubri, Jeremy Blum |
| 2022 | Gaussian Process Bandits with Aggregated Feedback. Mengyan Zhang, Russell Tsuchida, Cheng Soon Ong |
| 2022 | GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation. Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An |
| 2022 | GenCo: Generative Co-training for Generative Adversarial Networks with Limited Data. Kaiwen Cui, Jiaxing Huang, Zhipeng Luo, Gongjie Zhang, Fangneng Zhan, Shijian Lu |
| 2022 | Gender and Racial Stereotype Detection in Legal Opinion Word Embeddings. Seán Matthews, John Hudzina, Dawn Sepehr |
| 2022 | Generalizable Person Re-identification via Self-Supervised Batch Norm Test-Time Adaption. Ke Han, Chenyang Si, Yan Huang, Liang Wang, Tieniu Tan |
| 2022 | Generalization in Mean Field Games by Learning Master Policies. Sarah Perrin, Mathieu Laurière, Julien Pérolat, Romuald Élie, Matthieu Geist, Olivier Pietquin |
| 2022 | Generalized Dynamic Cognitive Hierarchy Models for Strategic Driving Behavior. Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki |
| 2022 | Generalized Equivariance and Preferential Labeling for GNN Node Classification. Zeyu Sun, Wenjie Zhang, Lili Mou, Qihao Zhu, Yingfei Xiong, Lu Zhang |
| 2022 | Generalized Stochastic Matching. Alireza Farhadi, Jacob Gilbert, MohammadTaghi Hajiaghayi |
| 2022 | Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation. Keyu Wu, Min Wu, Zhenghua Chen, Yuecong Xu, Xiaoli Li |
| 2022 | Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering. Peng Shi, Patrick Ng, Feng Nan, Henghui Zhu, Jun Wang, Jiarong Jiang, Alexander Hanbo Li, Rishav Chakravarti, Donald Weidner, Bing Xiang, Zhiguo Wang |
| 2022 | Generative Adaptive Convolutions for Real-World Noisy Image Denoising. Ruijun Ma, Shuyi Li, Bob Zhang, Zhengming Li |
| 2022 | GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction. Shuangli Li, Jingbo Zhou, Tong Xu, Dejing Dou, Hui Xiong |
| 2022 | Geometry Interaction Knowledge Graph Embeddings. Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang |
| 2022 | Geometry-Contrastive Transformer for Generalized 3D Pose Transfer. Haoyu Chen, Hao Tang, Zitong Yu, Nicu Sebe, Guoying Zhao |
| 2022 | Geotagging Social Media Posts to Landmarks Using Hierarchical BERT (Student Abstract). Menglin Li, Kwan Hui Lim |
| 2022 | Gerrymandering under Uncertain Preferences (Student Abstract). Benjamin Kelly |
| 2022 | Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes. Guillermo Infante, Anders Jonsson, Vicenç Gómez |
| 2022 | Go Wider Instead of Deeper. Fuzhao Xue, Ziji Shi, Futao Wei, Yuxuan Lou, Yong Liu, Yang You |
| 2022 | GoTube: Scalable Statistical Verification of Continuous-Depth Models. Sophie A. Gruenbacher, Mathias Lechner, Ramin M. Hasani, Daniela Rus, Thomas A. Henzinger, Scott A. Smolka, Radu Grosu |
| 2022 | Goal Recognition as Reinforcement Learning. Leonardo Amado, Reuth Mirsky, Felipe Meneguzzi |
| 2022 | Grad-Align: Gradual Network Alignment via Graph Neural Networks (Student Abstract). Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao |
| 2022 | Gradient Based Activations for Accurate Bias-Free Learning. Vinod K. Kurmi, Rishabh Sharma, Yash Vardhan Sharma, Vinay P. Namboodiri |
| 2022 | Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win. Utku Evci, Yani Ioannou, Cem Keskin, Yann N. Dauphin |
| 2022 | Gradient Temporal Difference with Momentum: Stability and Convergence. Rohan Deb, Shalabh Bhatnagar |
| 2022 | Gradient and Mangitude Based Pruning for Sparse Deep Neural Networks. Kaleab Belay |
| 2022 | Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification. Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao |
| 2022 | Gradual (In)Compatibility of Fairness Criteria. Corinna Hertweck, Tim Räz |
| 2022 | Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching. Xin Liu, Yangqiu Song |
| 2022 | Graph Filtration Kernels. Till Hendrik Schulz, Pascal Welke, Stefan Wrobel |
| 2022 | Graph Neural Controlled Differential Equations for Traffic Forecasting. Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang, Noseong Park |
| 2022 | Graph Pointer Neural Networks. Tianmeng Yang, Yujing Wang, Zhihan Yue, Yaming Yang, Yunhai Tong, Jing Bai |
| 2022 | Graph Structure Learning with Variational Information Bottleneck. Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu |
| 2022 | Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation. Joonhyung Park, Hajin Shim, Eunho Yang |
| 2022 | Graph-Based Point Tracker for 3D Object Tracking in Point Clouds. Minseong Park, Hongje Seong, Wonje Jang, Euntai Kim |
| 2022 | Graph-Wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning. Thilini Cooray, Ngai-Man Cheung |
| 2022 | GraphMemDialog: Optimizing End-to-End Task-Oriented Dialog Systems Using Graph Memory Networks. Jie Wu, Ian G. Harris, Hongzhi Zhao |
| 2022 | Group-Aware Threshold Adaptation for Fair Classification. Taeuk Jang, Pengyi Shi, Xiaoqian Wang |
| 2022 | Guide Local Feature Matching by Overlap Estimation. Ying Chen, Dihe Huang, Shang Xu, Jianlin Liu, Yong Liu |
| 2022 | GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference. Peng Tu, Yawen Huang, Feng Zheng, Zhenyu He, Liujuan Cao, Ling Shao |
| 2022 | HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting. Chenyu Wang, Zongyu Lin, Xiaochen Yang, Jiao Sun, Mingxuan Yue, Cyrus Shahabi |
| 2022 | HEAL: A Knowledge Graph for Distress Management Conversations. Anuradha Welivita, Pearl Pu |
| 2022 | HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks. Lin Kong, Wei Sun, Fanhua Shang, Yuanyuan Liu, Hongying Liu |
| 2022 | H^2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole Slide Image Analysis. Wentai Hou, Lequan Yu, Chengxuan Lin, Helong Huang, Rongshan Yu, Jing Qin, Liansheng Wang |
| 2022 | Handling Slice Permutations Variability in Tensor Recovery. Jingjing Zheng, Xiaoqin Zhang, Wenzhe Wang, Xianta Jiang |
| 2022 | Handwritten Mathematical Expression Recognition via Attention Aggregation Based Bi-directional Mutual Learning. Xiaohang Bian, Bo Qin, Xiaozhe Xin, Jianwu Li, Xuefeng Su, Yanfeng Wang |
| 2022 | Hard to Forget: Poisoning Attacks on Certified Machine Unlearning. Neil G. Marchant, Benjamin I. P. Rubinstein, Scott Alfeld |
| 2022 | HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images. Meirui Jiang, Zirui Wang, Qi Dou |
| 2022 | Harvest - a System for Creating Structured Rate Filing Data from Filing PDFs. Ender Tekin, Qian You, Devin M. Conathan, Glenn Moo Fung, Thomas S. Kneubuehl |
| 2022 | Has CEO Gender Bias Really Been Fixed? Adversarial Attacking and Improving Gender Fairness in Image Search. Yunhe Feng, Chirag Shah |
| 2022 | Hedonic Diversity Games: A Complexity Picture with More than Two Colors. Robert Ganian, Thekla Hamm, Dusan Knop, Simon Schierreich, Ondrej Suchý |
| 2022 | Hedonic Games with Fixed-Size Coalitions. Vittorio Bilò, Gianpiero Monaco, Luca Moscardelli |
| 2022 | Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers. Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo |
| 2022 | Heterogeneous Facility Location with Limited Resources. Argyrios Deligkas, Aris Filos-Ratsikas, Alexandros A. Voudouris |
| 2022 | Heterogeneous Peer Effects in the Linear Threshold Model. Christopher Tran, Elena Zheleva |
| 2022 | HiTKG: Towards Goal-Oriented Conversations via Multi-Hierarchy Learning. Jinjie Ni, Vlad Pandelea, Tom Young, Haicang Zhou, Erik Cambria |
| 2022 | Hibernated Backdoor: A Mutual Information Empowered Backdoor Attack to Deep Neural Networks. Rui Ning, Jiang Li, Chunsheng Xin, Hongyi Wu, Chonggang Wang |
| 2022 | Hierarchical Context Tagging for Utterance Rewriting. Lisa Jin, Linfeng Song, Lifeng Jin, Dong Yu, Daniel Gildea |
| 2022 | Hierarchical Cross-Modality Semantic Correlation Learning Model for Multimodal Summarization. Litian Zhang, Xiaoming Zhang, Junshu Pan |
| 2022 | Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization. Zixing Song, Irwin King |
| 2022 | Hierarchical Image Generation via Transformer-Based Sequential Patch Selection. Xiaogang Xu, Ning Xu |
| 2022 | Hierarchical Multi-Supervision Multi-Interaction Graph Attention Network for Multi-Camera Pedestrian Trajectory Prediction. Guoliang Zhao, Yuxun Zhou, Zhanbo Xu, Yadong Zhou, Jiang Wu |
| 2022 | Highlighting Object Category Immunity for the Generalization of Human-Object Interaction Detection. Xinpeng Liu, Yong-Lu Li, Cewu Lu |
| 2022 | Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units. Kenny Young |
| 2022 | HoD-Net: High-Order Differentiable Deep Neural Networks and Applications. Siyuan Shen, Tianjia Shao, Kun Zhou, Chenfanfu Jiang, Feng Luo, Yin Yang |
| 2022 | Homography Decomposition Networks for Planar Object Tracking. Xinrui Zhan, Yueran Liu, Jianke Zhu, Yang Li |
| 2022 | Homomorphisms of Lifted Planning Tasks: The Case for Delete-Free Relaxation Heuristics. Rostislav Horcík, Daniel Fiser, Álvaro Torralba |
| 2022 | How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View. Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li |
| 2022 | How General-Purpose Is a Language Model? Usefulness and Safety with Human Prompters in the Wild. Pablo Antonio Moreno Casares, Bao Sheng Loe, John Burden, Seán Ó hÉigeartaigh, José Hernández-Orallo |
| 2022 | How Good Are Low-Rank Approximations in Gaussian Process Regression? Constantinos Daskalakis, Petros Dellaportas, Aristeidis Panos |
| 2022 | How Many Representatives Do We Need? The Optimal Size of a Congress Voting on Binary Issues. Manon Revel, Tao Lin, Daniel Halpern |
| 2022 | How Private Is Your RL Policy? An Inverse RL Based Analysis Framework. Kritika Prakash, Fiza Husain, Praveen Paruchuri, Sujit Gujar |
| 2022 | How to Distribute Data across Tasks for Meta-Learning? Alexandru Cioba, Michael Bromberg, Qian Wang, Ritwik Niyogi, Georgios Batzolis, Jezabel R. Garcia, Da-Shan Shiu, Alberto Bernacchia |
| 2022 | How to Find a Good Explanation for Clustering? Sayan Bandyapadhyay, Fedor V. Fomin, Petr A. Golovach, William Lochet, Nidhi Purohit, Kirill Simonov |
| 2022 | How to Reduce Action Space for Planning Domains? (Student Abstract). Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi, Kavitha Srinivas |
| 2022 | HuggingMolecules: An Open-Source Library for Transformer-Based Molecular Property Prediction (Student Abstract). Piotr Gainski, Lukasz Maziarka, Tomasz Danel, Stanislaw Jastrzebski |
| 2022 | Hybrid Autoregressive Inference for Scalable Multi-Hop Explanation Regeneration. Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira, André Freitas |
| 2022 | Hybrid Curriculum Learning for Emotion Recognition in Conversation. Lin Yang, Yi Shen, Yue Mao, Longjun Cai |
| 2022 | Hybrid Deep Learning Model for Fake News Detection in Social Networks (Student Abstract). Bibek Upadhayay, Vahid Behzadan |
| 2022 | Hybrid Graph Neural Networks for Few-Shot Learning. Tianyuan Yu, Sen He, Yi-Zhe Song, Tao Xiang |
| 2022 | Hybrid Instance-Aware Temporal Fusion for Online Video Instance Segmentation. Xiang Li, Jinglu Wang, Xiao Li, Yan Lu |
| 2022 | Hybrid Neural Networks for On-Device Directional Hearing. Anran Wang, Maruchi Kim, Hao Zhang, Shyamnath Gollakota |
| 2022 | Hyperbolic Disentangled Representation for Fine-Grained Aspect Extraction. Chang-Yu Tai, Ming-Yao Li, Lun-Wei Ku |
| 2022 | Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-Means, and Heat Kernel. Shota Saito |
| 2022 | Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems. Frederik Baymler Mathiesen, Bin Yang, Jilin Hu |
| 2022 | I AM A.I. Gradient Descent - an Open-Source Digital Game for Inquiry-Based CLIL Learning. Carina Geldhauser, Andreas Daniel Matt, Christian Stussak |
| 2022 | I Can Find You! Boundary-Guided Separated Attention Network for Camouflaged Object Detection. Hongwei Zhu, Peng Li, Haoran Xie, Xuefeng Yan, Dong Liang, Dapeng Chen, Mingqiang Wei, Jing Qin |
| 2022 | I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding. Sirisha Rambhatla, Zhengping Che, Yan Liu |
| 2022 | INDEPROP: Information-Preserving De-propagandization of News Articles (Student Abstract). Aaryan Bhagat, Faraaz Mallick, Neel Karia, Ayush Kaushal |
| 2022 | IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling. Chenlin Meng, Enci Liu, Willie Neiswanger, Jiaming Song, Marshall Burke, David B. Lobell, Stefano Ermon |
| 2022 | ISEEQ: Information Seeking Question Generation Using Dynamic Meta-Information Retrieval and Knowledge Graphs. Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin |
| 2022 | Identifiability of Linear AMP Chain Graph Models. Yuhao Wang, Arnab Bhattacharyya |
| 2022 | Identification of Linear Latent Variable Model with Arbitrary Distribution. Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Kun Zhang, Ruichu Cai |
| 2022 | Identifying ATT&CK Tactics in Android Malware Control Flow Graph through Graph Representation Learning and Interpretability (Student Abstract). Jeffrey Fairbanks, Andres Orbe, Christine Patterson, Edoardo Serra, Marion Scheepers |
| 2022 | Identifying Early Warning Signals from News Using Network Community Detection. Nataliya Le Vine, Eric Boxer, Mustafa Dinani, Paolo Tortora, Subhradeep Das |
| 2022 | Idiomatic Expression Paraphrasing without Strong Supervision. Jianing Zhou, Ziheng Zeng, Hongyu Gong, Suma Bhat |
| 2022 | Image Difference Captioning with Pre-training and Contrastive Learning. Linli Yao, Weiying Wang, Qin Jin |
| 2022 | Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions. Wenyu Liu, Gaofeng Ren, Runsheng Yu, Shi Guo, Jianke Zhu, Lei Zhang |
| 2022 | Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification. Xiaohua Chen, Yucan Zhou, Dayan Wu, Wanqian Zhang, Yu Zhou, Bo Li, Weiping Wang |
| 2022 | Imbalance-Aware Uplift Modeling for Observational Data. Xuanying Chen, Zhining Liu, Li Yu, Liuyi Yao, Wenpeng Zhang, Yi Dong, Lihong Gu, Xiaodong Zeng, Yize Tan, Jinjie Gu |
| 2022 | Implicit Gradient Alignment in Distributed and Federated Learning. Yatin Dandi, Luis Barba, Martin Jaggi |
| 2022 | Improved Gradient-Based Adversarial Attacks for Quantized Networks. Kartik Gupta, Thalaiyasingam Ajanthan |
| 2022 | Improved Maximin Guarantees for Subadditive and Fractionally Subadditive Fair Allocation Problem. Masoud Seddighin, Saeed Seddighin |
| 2022 | Improved Text Classification via Contrastive Adversarial Training. Lin Pan, Chung-Wei Hang, Avirup Sil, Saloni Potdar |
| 2022 | Improving 360 Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-Supervised Learning. Ilwi Yun, Hyuk-Jae Lee, Chae-Eun Rhee |
| 2022 | Improving Bayesian Neural Networks by Adversarial Sampling. Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan |
| 2022 | Improving Biomedical Information Retrieval with Neural Retrievers. Man Luo, Arindam Mitra, Tejas Gokhale, Chitta Baral |
| 2022 | Improving Evidential Deep Learning via Multi-Task Learning. Dongpin Oh, Bonggun Shin |
| 2022 | Improving Human-Object Interaction Detection via Phrase Learning and Label Composition. Zhimin Li, Cheng Zou, Yu Zhao, Boxun Li, Sheng Zhong |
| 2022 | Improving Local Search Algorithms via Probabilistic Configuration Checking. Weilin Luo, Rongzhen Ye, Hai Wan, Shaowei Cai, Biqing Fang, Delong Zhang |
| 2022 | Improving Neural Cross-Lingual Abstractive Summarization via Employing Optimal Transport Distance for Knowledge Distillation. Thong Thanh Nguyen, Anh Tuan Luu |
| 2022 | Improving Scene Graph Classification by Exploiting Knowledge from Texts. Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp |
| 2022 | Improving Zero-Shot Phrase Grounding via Reasoning on External Knowledge and Spatial Relations. Zhan Shi, Yilin Shen, Hongxia Jin, Xiaodan Zhu |
| 2022 | Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards. Sebastian Shenghong Tay, Xinyi Xu, Chuan Sheng Foo, Bryan Kian Hsiang Low |
| 2022 | Incomplete Argumentation Frameworks: Properties and Complexity. Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna |
| 2022 | Inconsistent Planning: When in Doubt, Toss a Coin! Yuriy Dementiev, Fedor V. Fomin, Artur Ignatiev |
| 2022 | Incorporating Constituent Syntax for Coreference Resolution. Fan Jiang, Trevor Cohn |
| 2022 | Incorporating Item Frequency for Differentially Private Set Union. Ricardo Silva Carvalho, Ke Wang, Lovedeep Singh Gondara |
| 2022 | Increasing the Diversity of Deep Generative Models. Sebastian Berns |
| 2022 | Individual Representation in Approval-Based Committee Voting. Markus Brill, Jonas Israel, Evi Micha, Jannik Peters |
| 2022 | Inductive Relation Prediction by BERT. Hanwen Zha, Zhiyu Chen, Xifeng Yan |
| 2022 | Inference and Learning with Model Uncertainty in Probabilistic Logic Programs. Victor Verreet, Vincent Derkinderen, Pedro Zuidberg Dos Martires, Luc De Raedt |
| 2022 | Inferring Lexicographically-Ordered Rewards from Preferences. Alihan Hüyük, William R. Zame, Mihaela van der Schaar |
| 2022 | Inferring Multiple Tissue Properties from Magnetic Resonance Fingerprinting Images. Naren Nallapareddy, Soumya Ray |
| 2022 | Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention. Kun Yan, Chenbin Zhang, Jun Hou, Ping Wang, Zied Bouraoui, Shoaib Jameel, Steven Schockaert |
| 2022 | InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation. Pierre Jean A. Colombo, Chloé Clavel, Pablo Piantanida |
| 2022 | Information-Theoretic Bias Reduction via Causal View of Spurious Correlation. Seonguk Seo, Joon-Young Lee, Bohyung Han |
| 2022 | Inharmonious Region Localization by Magnifying Domain Discrepancy. Jing Liang, Li Niu, Penghao Wu, Fengjun Guo, Teng Long |
| 2022 | Input-Specific Robustness Certification for Randomized Smoothing. Ruoxin Chen, Jie Li, Junchi Yan, Ping Li, Bin Sheng |
| 2022 | InsCLR: Improving Instance Retrieval with Self-Supervision. Zelu Deng, Yujie Zhong, Sheng Guo, Weilin Huang |
| 2022 | Instance Selection: A Bayesian Decision Theory Perspective. Qingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang |
| 2022 | Instance-Sensitive Algorithms for Pure Exploration in Multinomial Logit Bandit. Nikolai Karpov, Qin Zhang |
| 2022 | Integer and Constraint Programming Revisited for Mutually Orthogonal Latin Squares (Student Abstract). Noah Rubin, Curtis Bright, Brett Stevens, Kevin K. H. Cheung |
| 2022 | Intelligent Online Selling Point Extraction for E-commerce Recommendation. Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Jianchao Lu, Yun Xiao, Bo Long, Han Yu, Lingfei Wu |
| 2022 | Interact, Embed, and EnlargE: Boosting Modality-Specific Representations for Multi-Modal Person Re-identification. Zi Wang, Chenglong Li, Aihua Zheng, Ran He, Jin Tang |
| 2022 | InteractEva: A Simulation-Based Evaluation Framework for Interactive AI Systems. Yannis Katsis, Maeda F. Hanafi, Martín Santillán Cooper, Yunyao Li |
| 2022 | Interactive Visualizations of Word Embeddings for K-12 Students. Saptarashmi Bandyopadhyay, Jason Xu, Neel Pawar, David S. Touretzky |
| 2022 | Interpretable Clustering via Multi-Polytope Machines. Connor Lawless, Jayant Kalagnanam, Lam M. Nguyen, Dzung T. Phan, Chandra Reddy |
| 2022 | Interpretable Domain Adaptation for Hidden Subdomain Alignment in the Context of Pre-trained Source Models. Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki |
| 2022 | Interpretable Generative Adversarial Networks. Chao Li, Kelu Yao, Jin Wang, Boyu Diao, Yongjun Xu, Quanshi Zhang |
| 2022 | Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. Sein Minn, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima, Feida Zhu |
| 2022 | Interpretable Low-Resource Legal Decision Making. Rohan Bhambhoria, Hui Liu, Samuel Dahan, Xiaodan Zhu |
| 2022 | Interpretable Neural Subgraph Matching for Graph Retrieval. Indradyumna Roy, Venkata Sai Baba Reddy Velugoti, Soumen Chakrabarti, Abir De |
| 2022 | Interpretable Privacy Preservation of Text Representations Using Vector Steganography. Geetanjali Bihani |
| 2022 | Interpreting Gender Bias in Neural Machine Translation: Multilingual Architecture Matters. Marta R. Costa-jussà, Carlos Escolano, Christine Basta, Javier Ferrando, Roser Batlle, Ksenia Kharitonova |
| 2022 | Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction. Tiancheng Lin, Hongteng Xu, Canqian Yang, Yi Xu |
| 2022 | Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals. Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng |
| 2022 | Introducing Symmetries to Black Box Meta Reinforcement Learning. Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram L. Friesen, Junhyuk Oh, Yutian Chen |
| 2022 | Introducing Variational Autoencoders to High School Students. Zhuoyue Lyu, Safinah Arshad Ali, Cynthia Breazeal |
| 2022 | Invariant Action Effect Model for Reinforcement Learning. Zheng-Mao Zhu, Shengyi Jiang, Yu-Ren Liu, Yang Yu, Kun Zhang |
| 2022 | Invariant Information Bottleneck for Domain Generalization. Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado Reed, Dongsheng Li, Kurt Keutzer, Han Zhao |
| 2022 | Investigations of Performance and Bias in Human-AI Teamwork in Hiring. Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar |
| 2022 | Is Discourse Role Important for Emotion Recognition in Conversation? Donovan Ong, Jian Su, Bin Chen, Anh Tuan Luu, Ashok Narendranath, Yue Li, Shuqi Sun, Yingzhan Lin, Haifeng Wang |
| 2022 | Is There a Strongest Die in a Set of Dice with the Same Mean Pips? Shang Lu, Shuji Kijima |
| 2022 | Is Your Data Relevant?: Dynamic Selection of Relevant Data for Federated Learning. Lokesh Nagalapatti, Ruhi Sharma Mittal, Ramasuri Narayanam |
| 2022 | Iterative Calculus of Voting under Plurality. Fabricio Vasselai |
| 2022 | Iterative Contrast-Classify for Semi-supervised Temporal Action Segmentation. Dipika Singhania, Rahul Rahaman, Angela Yao |
| 2022 | Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier. Youngjo Lee, Hongje Seong, Euntai Kim |
| 2022 | JAKET: Joint Pre-training of Knowledge Graph and Language Understanding. Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng |
| 2022 | JFB: Jacobian-Free Backpropagation for Implicit Networks. Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley J. Osher, Wotao Yin |
| 2022 | JPV-Net: Joint Point-Voxel Representations for Accurate 3D Object Detection. Nan Song, Tianyuan Jiang, Jian Yao |
| 2022 | JoTA: Aligning Multilingual Job Taxonomies through Word Embeddings (Student Abstract). Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica |
| 2022 | Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds. Junho Koh, Jaekyum Kim, Jin Hyeok Yoo, Yecheol Kim, Dongsuk Kum, Jun Won Choi |
| 2022 | Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections. Zhenzhang Ye, Tarun Yenamandra, Florian Bernard, Daniel Cremers |
| 2022 | Joint Human Pose Estimation and Instance Segmentation with PosePlusSeg. Niaz Ahmad, Jawad Khan, Jeremy Yuhyun Kim, Youngmoon Lee |
| 2022 | KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-zero Training Loss. Yuhan Chen, Takashi Matsubara, Takaharu Yaguchi |
| 2022 | KATG: Keyword-Bias-Aware Adversarial Text Generation for Text Classification. Lingfeng Shen, Shoushan Li, Ying Chen |
| 2022 | KGR4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation. Xin Liu, Dayiheng Liu, Baosong Yang, Haibo Zhang, Junwei Ding, Wenqing Yao, Weihua Luo, Haiying Zhang, Jinsong Su |
| 2022 | KID-Review: Knowledge-Guided Scientific Review Generation with Oracle Pre-training. Weizhe Yuan, Pengfei Liu |
| 2022 | KOALA: A Kalman Optimization Algorithm with Loss Adaptivity. Aram Davtyan, Sepehr Sameni, Llukman Cerkezi, Givi Meishvili, Adam Bielski, Paolo Favaro |
| 2022 | KerGNNs: Interpretable Graph Neural Networks with Graph Kernels. Aosong Feng, Chenyu You, Shiqiang Wang, Leandros Tassiulas |
| 2022 | Keypoint Message Passing for Video-Based Person Re-identification. Di Chen, Andreas Doering, Shanshan Zhang, Jian Yang, Juergen Gall, Bernt Schiele |
| 2022 | Knowledge Bridging for Empathetic Dialogue Generation. Qintong Li, Piji Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen |
| 2022 | Knowledge Compilation Meets Logical Separability. Junming Qiu, Wenqing Li, Zhanhao Xiao, Quanlong Guan, Liangda Fang, Zhao-Rong Lai, Qian Dong |
| 2022 | Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-Guided Feature Imitation. Gang Li, Xiang Li, Yujie Wang, Shanshan Zhang, Yichao Wu, Ding Liang |
| 2022 | Knowledge Distillation via Constrained Variational Inference. Ardavan Saeedi, Yuria Utsumi, Li Sun, Kayhan Batmanghelich, Li-Wei H. Lehman |
| 2022 | Knowledge Sharing via Domain Adaptation in Customs Fraud Detection. Sungwon Park, Sundong Kim, Meeyoung Cha |
| 2022 | Knowledge-Enhanced Scene Graph Generation with Multimodal Relation Alignment (Student Abstract). Ze Fu, Junhao Feng, Changmeng Zheng, Yi Cai |
| 2022 | L-CoDe: Language-Based Colorization Using Color-Object Decoupled Conditions. Shuchen Weng, Hao Wu, Zheng Chang, Jiajun Tang, Si Li, Boxin Shi |
| 2022 | LAGConv: Local-Context Adaptive Convolution Kernels with Global Harmonic Bias for Pansharpening. Zi-Rong Jin, Tian-Jing Zhang, Tai-Xiang Jiang, Gemine Vivone, Liang-Jian Deng |
| 2022 | LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization. Zhiwei Chen, Changan Wang, Yabiao Wang, Guannan Jiang, Yunhang Shen, Ying Tai, Chengjie Wang, Wei Zhang, Liujuan Cao |
| 2022 | LGD: Label-Guided Self-Distillation for Object Detection. Peizhen Zhang, Zijian Kang, Tong Yang, Xiangyu Zhang, Nanning Zheng, Jian Sun |
| 2022 | LIMREF: Local Interpretable Model Agnostic Rule-Based Explanations for Forecasting, with an Application to Electricity Smart Meter Data. Dilini Rajapaksha, Christoph Bergmeir |
| 2022 | LITMUS Predictor: An AI Assistant for Building Reliable, High-Performing and Fair Multilingual NLP Systems. Anirudh Srinivasan, Gauri Kholkar, Rahul Kejriwal, Tanuja Ganu, Sandipan Dandapat, Sunayana Sitaram, Balakrishnan Santhanam, Somak Aditya, Kalika Bali, Monojit Choudhury |
| 2022 | LOGICDEF: An Interpretable Defense Framework against Adversarial Examples via Inductive Scene Graph Reasoning. Yuan Yang, James Clayton Kerce, Faramarz Fekri |
| 2022 | LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification. Jiangjie Chen, Qiaoben Bao, Changzhi Sun, Xinbo Zhang, Jiaze Chen, Hao Zhou, Yanghua Xiao, Lei Li |
| 2022 | LUNA: Localizing Unfamiliarity Near Acquaintance for Open-Set Long-Tailed Recognition. Jiarui Cai, Yizhou Wang, Hung-Min Hsu, Jenq-Neng Hwang, Kelsey Magrane, Craig S. Rose |
| 2022 | LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks. Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng |
| 2022 | LaSSL: Label-Guided Self-Training for Semi-supervised Learning. Zhen Zhao, Luping Zhou, Lei Wang, Yinghuan Shi, Yang Gao |
| 2022 | Label Hallucination for Few-Shot Classification. Yiren Jian, Lorenzo Torresani |
| 2022 | Label-Efficient Hybrid-Supervised Learning for Medical Image Segmentation. Junwen Pan, Qi Bi, Yanzhan Yang, Pengfei Zhu, Cheng Bian |
| 2022 | Laneformer: Object-Aware Row-Column Transformers for Lane Detection. Jianhua Han, Xiajun Deng, Xinyue Cai, Zhen Yang, Hang Xu, Chunjing Xu, Xiaodan Liang |
| 2022 | Language Model Priming for Cross-Lingual Event Extraction. Steven Fincke, Shantanu Agarwal, Scott Miller, Elizabeth Boschee |
| 2022 | Language Modelling via Learning to Rank. Arvid Frydenlund, Gagandeep Singh, Frank Rudzicz |
| 2022 | Large-Neighbourhood Search for Optimisation in Answer-Set Solving. Thomas Eiter, Tobias Geibinger, Nelson Higuera Ruiz, Nysret Musliu, Johannes Oetsch, Daria Stepanova |
| 2022 | Large-Scale IP Usage Identification via Deep Ensemble Learning (Student Abstract). Zhiyuan Wang, Fan Zhou, Kunpeng Zhang, Yong Wang |
| 2022 | Latent Space Explanation by Intervention. Itai Gat, Guy Lorberbom, Idan Schwartz, Tamir Hazan |
| 2022 | Latent Space Simulation for Carbon Capture Design Optimization. Brian R. Bartoldson, Rui Wang, Yucheng Fu, David P. Widemann, Sam Nguyen, Jie Bao, Zhijie Xu, Brenda Ng |
| 2022 | Latent Time Neural Ordinary Differential Equations. Srinivas Anumasa, P. K. Srijith |
| 2022 | LeSICiN: A Heterogeneous Graph-Based Approach for Automatic Legal Statute Identification from Indian Legal Documents. Shounak Paul, Pawan Goyal, Saptarshi Ghosh |
| 2022 | Leaping through Time with Gradient-Based Adaptation for Recommendation. Nuttapong Chairatanakul, Hoang NT, Xin Liu, Tsuyoshi Murata |
| 2022 | Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning. Jinxin Liu, Donglin Wang, Qiangxing Tian, Zhengyu Chen |
| 2022 | Learngene: From Open-World to Your Learning Task. Qiu-Feng Wang, Xin Geng, Shuxia Lin, Shiyu Xia, Lei Qi, Ning Xu |
| 2022 | Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks. Yijie Guo, Qiucheng Wu, Honglak Lee |
| 2022 | Learning Adversarial Markov Decision Processes with Delayed Feedback. Tal Lancewicki, Aviv Rosenberg, Yishay Mansour |
| 2022 | Learning Aligned Cross-Modal Representation for Generalized Zero-Shot Classification. Zhiyu Fang, Xiaobin Zhu, Chun Yang, Zheng Han, Jingyan Qin, Xu-Cheng Yin |
| 2022 | Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection. Xianpeng Liu, Nan Xue, Tianfu Wu |
| 2022 | Learning Bayesian Networks in the Presence of Structural Side Information. Ehsan Mokhtarian, Sina Akbari, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash |
| 2022 | Learning Bounded Context-Free-Grammar via LSTM and the Transformer: Difference and the Explanations. Hui Shi, Sicun Gao, Yuandong Tian, Xinyun Chen, Jishen Zhao |
| 2022 | Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract). Zhangtao Cheng, Ting Zhong, Kunpeng Zhang, Joojo Walker, Fan Zhou |
| 2022 | Learning Disentangled Attribute Representations for Robust Pedestrian Attribute Recognition. Jian Jia, Naiyu Gao, Fei He, Xiaotang Chen, Kaiqi Huang |
| 2022 | Learning Disentangled Classification and Localization Representations for Temporal Action Localization. Zixin Zhu, Le Wang, Wei Tang, Ziyi Liu, Nanning Zheng, Gang Hua |
| 2022 | Learning Economic Indicators by Aggregating Multi-Level Geospatial Information. Sungwon Park, Sungwon Han, DongHyun Ahn, Jaeyeon Kim, Jeasurk Yang, Susang Lee, Seunghoon Hong, Jihee Kim, Sangyoon Park, Hyunjoo Yang, Meeyoung Cha |
| 2022 | Learning Expected Emphatic Traces for Deep RL. Ray Jiang, Shangtong Zhang, Veronica Chelu, Adam White, Hado van Hasselt |
| 2022 | Learning Human Driving Behaviors with Sequential Causal Imitation Learning. Kangrui Ruan, Xuan Di |
| 2022 | Learning Influence Adoption in Heterogeneous Networks. Vincent Conitzer, Debmalya Panigrahi, Hanrui Zhang |
| 2022 | Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics. Pierre Gillot, Pekka Parviainen |
| 2022 | Learning Logic Programs Though Divide, Constrain, and Conquer. Andrew Cropper |
| 2022 | Learning Losses for Strategic Classification. Tosca Lechner, Ruth Urner |
| 2022 | Learning Mixture of Domain-Specific Experts via Disentangled Factors for Autonomous Driving. Inhan Kim, Joonyeong Lee, Daijin Kim |
| 2022 | Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract). Arjun Ashok, Chaitanya Devaguptapu, Vineeth N. Balasubramanian |
| 2022 | Learning Network Architecture for Open-Set Recognition. Xuelin Zhang, Xuelian Cheng, Donghao Zhang, C. Paul Bonnington, Zongyuan Ge |
| 2022 | Learning Not to Learn: Nature versus Nurture In Silico. Robert Tjarko Lange, Henning Sprekeler |
| 2022 | Learning Optical Flow with Adaptive Graph Reasoning. Ao Luo, Fan Yang, Kunming Luo, Xin Li, Haoqiang Fan, Shuaicheng Liu |
| 2022 | Learning Parameterized Task Structure for Generalization to Unseen Entities. Anthony Z. Liu, Sungryull Sohn, Mahdi Qazwini, Honglak Lee |
| 2022 | Learning Probably Approximately Complete and Safe Action Models for Stochastic Worlds. Brendan Juba, Roni Stern |
| 2022 | Learning Quality-Aware Representation for Multi-Person Pose Regression. Yabo Xiao, Dongdong Yu, Xiaojuan Wang, Lei Jin, Guoli Wang, Qian Zhang |
| 2022 | Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization. Yufei Kuang, Miao Lu, Jie Wang, Qi Zhou, Bin Li, Houqiang Li |
| 2022 | Learning Space-Time Crop Yield Patterns with Zigzag Persistence-Based LSTM: Toward More Reliable Digital Agriculture Insurance. Tian Jiang, Meichen Huang, Ignacio Segovia-Dominguez, Nathaniel K. Newlands, Yulia R. Gel |
| 2022 | Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences. Vinayak Gupta, Srikanta Bedathur, Abir De |
| 2022 | Learning Temporally and Semantically Consistent Unpaired Video-to-Video Translation through Pseudo-Supervision from Synthetic Optical Flow. Kaihong Wang, Kumar Akash, Teruhisa Misu |
| 2022 | Learning Token-Based Representation for Image Retrieval. Hui Wu, Min Wang, Wengang Zhou, Yang Hu, Houqiang Li |
| 2022 | Learning Universal Adversarial Perturbation by Adversarial Example. Maosen Li, Yanhua Yang, Kun Wei, Xu Yang, Heng Huang |
| 2022 | Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders. Abhishek Banerjee, Uttaran Bhattacharya, Aniket Bera |
| 2022 | Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion. Ruiqi Gao, Jianwen Xie, Siyuan Huang, Yufan Ren, Song-Chun Zhu, Ying Nian Wu |
| 2022 | Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration. Sijie He, Xinyan Li, Laurie Trenary, Benjamin A. Cash, Timothy DelSole, Arindam Banerjee |
| 2022 | Learning by Competition of Self-Interested Reinforcement Learning Agents. Stephen Chung |
| 2022 | Learning from Label Proportions with Prototypical Contrastive Clustering. Laura Elena Cué La Rosa, Dário Augusto Borges Oliveira |
| 2022 | Learning from Mistakes - a Framework for Neural Architecture Search. Bhanu Garg, Li Zhang, Pradyumna Sridhara, Ramtin Hosseini, Eric P. Xing, Pengtao Xie |
| 2022 | Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts. Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister |
| 2022 | Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples. Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu |
| 2022 | Learning from the Tangram to Solve Mini Visual Tasks. Yizhou Zhao, Liang Qiu, Pan Lu, Feng Shi, Tian Han, Song-Chun Zhu |
| 2022 | Learning from the Target: Dual Prototype Network for Few Shot Semantic Segmentation. Binjie Mao, Xinbang Zhang, Lingfeng Wang, Qian Zhang, Shiming Xiang, Chunhong Pan |
| 2022 | Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing. Chenchen Jing, Yunde Jia, Yuwei Wu, Chuanhao Li, Qi Wu |
| 2022 | Learning the Optimal Recommendation from Explorative Users. Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu |
| 2022 | Learning the Physics of Particle Transport via Transformers. Oscar Pastor-Serrano, Zoltán Perkó |
| 2022 | Learning to Ask for Data-Efficient Event Argument Extraction (Student Abstract). Hongbin Ye, Ningyu Zhang, Zhen Bi, Shumin Deng, Chuanqi Tan, Hui Chen, Fei Huang, Huajun Chen |
| 2022 | Learning to Detect 3D Facial Landmarks via Heatmap Regression with Graph Convolutional Network. Yuan Wang, Min Cao, Zhenfeng Fan, Silong Peng |
| 2022 | Learning to Evolve on Dynamic Graphs (Student Abstract). Xintao Xiang, Tiancheng Huang, Donglin Wang |
| 2022 | Learning to Identify Top Elo Ratings: A Dueling Bandits Approach. Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen |
| 2022 | Learning to Learn Transferable Attack. Shuman Fang, Jie Li, Xianming Lin, Rongrong Ji |
| 2022 | Learning to Model Pixel-Embedded Affinity for Homogeneous Instance Segmentation. Wei Huang, Shiyu Deng, Chang Chen, Xueyang Fu, Zhiwei Xiong |
| 2022 | Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints. Ruijin Liu, Dapeng Chen, Tie Liu, Zhiliang Xiong, Zejian Yuan |
| 2022 | Learning to Rank Articles for Molecular Queries. Galia Nordon, Aviram Magen, Ido Guy, Kira Radinsky |
| 2022 | Learning to Search in Local Branching. Defeng Liu, Matteo Fischetti, Andrea Lodi |
| 2022 | Learning to Solve Routing Problems via Distributionally Robust Optimization. Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang |
| 2022 | Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum. Zeyang Zhang, Ziwei Zhang, Xin Wang, Wenwu Zhu |
| 2022 | Learning to Transfer with von Neumann Conditional Divergence. Ammar Shaker, Shujian Yu, Daniel Oñoro-Rubio |
| 2022 | Learning to Walk with Dual Agents for Knowledge Graph Reasoning. Denghui Zhang, Zixuan Yuan, Hao Liu, Xiaodong Lin, Hui Xiong |
| 2022 | Learning-Augmented Algorithms for Online Steiner Tree. Chenyang Xu, Benjamin Moseley |
| 2022 | Leashing the Inner Demons: Self-Detoxification for Language Models. Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley |
| 2022 | Less Is More: Pay Less Attention in Vision Transformers. Zizheng Pan, Bohan Zhuang, Haoyu He, Jing Liu, Jianfei Cai |
| 2022 | Lifelong Generative Modelling Using Dynamic Expansion Graph Model. Fei Ye, Adrian G. Bors |
| 2022 | Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization. Pierre Liotet, Francesco Vidaich, Alberto Maria Metelli, Marcello Restelli |
| 2022 | Lifelong Person Re-identification by Pseudo Task Knowledge Preservation. Wenhang Ge, Junlong Du, Ancong Wu, Yuqiao Xian, Ke Yan, Feiyue Huang, Wei-Shi Zheng |
| 2022 | Linear-Time Verification of Data-Aware Dynamic Systems with Arithmetic. Paolo Felli, Marco Montali, Sarah Winkler |
| 2022 | Linearity-Aware Subspace Clustering. Yesong Xu, Shuo Chen, Jun Li, Jianjun Qian |
| 2022 | Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract). Liu Yu, Xovee Xu, Ting Zhong, Goce Trajcevski, Fan Zhou |
| 2022 | Liquid Democracy with Ranked Delegations. Markus Brill, Théo Delemazure, Anne-Marie George, Martin Lackner, Ulrike Schmidt-Kraepelin |
| 2022 | Listwise Learning to Rank Based on Approximate Rank Indicators. Thibaut Thonet, Yagmur Gizem Cinar, Éric Gaussier, Minghan Li, Jean-Michel Renders |
| 2022 | Local Differential Privacy for Belief Functions. Qiyu Li, Chunlai Zhou, Biao Qin, Zhiqiang Xu |
| 2022 | Local Justice and the Algorithmic Allocation of Scarce Societal Resources. Sanmay Das |
| 2022 | Local Similarity Pattern and Cost Self-Reassembling for Deep Stereo Matching Networks. Biyang Liu, Huimin Yu, Yangqi Long |
| 2022 | Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising. Wenbo Zhao, Xianming Liu, Junjun Jiang, Debin Zhao, Ge Li, Xiangyang Ji |
| 2022 | Local and Global Convergence of General Burer-Monteiro Tensor Optimizations. Shuang Li, Qiuwei Li |
| 2022 | Local and Global Linear Convergence of General Low-Rank Matrix Recovery Problems. Yingjie Bi, Haixiang Zhang, Javad Lavaei |
| 2022 | Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning. Roy Zohar, Shie Mannor, Guy Tennenholtz |
| 2022 | Locally Fair Partitioning. Pankaj K. Agarwal, Shao-Heng Ko, Kamesh Munagala, Erin Taylor |
| 2022 | Locally Private k-Means Clustering with Constant Multiplicative Approximation and Near-Optimal Additive Error. Anamay Chaturvedi, Matthew Jones, Huy Le Nguyen |
| 2022 | Logic Rule Guided Attribution with Dynamic Ablation. Jianqiao An, Yuandu Lai, Yahong Han |
| 2022 | Logit Perturbation. Mengyang Li, Fengguang Su, Ou Wu, Ji Zhang |
| 2022 | Longitudinal Fairness with Censorship. Wenbin Zhang, Jeremy C. Weiss |
| 2022 | Low-Light Image Enhancement with Normalizing Flow. Yufei Wang, Renjie Wan, Wenhan Yang, Haoliang Li, Lap-Pui Chau, Alex C. Kot |
| 2022 | Low-Pass Graph Convolutional Network for Recommendation. Wenhui Yu, Zixin Zhang, Zheng Qin |
| 2022 | Lower Bounds on Intermediate Results in Bottom-Up Knowledge Compilation. Alexis de Colnet, Stefan Mengel |
| 2022 | Ludus: An Optimization Framework to Balance Auto Battler Cards. Nathaniel Budijono, Phoebe Goldman, Jack Maloney, Joseph B. Mueller, Phillip Walker, Jack Ladwig, Richard G. Freedman |
| 2022 | MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-Based Image Captioning. Wenqiao Zhang, Haochen Shi, Jiannan Guo, Shengyu Zhang, Qingpeng Cai, Juncheng Li, Sihui Luo, Yueting Zhuang |
| 2022 | MAPDP: Cooperative Multi-Agent Reinforcement Learning to Solve Pickup and Delivery Problems. Zefang Zong, Meng Zheng, Yong Li, Depeng Jin |
| 2022 | MAPF-LNS2: Fast Repairing for Multi-Agent Path Finding via Large Neighborhood Search. Jiaoyang Li, Zhe Chen, Daniel Harabor, Peter J. Stuckey, Sven Koenig |
| 2022 | MBGRLp: Multiscale Bootstrap Graph Representation Learning on Pointcloud (Student Abstract). Vandan Gorade, Azad Singh, Deepak Mishra |
| 2022 | MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue Evaluation. Chen Zhang, Luis Fernando D'Haro, Thomas Friedrichs, Haizhou Li |
| 2022 | MDPGT: Momentum-Based Decentralized Policy Gradient Tracking. Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar |
| 2022 | MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation. Zhongzhi Yu, Yonggan Fu, Sicheng Li, Chaojian Li, Yingyan Lin |
| 2022 | MINIMAL: Mining Models for Universal Adversarial Triggers. Yaman Kumar Singla, Swapnil Parekh, Somesh Singh, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah |
| 2022 | MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers. Elias B. Khalil, Christopher Morris, Andrea Lodi |
| 2022 | MLink: Linking Black-Box Models for Collaborative Multi-Model Inference. Mu Yuan, Lan Zhang, Xiang-Yang Li |
| 2022 | MMA: Multi-Camera Based Global Motion Averaging. Hainan Cui, Shuhan Shen |
| 2022 | MMAN: Metapath Based Multi-Level Graph Attention Networks for Heterogeneous Network Embedding (Student Abstract). Jie Liu, Lingyun Song, Li Gao, Xuequn Shang |
| 2022 | MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition. Zhanghan Ke, Jiayu Sun, Kaican Li, Qiong Yan, Rynson W. H. Lau |
| 2022 | MONICA2: Mobile Neural Voice Command Assistants towards Smaller and Smarter. Yoonseok Hong, Shounan An, Sunwoo Im, Jaegeon Jo, Insoo Oh |
| 2022 | MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation. Safa C. Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua B. Tenenbaum, Xiaoming Liu, Tim K. Marks |
| 2022 | MS-HGAT: Memory-Enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction. Ling Sun, Yuan Rao, Xiangbo Zhang, Yuqian Lan, Shuanghe Yu |
| 2022 | MSML: Enhancing Occlusion-Robustness by Multi-Scale Segmentation-Based Mask Learning for Face Recognition. Ge Yuan, Huicheng Zheng, Jiayu Dong |
| 2022 | MTLDesc: Looking Wider to Describe Better. Changwei Wang, Rongtao Xu, Yuyang Zhang, Shibiao Xu, Weiliang Meng, Bin Fan, Xiaopeng Zhang |
| 2022 | MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers. Yihuai Lan, Lei Wang, Qiyuan Zhang, Yunshi Lan, Bing Tian Dai, Yan Wang, Dongxiang Zhang, Ee-Peng Lim |
| 2022 | Machine Learning for Online Algorithm Selection under Censored Feedback. Alexander Tornede, Viktor Bengs, Eyke Hüllermeier |
| 2022 | Machine Learning for Utility Prediction in Argument-Based Computational Persuasion. Ivan Donadello, Anthony Hunter, Stefano Teso, Mauro Dragoni |
| 2022 | Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment. Lukas Graf, Tobias Harks, Kostas Kollias, Michael Markl |
| 2022 | Making Adversarial Examples More Transferable and Indistinguishable. Junhua Zou, Yexin Duan, Boyu Li, Wu Zhang, Yu Pan, Zhisong Pan |
| 2022 | Making Translations to Classical Planning Competitive with Other HTN Planners. Gregor Behnke, Florian Pollitt, Daniel Höller, Pascal Bercher, Ron Alford |
| 2022 | Manipulating SHAP via Adversarial Data Perturbations (Student Abstract). Hubert Baniecki, Przemyslaw Biecek |
| 2022 | Market Design for Drone Traffic Management. Sven Seuken, Paul Friedrich, Ludwig Dierks |
| 2022 | Mastering the Explicit Opinion-Role Interaction: Syntax-Aided Neural Transition System for Unified Opinion Role Labeling. Shengqiong Wu, Hao Fei, Fei Li, Meishan Zhang, Yijiang Liu, Chong Teng, Donghong Ji |
| 2022 | Matching Market Design with Constraints. Haris Aziz, Péter Biró, Makoto Yokoo |
| 2022 | Max-Margin Contrastive Learning. Anshul Shah, Suvrit Sra, Rama Chellappa, Anoop Cherian |
| 2022 | Max-Min Grouped Bandits. Zhenlin Wang, Jonathan Scarlett |
| 2022 | Maximizing Nash Social Welfare in 2-Value Instances. Hannaneh Akrami, Bhaskar Ray Chaudhury, Martin Hoefer, Kurt Mehlhorn, Marco Schmalhofer, Golnoosh Shahkarami, Giovanna Varricchio, Quentin Vermande, Ernest van Wijland |
| 2022 | MeTeoR: Practical Reasoning in Datalog with Metric Temporal Operators. Dingmin Wang, Pan Hu, Przemyslaw Andrzej Walega, Bernardo Cuenca Grau |
| 2022 | Measuring Students' Engagement with Digital Interactive Textbooks by Analyzing Clickstream Data. Breanne Crockett |
| 2022 | Memory-Based Jitter: Improving Visual Recognition on Long-Tailed Data with Diversity in Memory. Jialun Liu, Wenhui Li, Yifan Sun |
| 2022 | Memory-Guided Semantic Learning Network for Temporal Sentence Grounding. Daizong Liu, Xiaoye Qu, Xing Di, Yu Cheng, Zichuan Xu, Pan Zhou |
| 2022 | Memotion Analysis through the Lens of Joint Embedding (Student Abstract). Nethra Gunti, Sathyanarayanan Ramamoorthy, Parth Patwa, Amitava Das |
| 2022 | Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment. Guangxing Han, Shiyuan Huang, Jiawei Ma, Yicheng He, Shih-Fu Chang |
| 2022 | Meta Propagation Networks for Graph Few-shot Semi-supervised Learning. Kaize Ding, Jianling Wang, James Caverlee, Huan Liu |
| 2022 | Meta-Learning for Online Update of Recommender Systems. Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee |
| 2022 | MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning. Baoquan Zhang, Xutao Li, Shanshan Feng, Yunming Ye, Rui Ye |
| 2022 | Micronutrient Deficiency Prediction via Publicly Available Satellite Data. Elizabeth Bondi, Haipeng Chen, Christopher D. Golden, Nikhil Behari, Milind Tambe |
| 2022 | Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He |
| 2022 | Minimally-Supervised Joint Learning of Event Volitionality and Subject Animacy Classification. Hirokazu Kiyomaru, Sadao Kurohashi |
| 2022 | Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors. Maryam Tabar, Dongwon Lee, David P. Hughes, Amulya Yadav |
| 2022 | Mitigating Reporting Bias in Semi-supervised Temporal Commonsense Inference with Probabilistic Soft Logic. Bibo Cai, Xiao Ding, Bowen Chen, Li Du, Ting Liu |
| 2022 | Mixed Embedding of XLM for Unsupervised Cantonese-Chinese Neural Machine Translation (Student Abstract). Ka Ming Wong, Richard Tzong-Han Tsai |
| 2022 | MoCaNet: Motion Retargeting In-the-Wild via Canonicalization Networks. Wentao Zhu, Zhuoqian Yang, Ziang Di, Wayne Wu, Yizhou Wang, Chen Change Loy |
| 2022 | MobileFaceSwap: A Lightweight Framework for Video Face Swapping. Zhiliang Xu, Zhibin Hong, Changxing Ding, Zhen Zhu, Junyu Han, Jingtuo Liu, Errui Ding |
| 2022 | Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared Person Re-identification. Zhipeng Huang, Jiawei Liu, Liang Li, Kecheng Zheng, Zheng-Jun Zha |
| 2022 | Model AI Assignments 2022. Todd W. Neller, Jazmin Collins, Daniel Schneider, Yim Register, Christopher Brooks, Chia-Wei Tang, Chao-Lin Liu, Roozbeh Aliabadi, Annabel Hasty, Sultan Albarakati, Haotian Fang, Harvey Yin, Joel Wilson |
| 2022 | Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers. Zunlei Feng, Jiacong Hu, Sai Wu, Xiaotian Yu, Jie Song, Mingli Song |
| 2022 | Model-Based Diagnosis of Multi-Agent Systems: A Survey. Meir Kalech, Avraham Natan |
| 2022 | Model-Based Image Signal Processors via Learnable Dictionaries. Marcos V. Conde, Steven McDonagh, Matteo Maggioni, Ales Leonardis, Eduardo Pérez-Pellitero |
| 2022 | Modeling Abstract Algebra as an OWL Ontology (Student Abstract). Michael Vance |
| 2022 | Modeling Attrition in Recommender Systems with Departing Bandits. Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour |
| 2022 | Modeling Constraints Can Identify Winning Arguments in Multi-Party Interactions (Student Abstract). Suzanna Sia, Kokil Jaidka, Niyati Chayya, Kevin Duh |
| 2022 | Modification-Fair Cluster Editing. Vincent Froese, Leon Kellerhals, Rolf Niedermeier |
| 2022 | Modify Self-Attention via Skeleton Decomposition for Effective Point Cloud Transformer. Jiayi Han, Longbin Zeng, Liang Du, Xiaoqing Ye, Weiyang Ding, Jianfeng Feng |
| 2022 | Molecular Contrastive Learning with Chemical Element Knowledge Graph. Yin Fang, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan, Huajun Chen |
| 2022 | Monocular Camera-Based Point-Goal Navigation by Learning Depth Channel and Cross-Modality Pyramid Fusion. Tianqi Tang, Heming Du, Xin Yu, Yi Yang |
| 2022 | Monotone Abstractions in Ontology-Based Data Management. Gianluca Cima, Marco Console, Maurizio Lenzerini, Antonella Poggi |
| 2022 | MuMu: Cooperative Multitask Learning-Based Guided Multimodal Fusion. Md Mofijul Islam, Tariq Iqbal |
| 2022 | MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding. Revanth Gangi Reddy, Xilin Rui, Manling Li, Xudong Lin, Haoyang Wen, Jaemin Cho, Lifu Huang, Mohit Bansal, Avirup Sil, Shih-Fu Chang, Alexander G. Schwing, Heng Ji |
| 2022 | Multi-Agent Incentive Communication via Decentralized Teammate Modeling. Lei Yuan, Jianhao Wang, Fuxiang Zhang, Chenghe Wang, Zongzhang Zhang, Yang Yu, Chongjie Zhang |
| 2022 | Multi-Agent Reinforcement Learning Controller to Maximize Energy Efficiency for Multi-Generator Industrial Wave Energy Converter. Soumyendu Sarkar, Vineet Gundecha, Alexander Shmakov, Sahand Ghorbanpour, Ashwin Ramesh Babu, Paolo Faraboschi, Mathieu Cocho, Alexandre Pichard, Jonathan Fievez |
| 2022 | Multi-Agent Reinforcement Learning with General Utilities via Decentralized Shadow Reward Actor-Critic. Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel |
| 2022 | Multi-Centroid Representation Network for Domain Adaptive Person Re-ID. Yuhang Wu, Tengteng Huang, Haotian Yao, Chi Zhang, Yuanjie Shao, Chuchu Han, Changxin Gao, Nong Sang |
| 2022 | Multi-Dimension Attention for Multi-Turn Dialog Generation (Student Abstract). Billal Belainine, Fatiha Sadat, Mounir Boukadoum |
| 2022 | Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach. Chuang Zhao, Hongke Zhao, Runze Wu, Qilin Deng, Yu Ding, Jianrong Tao, Changjie Fan |
| 2022 | Multi-Head Modularization to Leverage Generalization Capability in Multi-Modal Networks. Jun-Tae Lee, Hyunsin Park, Sungrack Yun, Simyung Chang |
| 2022 | Multi-Knowledge Aggregation and Transfer for Semantic Segmentation. Yuang Liu, Wei Zhang, Jun Wang |
| 2022 | Multi-Leader Congestion Games with an Adversary. Tobias Harks, Mona Henle, Max Klimm, Jannik Matuschke, Anja Schedel |
| 2022 | Multi-Modal Answer Validation for Knowledge-Based VQA. Jialin Wu, Jiasen Lu, Ashish Sabharwal, Roozbeh Mottaghi |
| 2022 | Multi-Modal Perception Attention Network with Self-Supervised Learning for Audio-Visual Speaker Tracking. Yidi Li, Hong Liu, Hao Tang |
| 2022 | Multi-Mode Tensor Space Clustering Based on Low-Tensor-Rank Representation. Yicong He, George K. Atia |
| 2022 | Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network. Guanzheng Chen, Jinyuan Fang, Zaiqiao Meng, Qiang Zhang, Shangsong Liang |
| 2022 | Multi-Sacle Dynamic Coding Improved Spiking Actor Network for Reinforcement Learning. Duzhen Zhang, Tielin Zhang, Shuncheng Jia, Bo Xu |
| 2022 | Multi-Scale Distillation from Multiple Graph Neural Networks. Chunhai Zhang, Jie Liu, Kai Dang, Wenzheng Zhang |
| 2022 | Multi-Type Urban Crime Prediction. Xiangyu Zhao, Wenqi Fan, Hui Liu, Jiliang Tang |
| 2022 | Multi-Unit Auction in Social Networks with Budgets. Mingyu Xiao, Yuchao Song, Bakh Khoussainov |
| 2022 | Multi-View Adjacency-Constrained Nearest Neighbor Clustering (Student Abstract). Jie Yang, Chin-Teng Lin |
| 2022 | Multi-View Clustering on Topological Manifold. Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv, Quanhui Liu |
| 2022 | Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection. Ting Long, Yutong Xie, Xianyu Chen, Weinan Zhang, Qinxiang Cao, Yong Yu |
| 2022 | Multi-View Intent Disentangle Graph Networks for Bundle Recommendation. Sen Zhao, Wei Wei, Ding Zou, Xianling Mao |
| 2022 | Multilingual Code Snippets Training for Program Translation. Ming Zhu, Karthik Suresh, Chandan K. Reddy |
| 2022 | Multimodal Adversarially Learned Inference with Factorized Discriminators. Wenxue Chen, Jianke Zhu |
| 2022 | Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired Classifiers. Payam Karisani |
| 2022 | MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks. Nick Hoernle, Rafael-Michael Karampatsis, Vaishak Belle, Kobi Gal |
| 2022 | Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models. Changyu Chen, Avinandan Bose, Shih-Fen Cheng, Arunesh Sinha |
| 2022 | Mutual Contrastive Learning for Visual Representation Learning. Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu |
| 2022 | Mutual Nearest Neighbor Contrast and Hybrid Prototype Self-Training for Universal Domain Adaptation. Liang Chen, Qianjin Du, Yihang Lou, Jianzhong He, Tao Bai, Minghua Deng |
| 2022 | Mutual Understanding in Human-Machine Teaming. Rohan R. Paleja |
| 2022 | NAREOR: The Narrative Reordering Problem. Varun Gangal, Steven Y. Feng, Malihe Alikhani, Teruko Mitamura, Eduard H. Hovy |
| 2022 | NEUROCRYPT: Coercion-Resistant Implicit Memory Authentication (Student Abstract). Ritul Satish, Niranjan Rajesh, Argha Chakrabarty, Aditi Jain, Sristi Bafna, Arup Mondal, Debayan Gupta |
| 2022 | NICE: Robust Scheduling through Reinforcement Learning-Guided Integer Programming. Luke Kenworthy, Siddharth Nayak, Christopher Chin, Hamsa Balakrishnan |
| 2022 | NSGZero: Efficiently Learning Non-exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search. Wanqi Xue, Bo An, Chai Kiat Yeo |
| 2022 | Naming the Most Anomalous Cluster in Hilbert Space for Structures with Attribute Information. Janis Kalofolias, Jilles Vreeken |
| 2022 | Natural Black-Box Adversarial Examples against Deep Reinforcement Learning. Mengran Yu, Shiliang Sun |
| 2022 | NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency. Yujin Kim, Dogyun Park, Dohee Kim, Suhyun Kim |
| 2022 | Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding. Zhenzhi Wang, Limin Wang, Tao Wu, Tianhao Li, Gangshan Wu |
| 2022 | Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation. Shengsen Wu, Liang Chen, Yihang Lou, Yan Bai, Tao Bai, Minghua Deng, Ling-Yu Duan |
| 2022 | Neighborhood-Adaptive Structure Augmented Metric Learning. Pandeng Li, Yan Li, Hongtao Xie, Lei Zhang |
| 2022 | Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding. Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Sercan Ö. Arik, Tomas Pfister |
| 2022 | Neural Interferometry: Image Reconstruction from Astronomical Interferometers Using Transformer-Conditioned Neural Fields. Benjamin Wu, Chao Liu, Benjamin Eckart, Jan Kautz |
| 2022 | Neural Marionette: Unsupervised Learning of Motion Skeleton and Latent Dynamics from Volumetric Video. Jinseok Bae, Hojun Jang, Cheol-Hui Min, Hyungun Choi, Young Min Kim |
| 2022 | Neural Networks Classify through the Class-Wise Means of Their Representations. Mohamed El Amine Seddik, Mohamed Tamaazousti |
| 2022 | Neural Piecewise-Constant Delay Differential Equations. Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin |
| 2022 | NeuralArTS: Structuring Neural Architecture Search with Type Theory (Student Abstract). Robert Wu, Nayan Saxena, Rohan Jain |
| 2022 | Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks. Prithviraj Sen, Breno W. S. R. de Carvalho, Ryan Riegel, Alexander G. Gray |
| 2022 | New Results in Bounded-Suboptimal Search. Maximilian Fickert, Tianyi Gu, Wheeler Ruml |
| 2022 | Nice Perfume. How Long Did You Marinate in It? Multimodal Sarcasm Explanation. Poorav Desai, Tanmoy Chakraborty, Md. Shad Akhtar |
| 2022 | No Task Left Behind: Multi-Task Learning of Knowledge Tracing and Option Tracing for Better Student Assessment. Suyeong An, Junghoon Kim, Minsam Kim, Juneyoung Park |
| 2022 | Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels. Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie |
| 2022 | NoiseGrad - Enhancing Explanations by Introducing Stochasticity to Model Weights. Kirill Bykov, Anna Hedström, Shinichi Nakajima, Marina M.-C. Höhne |
| 2022 | Non-autoregressive Translation with Layer-Wise Prediction and Deep Supervision. Chenyang Huang, Hao Zhou, Osmar R. Zaïane, Lili Mou, Lei Li |
| 2022 | Non-parametric Online Learning from Human Feedback for Neural Machine Translation. Dongqi Wang, Haoran Wei, Zhirui Zhang, Shujian Huang, Jun Xie, Jiajun Chen |
| 2022 | Noninvasive Lung Cancer Early Detection via Deep Methylation Representation Learning. Xiangrui Cai, Jinsheng Tao, Shichao Wang, Zhiyu Wang, Jiaxian Wang, Mei Li, Hong Wang, Xixiang Tu, Hao Yang, Jian-Bing Fan, Hua Ji |
| 2022 | Not All Parameters Should Be Treated Equally: Deep Safe Semi-supervised Learning under Class Distribution Mismatch. Rundong He, Zhongyi Han, Yang Yang, Yilong Yin |
| 2022 | Not All Voxels Are Equal: Semantic Scene Completion from the Point-Voxel Perspective. Jiaxiang Tang, Xiaokang Chen, Jingbo Wang, Gang Zeng |
| 2022 | Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning. Jishnu Ray Chowdhury, Yong Zhuang, Shuyi Wang |
| 2022 | NukCP: An Improved Local Search Algorithm for Maximum k-Club Problem. Jiejiang Chen, Yiyuan Wang, Shaowei Cai, Minghao Yin, Yupeng Zhou, Jieyu Wu |
| 2022 | NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting. Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth |
| 2022 | Numerical Approximations of Log Gaussian Cox Process (Student Abstract). Francois Buet-Golfouse, Hans Roggeman |
| 2022 | OA-FSUI2IT: A Novel Few-Shot Cross Domain Object Detection Framework with Object-Aware Few-Shot Unsupervised Image-to-Image Translation. Lifan Zhao, Yunlong Meng, Lin Xu |
| 2022 | OAM: An Option-Action Reinforcement Learning Framework for Universal Multi-Intersection Control. Enming Liang, Zicheng Su, Chilin Fang, Renxin Zhong |
| 2022 | OVIS: Open-Vocabulary Visual Instance Search via Visual-Semantic Aligned Representation Learning. Sheng Liu, Kevin Lin, Lijuan Wang, Junsong Yuan, Zicheng Liu |
| 2022 | Obtaining Calibrated Probabilities with Personalized Ranking Models. Wonbin Kweon, SeongKu Kang, Hwanjo Yu |
| 2022 | OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression. Chunyang Fu, Ge Li, Rui Song, Wei Gao, Shan Liu |
| 2022 | Offline Reinforcement Learning as Anti-exploration. Shideh Rezaeifar, Robert Dadashi, Nino Vieillard, Léonard Hussenot, Olivier Bachem, Olivier Pietquin, Matthieu Geist |
| 2022 | On Causally Disentangled Representations. Abbavaram Gowtham Reddy, Benin Godfrey L, Vineeth N. Balasubramanian |
| 2022 | On Improving Resource Allocations by Sharing. Robert Bredereck, Andrzej Kaczmarczyk, Junjie Luo, Rolf Niedermeier, Florian Sachse |
| 2022 | On Optimizing Interventions in Shared Autonomy. Weihao Tan, David Koleczek, Siddhant Pradhan, Nicholas Perello, Vivek Chettiar, Vishal Rohra, Aaslesha Rajaram, Soundararajan Srinivasan, H. M. Sajjad Hossain, Yash Chandak |
| 2022 | On Paraconsistent Belief Revision in LP. Nicolas Schwind, Sébastien Konieczny, Ramón Pino Pérez |
| 2022 | On Probabilistic Generalization of Backdoors in Boolean Satisfiability. Alexander A. Semenov, Artem Pavlenko, Daniil Chivilikhin, Stepan Kochemazov |
| 2022 | On Semantic Cognition, Inductive Generalization, and Language Models. Kanishka Misra |
| 2022 | On Testing for Discrimination Using Causal Models. Hana Chockler, Joseph Y. Halpern |
| 2022 | On the Complexity of Inductively Learning Guarded Clauses. Andrei Draghici, Georg Gottlob, Matthias Lanzinger |
| 2022 | On the Computation of Necessary and Sufficient Explanations. Adnan Darwiche, Chunxi Ji |
| 2022 | On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals. Haizhou Shi, Youcai Zhang, Siliang Tang, Wenjie Zhu, Yaqian Li, Yandong Guo, Yueting Zhuang |
| 2022 | On the Fairness of Causal Algorithmic Recourse. Julius von Kügelgen, Amir-Hossein Karimi, Umang Bhatt, Isabel Valera, Adrian Weller, Bernhard Schölkopf |
| 2022 | On the Impact of Spurious Correlation for Out-of-Distribution Detection. Yifei Ming, Hang Yin, Yixuan Li |
| 2022 | On the Impossibility of Non-trivial Accuracy in Presence of Fairness Constraints. Carlos Pinzón, Catuscia Palamidessi, Pablo Piantanida, Frank Valencia |
| 2022 | On the Practical Robustness of the Nesterov's Accelerated Quasi-Newton Method. S. Indrapriyadarsini, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai |
| 2022 | On the Relation between Distributionally Robust Optimization and Data Curation (Student Abstract). Agnieszka Slowik, Léon Bottou, Sean B. Holden, Mateja Jamnik |
| 2022 | On the Transferability of Pre-trained Language Models: A Study from Artificial Datasets. David Cheng-Han Chiang, Hung-yi Lee |
| 2022 | On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations. Li-Chung Lin, Cheng-Hung Liu, Chih-Ming Chen, Kai-Chin Hsu, I-Feng Wu, Ming-Feng Tsai, Chih-Jen Lin |
| 2022 | One More Check: Making "Fake Background" Be Tracked Again. Chao Liang, Zhipeng Zhang, Xue Zhou, Bing Li, Weiming Hu |
| 2022 | One-Shot Talking Face Generation from Single-Speaker Audio-Visual Correlation Learning. Suzhen Wang, Lincheng Li, Yu Ding, Xin Yu |
| 2022 | OneRel: Joint Entity and Relation Extraction with One Module in One Step. Yuming Shang, Heyan Huang, Xianling Mao |
| 2022 | Online Apprenticeship Learning. Lior Shani, Tom Zahavy, Shie Mannor |
| 2022 | Online Certification of Preference-Based Fairness for Personalized Recommender Systems. Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier |
| 2022 | Online Elicitation of Necessarily Optimal Matchings. Jannik Peters |
| 2022 | Online Enhanced Semantic Hashing: Towards Effective and Efficient Retrieval for Streaming Multi-Modal Data. Xiao-Ming Wu, Xin Luo, Yu-Wei Zhan, Chenlu Ding, Zhen-Duo Chen, Xin-Shun Xu |
| 2022 | Online Influence Maximization with Node-Level Feedback Using Standard Offline Oracles. Zhijie Zhang, Wei Chen, Xiaoming Sun, Jialin Zhang |
| 2022 | Online Missing Value Imputation and Change Point Detection with the Gaussian Copula. Yuxuan Zhao, Eric Landgrebe, Eliot Shekhtman, Madeleine Udell |
| 2022 | Online Search with Best-Price and Query-Based Predictions. Spyros Angelopoulos, Shahin Kamali, Dehou Zhang |
| 2022 | Online Task Assignment Problems with Reusable Resources. Hanna Sumita, Shinji Ito, Kei Takemura, Daisuke Hatano, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi |
| 2022 | Online-Updated High-Order Collaborative Networks for Single Image Deraining. Cong Wang, Jinshan Pan, Xiao-Ming Wu |
| 2022 | OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression. Linfeng Cao, Aofan Jiang, Wei Li, Huaying Wu, Nanyang Ye |
| 2022 | Open Vocabulary Electroencephalography-to-Text Decoding and Zero-Shot Sentiment Classification. Zhenhailong Wang, Heng Ji |
| 2022 | Operator-Potential Heuristics for Symbolic Search. Daniel Fiser, Álvaro Torralba, Jörg Hoffmann |
| 2022 | Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction. Marc Rigter, Danial Dervovic, Parisa Hassanzadeh, Jason Long, Parisa Zehtabi, Daniele Magazzeni |
| 2022 | Optimal Local Explainer Aggregation for Interpretable Prediction. Qiaomei Li, Rachel Cummings, Yonatan Mintz |
| 2022 | Optimal Sampling Gaps for Adaptive Submodular Maximization. Shaojie Tang, Jing Yuan |
| 2022 | Optimal Tensor Transport. Tanguy Kerdoncuff, Rémi Emonet, Michaël Perrot, Marc Sebban |
| 2022 | Optimistic Initialization for Exploration in Continuous Control. Sam Lobel, Omer Gottesman, Cameron Allen, Akhil Bagaria, George Konidaris |
| 2022 | Optimization for Classical Machine Learning Problems on the GPU. Sören Laue, Mark Blacher, Joachim Giesen |
| 2022 | Optimize What You Evaluate With: Search Result Diversification Based on Metric Optimization. Hai-Tao Yu |
| 2022 | Optimized Potential Initialization for Low-Latency Spiking Neural Networks. Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang |
| 2022 | Optimizing Binary Decision Diagrams with MaxSAT for Classification. Hao Hu, Marie-José Huguet, Mohamed Siala |
| 2022 | Optimizing Global Influenza Surveillance for Locations with Deficient Data (Student Abstract). Songwei Shan, Qi Tan, Yiu Chung Lau, Zhanwei Du, Eric H. Y. Lau, Peng Wu, Benjamin J. Cowling |
| 2022 | Orthogonal Graph Neural Networks. Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang |
| 2022 | Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing. Bing Han, Cheng Wang, Kaushik Roy |
| 2022 | Out of Distribution Data Detection Using Dropout Bayesian Neural Networks. André T. Nguyen, Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt |
| 2022 | Outlier Detection in Wind Turbine Frequency Converters Using Long-Term Sensor Data. Nils Schwenzfeier, Markus Heikamp, Ole Meyer, Andre Hönnscheidt, Michael Steffes, Volker Gruhn |
| 2022 | PEA*+IDA*: An Improved Hybrid Memory-Restricted Algorithm. Frederico Messa, André Grahl Pereira |
| 2022 | PESTO: Switching Point Based Dynamic and Relative Positional Encoding for Code-Mixed Languages (Student Abstract). Mohsin Ali, Kandukuri Sai Teja, Sumanth Manduru, Parth Patwa, Amitava Das |
| 2022 | PMAL: Open Set Recognition via Robust Prototype Mining. Jing Lu, Yunlu Xu, Hao Li, Zhanzhan Cheng, Yi Niu |
| 2022 | PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection. Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer |
| 2022 | PUMA: Performance Unchanged Model Augmentation for Training Data Removal. Ga Wu, Masoud Hashemi, Christopher Srinivasa |
| 2022 | PYLON: A PyTorch Framework for Learning with Constraints. Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh |
| 2022 | P^3-Net: Part Mobility Parsing from Point Cloud Sequences via Learning Explicit Point Correspondence. Yahao Shi, Xinyu Cao, Feixiang Lu, Bin Zhou |
| 2022 | PageRank for Edges: Axiomatic Characterization. Natalia Kucharczuk, Tomasz Was, Oskar Skibski |
| 2022 | PaintTeR: Automatic Extraction of Text Spans for Generating Art-Centered Questions. Sujatha Das Gollapalli, See-Kiong Ng, Ying Kiat Tham, Shan Shan Chow, Jia Min Wong, Kevin Lim |
| 2022 | Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention. Sitong Wu, Tianyi Wu, Haoru Tan, Guodong Guo |
| 2022 | Pan-Sharpening with Customized Transformer and Invertible Neural Network. Man Zhou, Jie Huang, Yanchi Fang, Xueyang Fu, Aiping Liu |
| 2022 | Panini-Net: GAN Prior Based Degradation-Aware Feature Interpolation for Face Restoration. Yinhuai Wang, Yujie Hu, Jian Zhang |
| 2022 | PantheonRL: A MARL Library for Dynamic Training Interactions. Bidipta Sarkar, Aditi Talati, Andy Shih, Dorsa Sadigh |
| 2022 | Parallel and High-Fidelity Text-to-Lip Generation. Jinglin Liu, Zhiying Zhu, Yi Ren, Wencan Huang, Baoxing Huai, Nicholas Jing Yuan, Zhou Zhao |
| 2022 | Parameter Differentiation Based Multilingual Neural Machine Translation. Qian Wang, Jiajun Zhang |
| 2022 | Parameterized Approximation Algorithms for K-center Clustering and Variants. Sayan Bandyapadhyay, Zachary Friggstad, Ramin Mousavi |
| 2022 | Partial Multi-Label Learning via Large Margin Nearest Neighbour Embeddings. Xiuwen Gong, Dong Yuan, Wei Bao |
| 2022 | Partial Wasserstein Covering. Keisuke Kawano, Satoshi Koide, Keisuke Otaki |
| 2022 | Participatory Budgeting with Donations and Diversity Constraints. Jiehua Chen, Martin Lackner, Jan Maly |
| 2022 | Participatory Machine Learning Models in Feminicide News Alert Detection. Amelia Lee Dogan |
| 2022 | Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams. Erdem Biyik, Anusha Lalitha, Rajarshi Saha, Andrea Goldsmith, Dorsa Sadigh |
| 2022 | Patch Diffusion: A General Module for Face Manipulation Detection. Baogen Zhang, Sheng Li, Guorui Feng, Zhenxing Qian, Xinpeng Zhang |
| 2022 | PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks. Mojtaba Faramarzi, Mohammad Amini, Akilesh Badrinaaraayanan, Vikas Verma, Sarath Chandar |
| 2022 | Path-Specific Objectives for Safer Agent Incentives. Sebastian Farquhar, Ryan Carey, Tom Everitt |
| 2022 | Paving the Way for Novices: How to Teach AI for K-12 Education in China. Jiachen Song, Linan Zhang, Jinglei Yu, Yan Peng, Anyao Ma, Yu Lu |
| 2022 | Perceiving Stroke-Semantic Context: Hierarchical Contrastive Learning for Robust Scene Text Recognition. Hao Liu, Bin Wang, Zhimin Bao, Mobai Xue, Sheng Kang, Deqiang Jiang, Yinsong Liu, Bo Ren |
| 2022 | Perceptual Quality Assessment of Omnidirectional Images. Yuming Fang, Liping Huang, Jiebin Yan, Xuelin Liu, Yang Liu |
| 2022 | Personalized Public Policy Analysis in Social Sciences Using Causal-Graphical Normalizing Flows. Sourabh Balgi, José M. Peña, Adel Daoud |
| 2022 | PetsGAN: Rethinking Priors for Single Image Generation. Zicheng Zhang, Yinglu Liu, Congying Han, Hailin Shi, Tiande Guo, Bowen Zhou |
| 2022 | Picking Pearl from Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services. Amar Prakash Azad, Supriyo Ghosh, Ajay Gupta, Harshit Kumar, Prateeti Mohapatra, Lena Eckstein, Leonard Posner, Robert Kern |
| 2022 | Pinpointing Fine-Grained Relationships between Hateful Tweets and Replies. Abdullah Albanyan, Eduardo Blanco |
| 2022 | Pizza Sharing Is PPA-Hard. Argyrios Deligkas, John Fearnley, Themistoklis Melissourgos |
| 2022 | PlanVerb: Domain-Independent Verbalization and Summary of Task Plans. Gerard Canal, Senka Krivic, Paul Luff, Andrew Coles |
| 2022 | Planning to Avoid Side Effects. Toryn Q. Klassen, Sheila A. McIlraith, Christian Muise, Jarvis Xu |
| 2022 | Planning with Biological Neurons and Synapses. Francesco d'Amore, Daniel Mitropolsky, Pierluigi Crescenzi, Emanuele Natale, Christos H. Papadimitriou |
| 2022 | Planning with Explanations for Finding Desired Meeting Points on Graphs. Keisuke Otaki |
| 2022 | Planning with Participation Constraints. Hanrui Zhang, Yu Cheng, Vincent Conitzer |
| 2022 | Play the Shannon Game with Language Models: A Human-Free Approach to Summary Evaluation. Nicholas Egan, Oleg V. Vasilyev, John Bohannon |
| 2022 | Playing Lottery Tickets with Vision and Language. Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu, Lijuan Wang, Zicheng Liu |
| 2022 | PluGeN: Multi-Label Conditional Generation from Pre-trained Models. Maciej Wolczyk, Magdalena Proszewska, Lukasz Maziarka, Maciej Zieba, Patryk Wielopolski, Rafal Kurczab, Marek Smieja |
| 2022 | Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model. Jialian Li, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu |
| 2022 | Policy Optimization with Stochastic Mirror Descent. Long Yang, Yu Zhang, Gang Zheng, Qian Zheng, Pengfei Li, Jianhang Huang, Gang Pan |
| 2022 | Polygon-to-Polygon Distance Loss for Rotated Object Detection. Yang Yang, Jifeng Chen, Xiaopin Zhong, Yuanlong Deng |
| 2022 | PolygonE: Modeling N-ary Relational Data as Gyro-Polygons in Hyperbolic Space. Shiyao Yan, Zequn Zhang, Xian Sun, Guangluan Xu, Shuchao Li, Qing Liu, Nayu Liu, Shensi Wang |
| 2022 | Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction. Ta Ying Cheng, Hsuan-Ru Yang, Niki Trigoni, Hwann-Tzong Chen, Tyng-Luh Liu |
| 2022 | Pose Guided Image Generation from Misaligned Sources via Residual Flow Based Correction. Jiawei Lu, He Wang, Tianjia Shao, Yin Yang, Kun Zhou |
| 2022 | Pose-Guided Feature Disentangling for Occluded Person Re-identification Based on Transformer. Tao Wang, Hong Liu, Pinhao Song, Tianyu Guo, Wei Shi |
| 2022 | Pose-Invariant Face Recognition via Adaptive Angular Distillation. Zhenduo Zhang, Yongru Chen, Wenming Yang, Guijin Wang, Qingmin Liao |
| 2022 | Post-OCR Document Correction with Large Ensembles of Character Sequence-to-Sequence Models. Juan Antonio Ramirez-Orta, Eduardo Xamena, Ana Gabriela Maguitman, Evangelos E. Milios, Axel J. Soto |
| 2022 | PosterBot: A System for Generating Posters of Scientific Papers with Neural Models. Sheng Xu, Xiaojun Wan |
| 2022 | Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily. Tao Wang, Di Jin, Rui Wang, Dongxiao He, Yuxiao Huang |
| 2022 | Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling. Ran Tao, Han Zhang, Yutong Zheng, Marios Savvides |
| 2022 | PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model. Zhiyuan Wang, Xovee Xu, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fan Zhou |
| 2022 | Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs. Mingyu Guo, Jialiang Li, Aneta Neumann, Frank Neumann, Hung Nguyen |
| 2022 | Predicting Above-Sentence Discourse Structure Using Distant Supervision from Topic Segmentation. Patrick Huber, Linzi Xing, Giuseppe Carenini |
| 2022 | Predicting Physical World Destinations for Commands Given to Self-Driving Cars. Dusan Grujicic, Thierry Deruyttere, Marie-Francine Moens, Matthew B. Blaschko |
| 2022 | Predicting RNA Mutation Effects through Machine Learning of High-Throughput Ribozyme Experiments (Student Abstract). Joseph Kitzhaber, Ashlyn Trapp, James Beck, Edoardo Serra, Francesca Spezzano, Eric Hayden, Jessica Roberts |
| 2022 | Predicting the Influence of Fake and Real News Spreaders (Student Abstract). Amy Zhang, Aaron Brookhouse, Daniel Hammer, Francesca Spezzano, Liljana Babinkostova |
| 2022 | Predictive Maintenance for General Aviation Using Convolutional Transformers. Hong Yang, Aidan P. LaBella, Travis Desell |
| 2022 | Predictive Student Modelling in an Online Reading Platform. Effat Farhana, Teomara Rutherford, Collin F. Lynch |
| 2022 | Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks. Seungyong Moon, Gaon An, Hyun Oh Song |
| 2022 | Preparing High School Teachers to Integrate AI Methods into STEM Classrooms. Irene Lee, Beatriz Perret |
| 2022 | Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation. Xuan Gong, Abhishek Sharma, Srikrishna Karanam, Ziyan Wu, Terrence Chen, David S. Doermann, Arun Innanje |
| 2022 | Pretrained Cost Model for Distributed Constraint Optimization Problems. Yanchen Deng, Shufeng Kong, Bo An |
| 2022 | Prevailing in the Dark: Information Walls in Strategic Games. Pavel Naumov, Wenxuan Zhang |
| 2022 | Prior Gradient Mask Guided Pruning-Aware Fine-Tuning. Linhang Cai, Zhulin An, Chuanguang Yang, Yangchun Yan, Yongjun Xu |
| 2022 | Prior-Guided Transfer Learning for Enhancing Item Representation in E-commerce. Heng-Yi Li, Yabo Ni, Anxiang Zeng, Han Yu, Chunyan Miao |
| 2022 | Privacy-Preserving Face Recognition in the Frequency Domain. Yinggui Wang, Jian Liu, Man Luo, Le Yang, Li Wang |
| 2022 | Private Rank Aggregation in Central and Local Models. Daniel Alabi, Badih Ghazi, Ravi Kumar, Pasin Manurangsi |
| 2022 | PrivateMail: Supervised Manifold Learning of Deep Features with Privacy for Image Retrieval. Praneeth Vepakomma, Julia Balla, Ramesh Raskar |
| 2022 | PrivateSNN: Privacy-Preserving Spiking Neural Networks. Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda |
| 2022 | Probing Linguistic Information for Logical Inference in Pre-trained Language Models. Zeming Chen, Qiyue Gao |
| 2022 | Probing Word Syntactic Representations in the Brain by a Feature Elimination Method. Xiaohan Zhang, Shaonan Wang, Nan Lin, Jiajun Zhang, Chengqing Zong |
| 2022 | Procedural Text Understanding via Scene-Wise Evolution. Jialong Tang, Hongyu Lin, Meng Liao, Yaojie Lu, Xianpei Han, Le Sun, Weijian Xie, Jin Xu |
| 2022 | Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback. Junxiong Wang, Debabrota Basu, Immanuel Trummer |
| 2022 | Programmatic Modeling and Generation of Real-Time Strategic Soccer Environments for Reinforcement Learning. Abdus Salam Azad, Edward Kim, Qiancheng Wu, Kimin Lee, Ion Stoica, Pieter Abbeel, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia |
| 2022 | Programmatic Reward Design by Example. Weichao Zhou, Wenchao Li |
| 2022 | ProgressiveMotionSeg: Mutually Reinforced Framework for Event-Based Motion Segmentation. Jinze Chen, Yang Wang, Yang Cao, Feng Wu, Zheng-Jun Zha |
| 2022 | Promoting Single-Modal Optical Flow Network for Diverse Cross-Modal Flow Estimation. Shili Zhou, Weimin Tan, Bo Yan |
| 2022 | Proof of Learning: Towards a Practical Blockchain Consensus Mechanism Using Directed Guiding Gradients (Student Abstract). Yongqi Wu, Xingjun Wang, Chen Chen, Guining Liu |
| 2022 | Proportional Public Decisions. Piotr Skowron, Adrian Górecki |
| 2022 | Propositional Encodings of Acyclicity and Reachability by Using Vertex Elimination. Masood Feyzbakhsh Rankooh, Jussi Rintanen |
| 2022 | ProtGNN: Towards Self-Explaining Graph Neural Networks. Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee |
| 2022 | Protecting Intellectual Property of Language Generation APIs with Lexical Watermark. Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, Chenguang Wang |
| 2022 | Prototype-Based Explanations for Graph Neural Networks (Student Abstract). Yong-Min Shin, Sun-Woo Kim, Eun-Bi Yoon, Won-Yong Shin |
| 2022 | Provable Guarantees for Understanding Out-of-Distribution Detection. Peyman Morteza, Yixuan Li |
| 2022 | Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay. Jack Heavey, Jiaming Cui, Chen Chen, B. Aditya Prakash, Anil Vullikanti |
| 2022 | Proximal PanNet: A Model-Based Deep Network for Pansharpening. Xiangyong Cao, Yang Chen, Wenfei Cao |
| 2022 | Proxy Learning of Visual Concepts of Fine Art Paintings from Styles through Language Models. Diana Kim, Ahmed Elgammal, Marian Mazzone |
| 2022 | Prune and Tune Ensembles: Low-Cost Ensemble Learning with Sparse Independent Subnetworks. Tim Whitaker, Darrell Whitley |
| 2022 | PureGaze: Purifying Gaze Feature for Generalizable Gaze Estimation. Yihua Cheng, Yiwei Bao, Feng Lu |
| 2022 | Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability. Kyle Richardson, Ashish Sabharwal |
| 2022 | Q-Ball: Modeling Basketball Games Using Deep Reinforcement Learning. Chen Yanai, Adir Solomon, Gilad Katz, Bracha Shapira, Lior Rokach |
| 2022 | QUILT: Effective Multi-Class Classification on Quantum Computers Using an Ensemble of Diverse Quantum Classifiers. Daniel Silver, Tirthak Patel, Devesh Tiwari |
| 2022 | Qubit Routing Using Graph Neural Network Aided Monte Carlo Tree Search. Animesh Sinha, Utkarsh Azad, Harjinder Singh |
| 2022 | QueryProp: Object Query Propagation for High-Performance Video Object Detection. Fei He, Naiyu Gao, Jian Jia, Xin Zhao, Kaiqi Huang |
| 2022 | REMOTE: Reinforced Motion Transformation Network for Semi-supervised 2D Pose Estimation in Videos. Xianzheng Ma, Hossein Rahmani, Zhipeng Fan, Bin Yang, Jun Chen, Jun Liu |
| 2022 | RES: An Interpretable Replicability Estimation System for Research Publications. Zhuoer Wang, Qizhang Feng, Mohinish Chatterjee, Xing Zhao, Yezi Liu, Yuening Li, Abhay Kumar Singh, Frank M. Shipman III, Xia Hu, James Caverlee |
| 2022 | RID-Noise: Towards Robust Inverse Design under Noisy Environments. Jia-Qi Yang, Ke-Bin Fan, Hao Ma, De-Chuan Zhan |
| 2022 | RRL: Regional Rotate Layer in Convolutional Neural Networks. Zongbo Hao, Tao Zhang, Mingwang Chen, Kaixu Zhou |
| 2022 | Random Mapping Method for Large-Scale Terrain Modeling. Xu Liu, Decai Li, Yuqing He |
| 2022 | Random Tensor Theory for Tensor Decomposition. Mohamed Ouerfelli, Mohamed Tamaazousti, Vincent Rivasseau |
| 2022 | Random vs. Best-First: Impact of Sampling Strategies on Decision Making in Model-Based Diagnosis. Patrick Rodler |
| 2022 | Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives. David T. Hoffmann, Nadine Behrmann, Juergen Gall, Thomas Brox, Mehdi Noroozi |
| 2022 | RareGAN: Generating Samples for Rare Classes. Zinan Lin, Hao Liang, Giulia Fanti, Vyas Sekar |
| 2022 | ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising. Liuyu Xiang, Jundong Zhou, Jirui Liu, Zerun Wang, Haidong Huang, Jie Hu, Jungong Han, Yuchen Guo, Guiguang Ding |
| 2022 | ReX: An Efficient Approach to Reducing Memory Cost in Image Classification. Xuwei Qian, Renlong Hang, Qingshan Liu |
| 2022 | Real-Time Driver-Request Assignment in Ridesourcing. Hao Wang, Xiaohui Bei |
| 2022 | Reasoning about Causal Models with Infinitely Many Variables. Joseph Y. Halpern, Spencer Peters |
| 2022 | Reconfiguring Shortest Paths in Graphs. Kshitij Gajjar, Agastya Vibhuti Jha, Manish Kumar, Abhiruk Lahiri |
| 2022 | Recovering the Propensity Score from Biased Positive Unlabeled Data. Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner |
| 2022 | Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems. Fangda Gu, He Yin, Laurent El Ghaoui, Murat Arcak, Peter J. Seiler, Ming Jin |
| 2022 | Recursive Reasoning Graph for Multi-Agent Reinforcement Learning. Xiaobai Ma, David Isele, Jayesh K. Gupta, Kikuo Fujimura, Mykel J. Kochenderfer |
| 2022 | Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay (Student Abstract). Hitesh Vaidya, Travis Desell, Alexander G. Ororbia II |
| 2022 | Reducing Energy Consumption of Pressure Sensor Calibration Using Polynomial HyperNetworks with Fourier Features. Muhammad Sarmad, Mishal Fatima, Jawad Tayyub |
| 2022 | Reducing Flipping Errors in Deep Neural Networks. Xiang Deng, Yun Xiao, Bo Long, Zhongfei Zhang |
| 2022 | Reference-Based Speech Enhancement via Feature Alignment and Fusion Network. Huanjing Yue, Wenxin Duo, Xiulian Peng, Jingyu Yang |
| 2022 | Reference-Guided Pseudo-Label Generation for Medical Semantic Segmentation. Constantin Marc Seibold, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen |
| 2022 | ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery. Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, Xiaoxiang Zhu |
| 2022 | Reforming an Envy-Free Matching. Takehiro Ito, Yuni Iwamasa, Naonori Kakimura, Naoyuki Kamiyama, Yusuke Kobayashi, Yuta Nozaki, Yoshio Okamoto, Kenta Ozeki |
| 2022 | Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability. Aviv Tamar, Daniel Soudry, Ev Zisselman |
| 2022 | Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He |
| 2022 | Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment. Tieliang Gong, Yuxin Dong, Hong Chen, Wei Feng, Bo Dong, Chen Li |
| 2022 | Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement. Yichao Du, Zhirui Zhang, Weizhi Wang, Boxing Chen, Jun Xie, Tong Xu |
| 2022 | Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations. Deyu Bo, Binbin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou |
| 2022 | Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits. Guojun Xiong, Jian Li, Rahul Singh |
| 2022 | Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting. Yuwei Fu, Di Wu, Benoit Boulet |
| 2022 | Reinforcement Learning Explainability via Model Transforms (Student Abstract). Mira Finkelstein, Lucy Liu, Yoav Kolumbus, David C. Parkes, Jeffrey S. Rosenshein, Sarah Keren |
| 2022 | Reinforcement Learning for Datacenter Congestion Control. Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor |
| 2022 | Reinforcement Learning of Causal Variables Using Mediation Analysis. Tue Herlau, Rasmus Larsen |
| 2022 | Reinforcement Learning with Stochastic Reward Machines. Jan Corazza, Ivan Gavran, Daniel Neider |
| 2022 | Reliability Exploration with Self-Ensemble Learning for Domain Adaptive Person Re-identification. Zongyi Li, Yuxuan Shi, Hefei Ling, Jiazhong Chen, Qian Wang, Fengfan Zhou |
| 2022 | Reliable Inlier Evaluation for Unsupervised Point Cloud Registration. Yaqi Shen, Le Hui, Haobo Jiang, Jin Xie, Jian Yang |
| 2022 | Reliable Propagation-Correction Modulation for Video Object Segmentation. Xiaohao Xu, Jinglu Wang, Xiao Li, Yan Lu |
| 2022 | Rendering-Aware HDR Environment Map Prediction from a Single Image. Jun-Peng Xu, Chenyu Zuo, Fang-Lue Zhang, Miao Wang |
| 2022 | Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation. Hualiang Wang, Huanpeng Chu, Siming Fu, Zuozhu Liu, Haoji Hu |
| 2022 | RepBin: Constraint-Based Graph Representation Learning for Metagenomic Binning. Hansheng Xue, Vijini Mallawaarachchi, Yujia Zhang, Vaibhav Rajan, Yu Lin |
| 2022 | Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence. Ana Lucic, Maurits J. R. Bleeker, Sami Jullien, Samarth Bhargav, Maarten de Rijke |
| 2022 | Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery. Hao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan |
| 2022 | Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation. Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du |
| 2022 | Resolving Inconsistencies in Simple Temporal Problems: A Parameterized Approach. Konrad K. Dabrowski, Peter Jonsson, Sebastian Ordyniak, George Osipov |
| 2022 | Restorable Image Operators with Quasi-Invertible Networks. Hao Ouyang, Tengfei Wang, Qifeng Chen |
| 2022 | RetGen: A Joint Framework for Retrieval and Grounded Text Generation Modeling. Yizhe Zhang, Siqi Sun, Xiang Gao, Yuwei Fang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan |
| 2022 | Rethinking Influence Functions of Neural Networks in the Over-Parameterized Regime. Rui Zhang, Shihua Zhang |
| 2022 | Rethinking Pseudo Labels for Semi-supervised Object Detection. Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis |
| 2022 | Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones Is Enough. Zhuo Li, Weiqing Min, Jiajun Song, Yaohui Zhu, Liping Kang, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang |
| 2022 | Rethinking the Two-Stage Framework for Grounded Situation Recognition. Meng Wei, Long Chen, Wei Ji, Xiaoyu Yue, Tat-Seng Chua |
| 2022 | Retinomorphic Object Detection in Asynchronous Visual Streams. Jianing Li, Xiao Wang, Lin Zhu, Jia Li, Tiejun Huang, Yonghong Tian |
| 2022 | Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models. Steven Y. Feng, Kevin Lu, Zhuofu Tao, Malihe Alikhani, Teruko Mitamura, Eduard H. Hovy, Varun Gangal |
| 2022 | Reverse Differentiation via Predictive Coding. Tommaso Salvatori, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, Rafal Bogacz |
| 2022 | Reward-Weighted Regression Converges to a Global Optimum. Miroslav Strupl, Francesco Faccio, Dylan R. Ashley, Rupesh Kumar Srivastava, Jürgen Schmidhuber |
| 2022 | Risk-Aware Stochastic Shortest Path. Tobias Meggendorfer |
| 2022 | Robust Action Gap Increasing with Clipped Advantage Learning. Zhe Zhang, Yaozhong Gan, Xiaoyang Tan |
| 2022 | Robust Adversarial Reinforcement Learning with Dissipation Inequation Constraint. Peng Zhai, Jie Luo, Zhiyan Dong, Lihua Zhang, Shunli Wang, Dingkang Yang |
| 2022 | Robust Depth Completion with Uncertainty-Driven Loss Functions. Yufan Zhu, Weisheng Dong, Leida Li, Jinjian Wu, Xin Li, Guangming Shi |
| 2022 | Robust Graph-Based Multi-View Clustering. Weixuan Liang, Xinwang Liu, Sihang Zhou, Jiyuan Liu, Siwei Wang, En Zhu |
| 2022 | Robust Heterogeneous Graph Neural Networks against Adversarial Attacks. Mengmei Zhang, Xiao Wang, Meiqi Zhu, Chuan Shi, Zhiqiang Zhang, Jun Zhou |
| 2022 | Robust Optimal Classification Trees against Adversarial Examples. Daniël Vos, Sicco Verwer |
| 2022 | Robust Rule Learning for Reliable and Interpretable Insight into Expertise Transfer Opportunities. Willa Potosnak |
| 2022 | Robust Tests in Online Decision-Making. Gi-Soo Kim, Jane P. Kim, Hyun-Joon Yang |
| 2022 | Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay. Kuluhan Binici, Shivam Aggarwal, Nam Trung Pham, Karianto Leman, Tulika Mitra |
| 2022 | Robustification of Online Graph Exploration Methods. Franziska Eberle, Alexander Lindermayr, Nicole Megow, Lukas Nölke, Jens Schlöter |
| 2022 | Role of Human-AI Interaction in Selective Prediction. Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham |
| 2022 | Rushing and Strolling among Answer Sets - Navigation Made Easy. Johannes Klaus Fichte, Sarah Alice Gaggl, Dominik Rusovac |
| 2022 | SAIL: Self-Augmented Graph Contrastive Learning. Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang |
| 2022 | SAS: Self-Augmentation Strategy for Language Model Pre-training. Yifei Xu, Jingqiao Zhang, Ru He, Liangzhu Ge, Chao Yang, Cheng Yang, Ying Nian Wu |
| 2022 | SASA: Semantics-Augmented Set Abstraction for Point-Based 3D Object Detection. Chen Chen, Zhe Chen, Jing Zhang, Dacheng Tao |
| 2022 | SCALoss: Side and Corner Aligned Loss for Bounding Box Regression. Tu Zheng, Shuai Zhao, Yang Liu, Zili Liu, Deng Cai |
| 2022 | SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation. Wuyang Li, Xinyu Liu, Xiwen Yao, Yixuan Yuan |
| 2022 | SCIR-Net: Structured Color Image Representation Based 3D Object Detection Network from Point Clouds. Qingdong He, Hao Zeng, Yi Zeng, Yijun Liu |
| 2022 | SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models. Zhen Lin, Lucas Glass, M. Brandon Westover, Cao Xiao, Jimeng Sun |
| 2022 | SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-resolution. Jiangning Zhang, Chao Xu, Jian Li, Yue Han, Yabiao Wang, Ying Tai, Yong Liu |
| 2022 | SCTN: Sparse Convolution-Transformer Network for Scene Flow Estimation. Bing Li, Cheng Zheng, Silvio Giancola, Bernard Ghanem |
| 2022 | SECRET: Self-Consistent Pseudo Label Refinement for Unsupervised Domain Adaptive Person Re-identification. Tao He, Leqi Shen, Yuchen Guo, Guiguang Ding, Zhenhua Guo |
| 2022 | SFSRNet: Super-resolution for Single-Channel Audio Source Separation. Joel Rixen, Matthias Renz |
| 2022 | SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems. Harrison Lee, Raghav Gupta, Abhinav Rastogi, Yuan Cao, Bin Zhang, Yonghui Wu |
| 2022 | SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning. Zhecan Wang, Haoxuan You, Liunian Harold Li, Alireza Zareian, Suji Park, Yiqing Liang, Kai-Wei Chang, Shih-Fu Chang |
| 2022 | SJDL-Vehicle: Semi-supervised Joint Defogging Learning for Foggy Vehicle Re-identification. Wei-Ting Chen, I-Hsiang Chen, Chih-Yuan Yeh, Hao-Hsiang Yang, Jian-Jiun Ding, Sy-Yen Kuo |
| 2022 | SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation. Wanjie Tao, Yu Li, Liangyue Li, Zulong Chen, Hong Wen, Peilin Chen, Tingting Liang, Quan Lu |
| 2022 | SOIT: Segmenting Objects with Instance-Aware Transformers. Xiaodong Yu, Dahu Shi, Xing Wei, Ye Ren, Tingqun Ye, Wenming Tan |
| 2022 | SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss. Konstantin Klemmer, Tianlin Xu, Beatrice Acciaio, Daniel B. Neill |
| 2022 | SSAST: Self-Supervised Audio Spectrogram Transformer. Yuan Gong, Cheng-I Lai, Yu-An Chung, James R. Glass |
| 2022 | SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal. Zhaoyang Sun, Yaxiong Chen, Shengwu Xiong |
| 2022 | STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction. Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jiawei Jiang, Hu Zhang |
| 2022 | STEM: Unsupervised STructural EMbedding for Stance Detection. Ron Korenblum Pick, Vladyslav Kozhukhov, Dan Vilenchik, Oren Tsur |
| 2022 | STEPS: Semantic Typing of Event Processes with a Sequence-to-Sequence Approach. Sveva Pepe, Edoardo Barba, Rexhina Blloshmi, Roberto Navigli |
| 2022 | SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds. Qingdong He, Zhengning Wang, Hao Zeng, Yi Zeng, Yijun Liu |
| 2022 | SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition. Zhaoxin Fan, Zhenbo Song, Hongyan Liu, Zhiwu Lu, Jun He, Xiaoyong Du |
| 2022 | SWWS: A Smart Wildlife Warning Sign System. Alan Ma |
| 2022 | Safe Distillation Box. Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song |
| 2022 | Safe Online Convex Optimization with Unknown Linear Safety Constraints. Sapana Chaudhary, Dileep M. Kalathil |
| 2022 | Safe Subgame Resolving for Extensive Form Correlated Equilibrium. Chun Kai Ling, Fei Fang |
| 2022 | Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang |
| 2022 | Same State, Different Task: Continual Reinforcement Learning without Interference. Samuel Kessler, Jack Parker-Holder, Philip J. Ball, Stefan Zohren, Stephen J. Roberts |
| 2022 | Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability. Yafei Wang, Bo Pan, Wei Tu, Peng Liu, Bei Jiang, Chao Gao, Wei Lu, Shangling Jui, Linglong Kong |
| 2022 | Sample-Efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs. Siow Meng Low, Akshat Kumar, Scott Sanner |
| 2022 | Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic. Zhihai Wang, Jie Wang, Qi Zhou, Bin Li, Houqiang Li |
| 2022 | Sampling and Counting Acyclic Orientations in Chordal Graphs (Student Abstract). Wenbo Sun |
| 2022 | Sampling-Based Robust Control of Autonomous Systems with Non-Gaussian Noise. Thom S. Badings, Alessandro Abate, Nils Jansen, David Parker, Hasan A. Poonawala, Mariëlle Stoelinga |
| 2022 | Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification. Anshuka Rangi, Long Tran-Thanh, Haifeng Xu, Massimo Franceschetti |
| 2022 | Scaled ReLU Matters for Training Vision Transformers. Pichao Wang, Xue Wang, Hao Luo, Jingkai Zhou, Zhipeng Zhou, Fan Wang, Hao Li, Rong Jin |
| 2022 | Scaling Neural Program Synthesis with Distribution-Based Search. Nathanaël Fijalkow, Guillaume Lagarde, Théo Matricon, Kevin Ellis, Pierre Ohlmann, Akarsh Nayan Potta |
| 2022 | Scaling Up Influence Functions. Andrea Schioppa, Polina Zablotskaia, David Vilar, Artem Sokolov |
| 2022 | Search Strategies for Topological Network Optimization. Michael D. Moffitt |
| 2022 | Search and Learn: Improving Semantic Coverage for Data-to-Text Generation. Shailza Jolly, Zi Xuan Zhang, Andreas Dengel, Lili Mou |
| 2022 | Secretary Matching with Vertex Arrivals and No Rejections. Mohak Goyal |
| 2022 | Seizing Critical Learning Periods in Federated Learning. Gang Yan, Hao Wang, Jian Li |
| 2022 | Selecting Optimal Context Sentences for Event-Event Relation Extraction. Hieu Man, Nghia Trung Ngo, Linh Ngo Van, Thien Huu Nguyen |
| 2022 | Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations. Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou |
| 2022 | Self-Labeling Framework for Novel Category Discovery over Domains. Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa |
| 2022 | Self-Supervised Audio-and-Text Pre-training with Extremely Low-Resource Parallel Data. Yu Kang, Tianqiao Liu, Hang Li, Yang Hao, Wenbiao Ding |
| 2022 | Self-Supervised Category-Level 6D Object Pose Estimation with Deep Implicit Shape Representation. Wanli Peng, Jianhang Yan, Hongtao Wen, Yi Sun |
| 2022 | Self-Supervised Enhancement of Latent Discovery in GANs. Adarsh Kappiyath, Silpa Vadakkeeveetil Sreelatha, S. Sumitra |
| 2022 | Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing. Liang Yang, Cheng Chen, Weixun Li, Bingxin Niu, Junhua Gu, Chuan Wang, Dongxiao He, Yuanfang Guo, Xiaochun Cao |
| 2022 | Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer. Wenda Xu, Michael Saxon, Misha Sra, William Yang Wang |
| 2022 | Self-Supervised Object Localization with Joint Graph Partition. Yukun Su, Guosheng Lin, Yun Hao, Yiwen Cao, Wenjun Wang, Qingyao Wu |
| 2022 | Self-Supervised Pre-training for Protein Embeddings Using Tertiary Structures. Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Junzhou Huang |
| 2022 | Self-Supervised Pretraining for RGB-D Salient Object Detection. Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Xiang Ruan |
| 2022 | Self-Supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss. Hao Wang, Euijoon Ahn, Jinman Kim |
| 2022 | Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions. Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan |
| 2022 | Self-Supervised Spatiotemporal Representation Learning by Exploiting Video Continuity. Hanwen Liang, Niamul Quader, Zhixiang Chi, Lizhe Chen, Peng Dai, Juwei Lu, Yang Wang |
| 2022 | Self-Training Multi-Sequence Learning with Transformer for Weakly Supervised Video Anomaly Detection. Shuo Li, Fang Liu, Licheng Jiao |
| 2022 | Semantic Feature Discovery with Code Mining and Semantic Type Detection. Kavitha Srinivas, Takaaki Tateishi, Daniel Karl I. Weidele, Udayan Khurana, Horst Samulowitz, Toshihiro Takahashi, Dakuo Wang, Lisa Amini |
| 2022 | Semantic Feature Extraction for Generalized Zero-Shot Learning. Junhan Kim, Kyuhong Shim, Byonghyo Shim |
| 2022 | Semantic Parsing in Task-Oriented Dialog with Recursive Insertion-Based Encoder. Elman Mansimov, Yi Zhang |
| 2022 | Semantic Self-Segmentation for Abstractive Summarization of Long Documents in Low-Resource Regimes. Gianluca Moro, Luca Ragazzi |
| 2022 | Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels. Tao Pu, Tianshui Chen, Hefeng Wu, Liang Lin |
| 2022 | Semantically Contrastive Learning for Low-Light Image Enhancement. Dong Liang, Ling Li, Mingqiang Wei, Shuo Yang, Liyan Zhang, Wenhan Yang, Yun Du, Huiyu Zhou |
| 2022 | Semi-supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation. Olivier Graffeuille, Yun Sing Koh, Jörg Wicker, Moritz K. Lehmann |
| 2022 | Semi-supervised Learning with Multi-Head Co-Training. Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang |
| 2022 | Semi-supervised Object Detection with Adaptive Class-Rebalancing Self-Training. Fangyuan Zhang, Tianxiang Pan, Bin Wang |
| 2022 | SenSE: A Toolkit for Semantic Change Exploration via Word Embedding Alignment. Maurício Gruppi, Sibel Adali, Pin-Yu Chen |
| 2022 | SenTag: A Web-Based Tool for Semantic Annotation of Textual Documents. Andrea Loreggia, Simone Mosco, Alberto Zerbinati |
| 2022 | Sentence Simplification Capabilities of Transfer-Based Models. Sanja Stajner, Kim Cheng Sheang, Horacio Saggion |
| 2022 | Sentiment and Emotion-Aware Multi-Modal Complaint Identification. Apoorva Singh, Soumyodeep Dey, Anamitra Singha, Sriparna Saha |
| 2022 | SepFusion: Finding Optimal Fusion Structures for Visual Sound Separation. Dongzhan Zhou, Xinchi Zhou, Di Hu, Hang Zhou, Lei Bai, Ziwei Liu, Wanli Ouyang |
| 2022 | Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation. Jiacheng Wang, Xiaomeng Li, Yiming Han, Jing Qin, Liansheng Wang, Qichao Zhou |
| 2022 | Seq2Pat: Sequence-to-Pattern Generation for Constraint-Based Sequential Pattern Mining. Xin Wang, Amin Hosseininasab, Pablo Colunga, Serdar Kadioglu, Willem-Jan van Hoeve |
| 2022 | Sequence Level Contrastive Learning for Text Summarization. Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei |
| 2022 | Sequence-to-Action: Grammatical Error Correction with Action Guided Sequence Generation. Jiquan Li, Junliang Guo, Yongxin Zhu, Xin Sheng, Deqiang Jiang, Bo Ren, Linli Xu |
| 2022 | Sequential Blocked Matching. Nicholas Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh |
| 2022 | Shadow Generation for Composite Image in Real-World Scenes. Yan Hong, Li Niu, Jianfu Zhang |
| 2022 | Shape Prior Guided Attack: Sparser Perturbations on 3D Point Clouds. Zhenbo Shi, Zhi Chen, Zhenbo Xu, Wei Yang, Zhidong Yu, Liusheng Huang |
| 2022 | Shape-Adaptive Selection and Measurement for Oriented Object Detection. Liping Hou, Ke Lu, Jian Xue, Yuqiu Li |
| 2022 | Shaping Noise for Robust Attributions in Neural Stochastic Differential Equations. Sumit Kumar Jha, Rickard Ewetz, Alvaro Velasquez, Arvind Ramanathan, Susmit Jha |
| 2022 | Shard Systems: Scalable, Robust and Persistent Multi-Agent Path Finding with Performance Guarantees. Christopher Leet, Jiaoyang Li, Sven Koenig |
| 2022 | Sharp Analysis of Random Fourier Features in Classification. Zhu Li |
| 2022 | Sharp Restricted Isometry Property Bounds for Low-Rank Matrix Recovery Problems with Corrupted Measurements. Ziye Ma, Yingjie Bi, Javad Lavaei, Somayeh Sojoudi |
| 2022 | Show Your Faith: Cross-Modal Confidence-Aware Network for Image-Text Matching. Huatian Zhang, Zhendong Mao, Kun Zhang, Yongdong Zhang |
| 2022 | Shrinking Temporal Attention in Transformers for Video Action Recognition. Bonan Li, Pengfei Xiong, Congying Han, Tiande Guo |
| 2022 | Shrub Ensembles for Online Classification. Sebastian Buschjäger, Sibylle Hess, Katharina Morik |
| 2022 | ShuttleNet: Position-Aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton. Wei-Yao Wang, Hong-Han Shuai, Kai-Shiang Chang, Wen-Chih Peng |
| 2022 | SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-trained Siamese Transformers. Lin Liu, Shanxin Yuan, Jianzhuang Liu, Xin Guo, Youliang Yan, Qi Tian |
| 2022 | Siamese BERT-Based Model for Web Search Relevance Ranking Evaluated on a New Czech Dataset. Matej Kocián, Jakub Náplava, Daniel Stancl, Vladimír Kadlec |
| 2022 | Siamese Network with Interactive Transformer for Video Object Segmentation. Meng Lan, Jing Zhang, Fengxiang He, Lefei Zhang |
| 2022 | Signaling in Posted Price Auctions. Matteo Castiglioni, Giulia Romano, Alberto Marchesi, Nicola Gatti |
| 2022 | Silence or Outbreak - a Real-Time Emergent Topic Identification System (RealTIS) for Social Media. Ning Lu, Zhen Yang, Jian Huang, Yaxi Wu, Hesong Wang |
| 2022 | Sim2Real Object-Centric Keypoint Detection and Description. Chengliang Zhong, Chao Yang, Fuchun Sun, Jinshan Qi, Xiaodong Mu, Huaping Liu, Wenbing Huang |
| 2022 | SimCTC: A Simple Contrast Learning Method of Text Clustering (Student Abstract). Chen Li, Xiaoguang Yu, Shuangyong Song, Jia Wang, Bo Zou, Xiaodong He |
| 2022 | SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations. Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao |
| 2022 | SimSR: Simple Distance-Based State Representations for Deep Reinforcement Learning. Hongyu Zang, Xin Li, Mingzhong Wang |
| 2022 | Similarity Search for Efficient Active Learning and Search of Rare Concepts. Cody Coleman, Edward Chou, Julian Katz-Samuels, Sean Culatana, Peter Bailis, Alexander C. Berg, Robert D. Nowak, Roshan Sumbaly, Matei Zaharia, I. Zeki Yalniz |
| 2022 | Simple Unsupervised Graph Representation Learning. Yujie Mo, Liang Peng, Jie Xu, Xiaoshuang Shi, Xiaofeng Zhu |
| 2022 | Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model. Cheng Chen, Canzhe Zhao, Shuai Li |
| 2022 | Single-Agent Dynamics in Additively Separable Hedonic Games. Felix Brandt, Martin Bullinger, Leo Tappe |
| 2022 | Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape Dictionary. Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng |
| 2022 | Smart Out-of-Home Advertising Using Artificial Intelligence and GIS Data. Nader Nader, Rafael Alexandrou, Iasonas Iasonos, Andreas Pamboris, Harris Papadopoulos, Andreas Konstantinidis |
| 2022 | SmartIdx: Reducing Communication Cost in Federated Learning by Exploiting the CNNs Structures. Donglei Wu, Xiangyu Zou, Shuyu Zhang, Haoyu Jin, Wen Xia, Binxing Fang |
| 2022 | Smartphone-Based Game Development to Introduce K12 Students in Applied Artificial Intelligence. Sara Guerreiro-Santalla, Alma Mallo, Tamara Baamonde, Francisco Bellas |
| 2022 | Smoothing Advantage Learning. Yaozhong Gan, Zhe Zhang, Xiaoyang Tan |
| 2022 | Social Aware Assignment of Passengers in Ridesharing (Student Abstract). Chaya Levinger, Noam Hazon, Amos Azaria |
| 2022 | Social Interpretable Tree for Pedestrian Trajectory Prediction. Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Fang Zheng, Nanning Zheng, Gang Hua |
| 2022 | Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization. Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin |
| 2022 | Socially Intelligent Affective AI. Aarti Malhotra |
| 2022 | Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability Using Tree Search and Graph Neural Networks. Kevin Osanlou, Jeremy Frank, Andrei Bursuc, Tristan Cazenave, Eric Jacopin, Christophe Guettier, J. Benton |
| 2022 | Solving PDE-Constrained Control Problems Using Operator Learning. Rakhoon Hwang, Jae Yong Lee, Jinyoung Shin, Hyung Ju Hwang |
| 2022 | Solving Visual Analogies Using Neural Algorithmic Reasoning (Student Abstract). Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash |
| 2022 | Span-Based Semantic Role Labeling with Argument Pruning and Second-Order Inference. Zixia Jia, Zhaohui Yan, Haoyi Wu, Kewei Tu |
| 2022 | Sparse Cross-Scale Attention Network for Efficient LiDAR Panoptic Segmentation. Shuangjie Xu, Rui Wan, Maosheng Ye, Xiaoyi Zou, Tongyi Cao |
| 2022 | Sparse MLP for Image Recognition: Is Self-Attention Really Necessary? Chuanxin Tang, Yucheng Zhao, Guangting Wang, Chong Luo, Wenxuan Xie, Wenjun Zeng |
| 2022 | Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification. Yinhua Piao, Sangseon Lee, Dohoon Lee, Sun Kim |
| 2022 | Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks. Francesco Croce, Maksym Andriushchenko, Naman D. Singh, Nicolas Flammarion, Matthias Hein |
| 2022 | Sparsification of Decomposable Submodular Functions. Akbar Rafiey, Yuichi Yoshida |
| 2022 | Spatial Frequency Bias in Convolutional Generative Adversarial Networks. Mahyar Khayatkhoei, Ahmed Elgammal |
| 2022 | Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation. Ziluo Ding, Rui Zhao, Jiyuan Zhang, Tianxiao Gao, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang |
| 2022 | Spectral DefocusCam: Compressive Hyperspectral Imaging from Defocus Measurements. Georgia Channing |
| 2022 | Speeding Up the RUL¯ Dynamic-Controllability-Checking Algorithm for Simple Temporal Networks with Uncertainty. Luke Hunsberger, Roberto Posenato |
| 2022 | SpikeConverter: An Efficient Conversion Framework Zipping the Gap between Artificial Neural Networks and Spiking Neural Networks. Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Li Jiang |
| 2022 | Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning. Wachirawit Ponghiran, Kaushik Roy |
| 2022 | Spline-PINN: Approaching PDEs without Data Using Fast, Physics-Informed Hermite-Spline CNNs. Nils Wandel, Michael Weinmann, Michael Neidlin, Reinhard Klein |
| 2022 | Split Moves for Monte-Carlo Tree Search. Jakub Kowalski, Maksymilian Mika, Wojciech Pawlik, Jakub Sutowicz, Marek Szykula, Mark H. M. Winands |
| 2022 | SplitFed: When Federated Learning Meets Split Learning. Chandra Thapa, Mahawaga Arachchige Pathum Chamikara, Seyit Camtepe, Lichao Sun |
| 2022 | SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data. Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr |
| 2022 | Stability Verification in Stochastic Control Systems via Neural Network Supermartingales. Mathias Lechner, Dorde Zikelic, Krishnendu Chatterjee, Thomas A. Henzinger |
| 2022 | Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms. Liyuan Zheng, Tanner Fiez, Zane Alumbaugh, Benjamin Chasnov, Lillian J. Ratliff |
| 2022 | Stage Conscious Attention Network (SCAN): A Demonstration-Conditioned Policy for Few-Shot Imitation. Jia-Fong Yeh, Chi-Ming Chung, Hung-Ting Su, Yi-Ting Chen, Winston H. Hsu |
| 2022 | State Deviation Correction for Offline Reinforcement Learning. Hongchang Zhang, Jianzhun Shao, Yuhang Jiang, Shuncheng He, Guanwen Zhang, Xiangyang Ji |
| 2022 | Static-Dynamic Co-teaching for Class-Incremental 3D Object Detection. Na Zhao, Gim Hee Lee |
| 2022 | Stationary Diffusion State Neural Estimation for Multiview Clustering. Chenghua Liu, Zhuolin Liao, Yixuan Ma, Kun Zhan |
| 2022 | StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts. Zhengxiang Shi, Qiang Zhang, Aldo Lipani |
| 2022 | Stereo Neural Vernier Caliper. Shichao Li, Zechun Liu, Zhiqiang Shen, Kwang-Ting Cheng |
| 2022 | Stochastic Goal Recognition Design Problems with Suboptimal Agents. Christabel Wayllace, William Yeoh |
| 2022 | Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration. Ziwei Luo, Jing Hu, Xin Wang, Shu Hu, Bin Kong, Youbing Yin, Qi Song, Xi Wu, Siwei Lyu |
| 2022 | StoryQ - an Online Environment for Machine Learning of Text Classification. William Finzer, Jie Chao, Carolyn P. Rosé, Shiyan Jiang |
| 2022 | Strictly Proper Contract Functions Can Be Arbitrage-Free. Eric Neyman, Tim Roughgarden |
| 2022 | Structural Landmarking and Interaction Modelling: A "SLIM" Network for Graph Classification. Yaokang Zhu, Kai Zhang, Jun Wang, Haibin Ling, Jie Zhang, Hongyuan Zha |
| 2022 | Structure Learning-Based Task Decomposition for Reinforcement Learning in Non-stationary Environments. Honguk Woo, Gwangpyo Yoo, Minjong Yoo |
| 2022 | Structured Semantic Transfer for Multi-Label Recognition with Partial Labels. Tianshui Chen, Tao Pu, Hefeng Wu, Yuan Xie, Liang Lin |
| 2022 | Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation. Xinyi Wu, Zhenyao Wu, Yuhang Lu, Lili Ju, Song Wang |
| 2022 | Style-Guided and Disentangled Representation for Robust Image-to-Image Translation. Jaewoong Choi, Dae Ha Kim, Byung Cheol Song |
| 2022 | Subjective Attributes in Conversational Recommendation Systems: Challenges and Opportunities. Filip Radlinski, Craig Boutilier, Deepak Ramachandran, Ivan Vendrov |
| 2022 | Sublinear Time Approximation of Text Similarity Matrices. Archan Ray, Nicholas Monath, Andrew McCallum, Cameron Musco |
| 2022 | Subset Approximation of Pareto Regions with Bi-objective A. Nicolás Rivera, Jorge A. Baier, Carlos Hernández |
| 2022 | Subspace Differential Privacy. Jie Gao, Ruobin Gong, Fang-Yi Yu |
| 2022 | Sufficient Reasons for Classifier Decisions in the Presence of Domain Constraints. Niku Gorji, Sasha Rubin |
| 2022 | Supervising Model Attention with Human Explanations for Robust Natural Language Inference. Joe Stacey, Yonatan Belinkov, Marek Rei |
| 2022 | Suppressing Static Visual Cues via Normalizing Flows for Self-Supervised Video Representation Learning. Manlin Zhang, Jinpeng Wang, Andy J. Ma |
| 2022 | Switch-GPT: An Effective Method for Constrained Text Generation under Few-Shot Settings (Student Abstract). Chang Ma, Song Zhang, Gehui Shen, Zhi-Hong Deng |
| 2022 | Symbolic Brittleness in Sequence Models: On Systematic Generalization in Symbolic Mathematics. Sean Welleck, Peter West, Jize Cao, Yejin Choi |
| 2022 | Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems. Subbarao Kambhampati, Sarath Sreedharan, Mudit Verma, Yantian Zha, Lin Guan |
| 2022 | SyncTalkFace: Talking Face Generation with Precise Lip-Syncing via Audio-Lip Memory. Se Jin Park, Minsu Kim, Joanna Hong, Jeongsoo Choi, Yong Man Ro |
| 2022 | Synthesis from Satisficing and Temporal Goals. Suguman Bansal, Lydia E. Kavraki, Moshe Y. Vardi, Andrew M. Wells |
| 2022 | Synthetic Disinformation Attacks on Automated Fact Verification Systems. Yibing Du, Antoine Bosselut, Christopher D. Manning |
| 2022 | TA2N: Two-Stage Action Alignment Network for Few-Shot Action Recognition. Shuyuan Li, Huabin Liu, Rui Qian, Yuxi Li, John See, Mengjuan Fei, Xiaoyuan Yu, Weiyao Lin |
| 2022 | TAG: Learning Timed Automata from Logs. Lénaïg Cornanguer, Christine Largouët, Laurence Rozé, Alexandre Termier |
| 2022 | TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning. Yuzhou Chen, Yuliya Marchetti, Elena Sizikova, Yulia R. Gel |
| 2022 | TDv2: A Novel Tree-Structured Decoder for Offline Mathematical Expression Recognition. Changjie Wu, Jun Du, Yunqing Li, Jianshu Zhang, Chen Yang, Bo Ren, Yiqing Hu |
| 2022 | TEACh: Task-Driven Embodied Agents That Chat. Aishwarya Padmakumar, Jesse Thomason, Ayush Shrivastava, Patrick Lange, Anjali Narayan-Chen, Spandana Gella, Robinson Piramuthu, Gökhan Tür, Dilek Hakkani-Tür |
| 2022 | TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs. Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu |
| 2022 | TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp |
| 2022 | TRACER: Extreme Attention Guided Salient Object Tracing Network (Student Abstract). Min Seok Lee, Wooseok Shin, Sung Won Han |
| 2022 | TRF: Learning Kernels with Tuned Random Features. Alistair Shilton, Sunil Gupta, Santu Rana, Arun Kumar Anjanapura Venkatesh, Svetha Venkatesh |
| 2022 | TS2Vec: Towards Universal Representation of Time Series. Zhihan Yue, Yujing Wang, Juanyong Duan, Tianmeng Yang, Congrui Huang, Yunhai Tong, Bixiong Xu |
| 2022 | TVT: Three-Way Vision Transformer through Multi-Modal Hypersphere Learning for Zero-Shot Sketch-Based Image Retrieval. Jialin Tian, Xing Xu, Fumin Shen, Yang Yang, Heng Tao Shen |
| 2022 | Tailor Versatile Multi-Modal Learning for Multi-Label Emotion Recognition. Yi Zhang, Mingyuan Chen, Jundong Shen, Chongjun Wang |
| 2022 | Target Languages (vs. Inductive Biases) for Learning to Act and Plan. Hector Geffner |
| 2022 | Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing. Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li |
| 2022 | Task-Level Self-Supervision for Cross-Domain Few-Shot Learning. Wang Yuan, Zhizhong Zhang, Cong Wang, Haichuan Song, Yuan Xie, Lizhuang Ma |
| 2022 | Teaching AI with the Hands-On AI Projects for the Classroom Series. Nancye Blair Black |
| 2022 | Teaching Humans When to Defer to a Classifier via Exemplars. Hussein Mozannar, Arvind Satyanarayan, David A. Sontag |
| 2022 | Team Correlated Equilibria in Zero-Sum Extensive-Form Games via Tree Decompositions. Brian Hu Zhang, Tuomas Sandholm |
| 2022 | TempoQR: Temporal Question Reasoning over Knowledge Graphs. Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Adesoji Adeshina, Phillip Ryan Howard, Tetiana Grinberg, Nagib Hakim, George Karypis |
| 2022 | Temporal Action Proposal Generation with Background Constraint. Haosen Yang, Wenhao Wu, Lining Wang, Sheng Jin, Boyang Xia, Hongxun Yao, Hujie Huang |
| 2022 | Temporal Knowledge Graph Completion Using Box Embeddings. Johannes Messner, Ralph Abboud, Ismail Ilkan Ceylan |
| 2022 | Text Gestalt: Stroke-Aware Scene Text Image Super-resolution. Jingye Chen, Haiyang Yu, Jianqi Ma, Bin Li, Xiangyang Xue |
| 2022 | Text Is No More Enough! A Benchmark for Profile-Based Spoken Language Understanding. Xiao Xu, Libo Qin, Kaiji Chen, Guoxing Wu, Linlin Li, Wanxiang Che |
| 2022 | Text Revision By On-the-Fly Representation Optimization. Jingjing Li, Zichao Li, Tao Ge, Irwin King, Michael R. Lyu |
| 2022 | Text-Based Interactive Recommendation via Offline Reinforcement Learning. Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin |
| 2022 | TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text. Muchao Ye, Chenglin Miao, Ting Wang, Fenglong Ma |
| 2022 | Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucinations. Seunggyu Chang, Jungchan Cho, Songhwai Oh |
| 2022 | Texture Reformer: Towards Fast and Universal Interactive Texture Transfer. Zhizhong Wang, Lei Zhao, Haibo Chen, Ailin Li, Zhiwen Zuo, Wei Xing, Dongming Lu |
| 2022 | The Bullets Puzzle: A Paper-and-Pencil Minesweeper. Todd W. Neller, Hien G. Tran |
| 2022 | The Complexity of Learning Approval-Based Multiwinner Voting Rules. Ioannis Caragiannis, Karl Fehrs |
| 2022 | The Complexity of Proportionality Degree in Committee Elections. Lukasz Janeczko, Piotr Faliszewski |
| 2022 | The Complexity of Subelection Isomorphism Problems. Piotr Faliszewski, Krzysztof Sornat, Stanislaw Szufa |
| 2022 | The Complexity of Temporal Vertex Cover in Small-Degree Graphs. Thekla Hamm, Nina Klobas, George B. Mertzios, Paul G. Spirakis |
| 2022 | The Computational Gauntlet of Human-Like Learning. Pat Langley |
| 2022 | The Effect of Manifold Entanglement and Intrinsic Dimensionality on Learning. Daniel Kienitz, Ekaterina Komendantskaya, Michael A. Lones |
| 2022 | The FF Heuristic for Lifted Classical Planning. Augusto B. Corrêa, Florian Pommerening, Malte Helmert, Guillem Francès |
| 2022 | The Importance of Hyperparameter Optimisation for Facial Recognition Applications. Hannah M. Claus |
| 2022 | The King Is Naked: On the Notion of Robustness for Natural Language Processing. Emanuele La Malfa, Marta Kwiatkowska |
| 2022 | The Metric Distortion of Multiwinner Voting. Ioannis Caragiannis, Nisarg Shah, Alexandros A. Voudouris |
| 2022 | The Perils of Learning Before Optimizing. Chris Cameron, Jason S. Hartford, Taylor Lundy, Kevin Leyton-Brown |
| 2022 | The Price of Justified Representation. Edith Elkind, Piotr Faliszewski, Ayumi Igarashi, Pasin Manurangsi, Ulrike Schmidt-Kraepelin, Warut Suksompong |
| 2022 | The Price of Selfishness: Conjunctive Query Entailment for ALCSelf Is 2EXPTIME-Hard. Bartosz Bednarczyk, Sebastian Rudolph |
| 2022 | The Psychology of Semantic Spaces: Experiments with Positive Emotion (Student Abstract). Xuan Liu, Kokil Jaidka, Niyati Chayya |
| 2022 | The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection. Shubhankar Mohapatra, Sajin Sasy, Xi He, Gautam Kamath, Om Thakkar |
| 2022 | The Secretary Problem with Competing Employers on Random Edge Arrivals. Xiaohui Bei, Shengyu Zhang |
| 2022 | The Semi-random Likelihood of Doctrinal Paradoxes. Ao Liu, Lirong Xia |
| 2022 | The SoftCumulative Constraint with Quadratic Penalty. Yanick Ouellet, Claude-Guy Quimper |
| 2022 | The Strange Role of Information Asymmetry in Auctions - Does More Accurate Value Estimation Benefit a Bidder? Haifeng Xu, Ruggiero Cavallo |
| 2022 | The Triangle-Densest-K-Subgraph Problem: Hardness, Lovász Extension, and Application to Document Summarization. Aritra Konar, Nicholas D. Sidiropoulos |
| 2022 | Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods. Xin Guo, Anran Hu, Junzi Zhang |
| 2022 | Theory of and Experiments on Minimally Invasive Stability Preservation in Changing Two-Sided Matching Markets. Niclas Boehmer, Klaus Heeger, Rolf Niedermeier |
| 2022 | Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022 |
| 2022 | Thrifty Neural Architecture Search for Medical Image Segmentation (Student Abstract). Ruibin Chen, Miao Zhang, Xin Zheng, Shirui Pan |
| 2022 | TiGAN: Text-Based Interactive Image Generation and Manipulation. Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Chris Tensmeyer, Tong Yu, Changyou Chen, Jinhui Xu, Tong Sun |
| 2022 | Tight Neural Network Verification via Semidefinite Relaxations and Linear Reformulations. Jianglin Lan, Yang Zheng, Alessio Lomuscio |
| 2022 | Top-Down Deep Clustering with Multi-Generator GANs. Daniel P. M. de Mello, Renato M. Assunção, Fabricio Murai |
| 2022 | Topology-Aware Convolutional Neural Network for Efficient Skeleton-Based Action Recognition. Kailin Xu, Fanfan Ye, Qiaoyong Zhong, Di Xie |
| 2022 | Toward Physically Realizable Quantum Neural Networks. Mohsen Heidari, Ananth Grama, Wojciech Szpankowski |
| 2022 | Toward a New Science of Common Sense. Ronald J. Brachman, Hector J. Levesque |
| 2022 | Towards Accurate Facial Motion Retargeting with Identity-Consistent and Expression-Exclusive Constraints. Langyuan Mo, Haokun Li, Chaoyang Zou, Yubing Zhang, Ming Yang, Yihong Yang, Mingkui Tan |
| 2022 | Towards Automated Discovery of God-Like Folk Algorithms for Rubik's Cube. Garrett E. Katz, Naveed Tahir |
| 2022 | Towards Automating Model Explanations with Certified Robustness Guarantees. Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, Aidong Zhang |
| 2022 | Towards Automating the Generation of Human-Robot Interaction Scenarios. Matthew C. Fontaine |
| 2022 | Towards Bridging Sample Complexity and Model Capacity. Shibin Mei, Chenglong Zhao, Shengchao Yuan, Bingbing Ni |
| 2022 | Towards Building ASR Systems for the Next Billion Users. Tahir Javed, Sumanth Doddapaneni, Abhigyan Raman, Kaushal Santosh Bhogale, Gowtham Ramesh, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra |
| 2022 | Towards Debiasing DNN Models from Spurious Feature Influence. Mengnan Du, Ruixiang Tang, Weijie Fu, Xia Hu |
| 2022 | Towards Discriminant Analysis Classifiers Using Online Active Learning via Myoelectric Interfaces. Andres G. Jaramillo-Yanez, Marco E. Benalcázar, Sebastian Sardiña, Fabio Zambetta |
| 2022 | Towards End-to-End Image Compression and Analysis with Transformers. Yuanchao Bai, Xu Yang, Xianming Liu, Junjun Jiang, Yaowei Wang, Xiangyang Ji, Wen Gao |
| 2022 | Towards Explainable Action Recognition by Salient Qualitative Spatial Object Relation Chains. Hua Hua, Dongxu Li, Ruiqi Li, Peng Zhang, Jochen Renz, Anthony G. Cohn |
| 2022 | Towards Fine-Grained Reasoning for Fake News Detection. Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie |
| 2022 | Towards Fully Sparse Training: Information Restoration with Spatial Similarity. Weixiang Xu, Xiangyu He, Ke Cheng, Peisong Wang, Jian Cheng |
| 2022 | Towards High-Fidelity Face Self-Occlusion Recovery via Multi-View Residual-Based GAN Inversion. Jinsong Chen, Hu Han, Shiguang Shan |
| 2022 | Towards Light-Weight and Real-Time Line Segment Detection. Geonmo Gu, Byungsoo Ko, SeoungHyun Go, Sung-Hyun Lee, Jingeun Lee, Minchul Shin |
| 2022 | Towards Multimodal Vision-Language Models Generating Non-generic Text. Wes Robbins |
| 2022 | Towards Off-Policy Learning for Ranking Policies with Logged Feedback. Teng Xiao, Suhang Wang |
| 2022 | Towards One Shot Search Space Poisoning in Neural Architecture Search (Student Abstract). Nayan Saxena, Robert Wu, Rohan Jain |
| 2022 | Towards Robust Named Entity Recognition via Temporal Domain Adaptation and Entity Context Understanding. Oshin Agarwal |
| 2022 | Towards Robust Off-Policy Learning for Runtime Uncertainty. Da Xu, Yuting Ye, Chuanwei Ruan, Bo Yang |
| 2022 | Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition. Lipeng Ke, Kuan-Chuan Peng, Siwei Lyu |
| 2022 | Towards Transferable Adversarial Attacks on Vision Transformers. Zhipeng Wei, Jingjing Chen, Micah Goldblum, Zuxuan Wu, Tom Goldstein, Yu-Gang Jiang |
| 2022 | Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization. Zhe Chen, Wenhai Wang, Enze Xie, Tong Lu, Ping Luo |
| 2022 | Towards Versatile Pedestrian Detector with Multisensory-Matching and Multispectral Recalling Memory. Jung Uk Kim, Sungjune Park, Yong Man Ro |
| 2022 | Towards a Rigorous Evaluation of Time-Series Anomaly Detection. Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon |
| 2022 | Towards an AI-Infused Interdisciplinary Curriculum for Middle-Grade Classrooms. Bita Akram, Spencer Yoder, Cansu Tatar, Sankalp Boorugu, Ifeoluwa Aderemi, Shiyan Jiang |
| 2022 | Towards an Effective Orthogonal Dictionary Convolution Strategy. Yishi Li, Kunran Xu, Rui Lai, Lin Gu |
| 2022 | Tracing Text Provenance via Context-Aware Lexical Substitution. Xi Yang, Jie Zhang, Kejiang Chen, Weiming Zhang, Zehua Ma, Feng Wang, Nenghai Yu |
| 2022 | Tracking Down Misguiding Terms for Locating Bugs in Deep Learning-Based Software (Student Abstract). Youngkyoung Kim, Misoo Kim, Eunseok Lee |
| 2022 | Tractable Abstract Argumentation via Backdoor-Treewidth. Wolfgang Dvorák, Markus Hecher, Matthias König, André Schidler, Stefan Szeider, Stefan Woltran |
| 2022 | Tractable Explanations for d-DNNF Classifiers. Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, Martin C. Cooper, Nicholas Asher, João Marques-Silva |
| 2022 | Trading Complexity for Sparsity in Random Forest Explanations. Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis |
| 2022 | Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis. Taha Belkhouja, Yan Yan, Janardhan Rao Doppa |
| 2022 | Training Up to 50 Class ML Models on 3 $ IoT Hardware via Optimizing One-vs-One Algorithm (Student Abstract). Bharath Sudharsan |
| 2022 | Training a Resilient Q-network against Observational Interference. Chao-Han Huck Yang, I-Te Danny Hung, Yi Ouyang, Pin-Yu Chen |
| 2022 | Training on the Test Set: Mapping the System-Problem Space in AI. José Hernández-Orallo, Wout Schellaert, Fernando Martínez-Plumed |
| 2022 | Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate. Lu Mi, Hao Wang, Yonglong Tian, Hao He, Nir Shavit |
| 2022 | TransBoost: A Boosting-Tree Kernel Transfer Learning Algorithm for Improving Financial Inclusion. Yiheng Sun, Tian Lu, Cong Wang, Yuan Li, Huaiyu Fu, Jingran Dong, Yunjie Xu |
| 2022 | TransFG: A Transformer Architecture for Fine-Grained Recognition. Ju He, Jieneng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang |
| 2022 | TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework Using Self-Supervised Multi-Task Learning. Linhao Qu, Shaolei Liu, Manning Wang, Zhijian Song |
| 2022 | TransZero: Attribute-Guided Transformer for Zero-Shot Learning. Shiming Chen, Ziming Hong, Yang Liu, Guo-Sen Xie, Baigui Sun, Hao Li, Qinmu Peng, Ke Lu, Xinge You |
| 2022 | Transcoded Video Restoration by Temporal Spatial Auxiliary Network. Li Xu, Gang He, Jinjia Zhou, Jie Lei, Weiying Xie, Yunsong Li, Yu-Wing Tai |
| 2022 | Transcribing Natural Languages for the Deaf via Neural Editing Programs. Dongxu Li, Chenchen Xu, Liu Liu, Yiran Zhong, Rong Wang, Lars Petersson, Hongdong Li |
| 2022 | Transfer Learning for Color Constancy via Statistic Perspective. Yuxiang Tang, Xuejing Kang, Chunxiao Li, Zhaowen Lin, Anlong Ming |
| 2022 | Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation. Aoran Xiao, Jiaxing Huang, Dayan Guan, Fangneng Zhan, Shijian Lu |
| 2022 | Transferring the Contamination Factor between Anomaly Detection Domains by Shape Similarity. Lorenzo Perini, Vincent Vercruyssen, Jesse Davis |
| 2022 | Transformation of Emotions in Images Using Poisson Blended Generative Adversarial Networks (Student Abstract). Aristidis Dernelakis, Jungin Kim, Kevin Velasquez, Lee Stearns |
| 2022 | Transformer Uncertainty Estimation with Hierarchical Stochastic Attention. Jiahuan Pei, Cheng Wang, György Szarvas |
| 2022 | Transformer with Memory Replay. Rui Liu, Barzan Mozafari |
| 2022 | Transformer-Based Unsupervised Learning for Early Detection of Sepsis (Student Abstract). Yutao Dou, Wei Li, Albert Y. Zomaya |
| 2022 | Transmission-Guided Bayesian Generative Model for Smoke Segmentation. Siyuan Yan, Jing Zhang, Nick Barnes |
| 2022 | TrustAL: Trustworthy Active Learning Using Knowledge Distillation. Beong-woo Kwak, Youngwook Kim, Yu Jin Kim, Seung-won Hwang, Jinyoung Yeo |
| 2022 | Trusted Multi-View Deep Learning with Opinion Aggregation. Wei Liu, Xiaodong Yue, Yufei Chen, Thierry Denoeux |
| 2022 | Truth-Tracking via Approval Voting: Size Matters. Tahar Allouche, Jérôme Lang, Florian Yger |
| 2022 | Truthful Aggregation of Budget Proposals with Proportionality Guarantees. Ioannis Caragiannis, George Christodoulou, Nicos Protopapas |
| 2022 | Truthful Cake Sharing. Xiaohui Bei, Xinhang Lu, Warut Suksompong |
| 2022 | Truthful and Fair Mechanisms for Matroid-Rank Valuations. Siddharth Barman, Paritosh Verma |
| 2022 | Two Compacted Models for Efficient Model-Based Diagnosis. Huisi Zhou, Dantong Ouyang, Xiangfu Zhao, Liming Zhang |
| 2022 | Two-Price Equilibrium. Michal Feldman, Galia Shabtai, Aner Wolfenfeld |
| 2022 | Two-Stage Octave Residual Network for End-to-End Image Compression. Fangdong Chen, Yumeng Xu, Li Wang |
| 2022 | UCSM-DNN: User and Card Style Modeling with Deep Neural Networks for Personalized Game AI. Daegeun Choe, Youngbak Jo, Shindong Kang, Shounan An, Insoo Oh |
| 2022 | UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer. Haonan Wang, Peng Cao, Jiaqi Wang, Osmar R. Zaïane |
| 2022 | UFPMP-Det: Toward Accurate and Efficient Object Detection on Drone Imagery. Yecheng Huang, Jiaxin Chen, Di Huang |
| 2022 | UNISON: Unpaired Cross-Lingual Image Captioning. Jiahui Gao, Yi Zhou, Philip L. H. Yu, Shafiq R. Joty, Jiuxiang Gu |
| 2022 | Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning. Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell, Eric Poe Xing |
| 2022 | Unbiased IoU for Spherical Image Object Detection. Feng Dai, Bin Chen, Hang Xu, Yike Ma, Xiaodong Li, Bailan Feng, Peng Yuan, Chenggang Yan, Qiang Zhao |
| 2022 | Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation. Yi Li, Yiqun Duan, Zhanghui Kuang, Yimin Chen, Wayne Zhang, Xiaomeng Li |
| 2022 | Uncertainty Modeling with Second-Order Transformer for Group Re-identification. Quan Zhang, Jian-Huang Lai, Zhan-Xiang Feng, Xiaohua Xie |
| 2022 | Uncertainty-Aware Learning against Label Noise on Imbalanced Datasets. Yingsong Huang, Bing Bai, Shengwei Zhao, Kun Bai, Fei Wang |
| 2022 | Uncertainty-Driven Dehazing Network. Ming Hong, Jianzhuang Liu, Cuihua Li, Yanyun Qu |
| 2022 | Undercover Boolean Matrix Factorization with MaxSAT. Florent Avellaneda, Roger Villemaire |
| 2022 | Understanding Enthymemes in Deductive Argumentation Using Semantic Distance Measures. Anthony Hunter |
| 2022 | Understanding Stochastic Optimization Behavior at the Layer Update Level (Student Abstract). Jack Zhang, Guan Xiong Qiao, Alexandru Lopotenco, Ian Tong Pan |
| 2022 | UniMS: A Unified Framework for Multimodal Summarization with Knowledge Distillation. Zhengkun Zhang, Xiaojun Meng, Yasheng Wang, Xin Jiang, Qun Liu, Zhenglu Yang |
| 2022 | Unified Named Entity Recognition as Word-Word Relation Classification. Jingye Li, Hao Fei, Jiang Liu, Shengqiong Wu, Meishan Zhang, Chong Teng, Donghong Ji, Fei Li |
| 2022 | Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias. Jonas Schouterden, Jessa Bekker, Jesse Davis, Hendrik Blockeel |
| 2022 | Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction. Dongfang Li, Baotian Hu, Qingcai Chen, Tujie Xu, Jingcong Tao, Yunan Zhang |
| 2022 | Unit Selection with Causal Diagram. Ang Li, Judea Pearl |
| 2022 | Universal and Tight Online Algorithms for Generalized-Mean Welfare. Siddharth Barman, Arindam Khan, Arnab Maiti |
| 2022 | Unmasking the Mask - Evaluating Social Biases in Masked Language Models. Masahiro Kaneko, Danushka Bollegala |
| 2022 | Unpaired Multi-Domain Stain Transfer for Kidney Histopathological Images. Yiyang Lin, Bowei Zeng, Yifeng Wang, Yang Chen, Zijie Fang, Jian Zhang, Xiangyang Ji, Haoqian Wang, Yongbing Zhang |
| 2022 | Unsupervised Adversarially Robust Representation Learning on Graphs. Jiarong Xu, Yang Yang, Junru Chen, Xin Jiang, Chunping Wang, Jiangang Lu, Yizhou Sun |
| 2022 | Unsupervised Anomaly Detection by Robust Density Estimation. Boyang Liu, Pang-Ning Tan, Jiayu Zhou |
| 2022 | Unsupervised Causal Binary Concepts Discovery with VAE for Black-Box Model Explanation. Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma |
| 2022 | Unsupervised Coherent Video Cartoonization with Perceptual Motion Consistency. Zhenhuan Liu, Liang Li, Huajie Jiang, Xin Jin, Dandan Tu, Shuhui Wang, Zheng-Jun Zha |
| 2022 | Unsupervised Deep Keyphrase Generation. Xianjie Shen, Yinghan Wang, Rui Meng, Jingbo Shang |
| 2022 | Unsupervised Domain Adaptive Salient Object Detection through Uncertainty-Aware Pseudo-Label Learning. Pengxiang Yan, Ziyi Wu, Mengmeng Liu, Kun Zeng, Liang Lin, Guanbin Li |
| 2022 | Unsupervised Editing for Counterfactual Stories. Jiangjie Chen, Chun Gan, Sijie Cheng, Hao Zhou, Yanghua Xiao, Lei Li |
| 2022 | Unsupervised Identification of Materials with Hyperspectral Images. Mira Welner |
| 2022 | Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints. Jinyang Yuan, Bin Li, Xiangyang Xue |
| 2022 | Unsupervised Reinforcement Learning in Multiple Environments. Mirco Mutti, Mattia Mancassola, Marcello Restelli |
| 2022 | Unsupervised Representation for Semantic Segmentation by Implicit Cycle-Attention Contrastive Learning. Bo Pang, Yizhuo Li, Yifan Zhang, Gao Peng, Jiajun Tang, Kaiwen Zha, Jiefeng Li, Cewu Lu |
| 2022 | Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives. Yanzhao Zhang, Richong Zhang, Samuel Mensah, Xudong Liu, Yongyi Mao |
| 2022 | Unsupervised Temporal Video Grounding with Deep Semantic Clustering. Daizong Liu, Xiaoye Qu, Yinzhen Wang, Xing Di, Kai Zou, Yu Cheng, Zichuan Xu, Pan Zhou |
| 2022 | Unsupervised Underwater Image Restoration: From a Homology Perspective. Zhenqi Fu, Huangxing Lin, Yan Yang, Shu Chai, Liyan Sun, Yue Huang, Xinghao Ding |
| 2022 | Up to 100x Faster Data-Free Knowledge Distillation. Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song |
| 2022 | Using Conditional Independence for Belief Revision. Matthew James Lynn, James P. Delgrande, Pavlos Peppas |
| 2022 | Using Graph-Aware Reinforcement Learning to Identify Winning Strategies in Diplomacy Games (Student Abstract). Hansin Ahuja, Lynnette Hui Xian Ng, Kokil Jaidka |
| 2022 | Using MaxSAT for Efficient Explanations of Tree Ensembles. Alexey Ignatiev, Yacine Izza, Peter J. Stuckey, João Marques-Silva |
| 2022 | Using Multimodal Data and AI to Dynamically Map Flood Risk. Lydia Bryan-Smith |
| 2022 | Using Public Data to Predict Demand for Mobile Health Clinics. Haipeng Chen, Susobhan Ghosh, Gregory Fan, Nikhil Behari, Arpita Biswas, Mollie Williams, Nancy E. Oriol, Milind Tambe |
| 2022 | Using Random Perturbations to Mitigate Adversarial Attacks on NLP Models. Abigail Swenor |
| 2022 | Using Reinforcement Learning for Operating Educational Campuses Safely during a Pandemic (Student Abstract). Elizabeth Akinyi Ondula, Bhaskar Krishnamachari |
| 2022 | Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees. Yaman Kumar Singla, Sriram Krishna, Rajiv Ratn Shah, Changyou Chen |
| 2022 | VACA: Designing Variational Graph Autoencoders for Causal Queries. Pablo Sánchez-Martín, Miriam Rateike, Isabel Valera |
| 2022 | VAST: The Valence-Assessing Semantics Test for Contextualizing Language Models. Robert Wolfe, Aylin Caliskan |
| 2022 | VECA: A New Benchmark and Toolkit for General Cognitive Development. Kwanyoung Park, Hyunseok Oh, Youngki Lee |
| 2022 | VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization. Minghui Chen, Cheng Wen, Feng Zheng, Fengxiang He, Ling Shao |
| 2022 | ValueNet: A New Dataset for Human Value Driven Dialogue System. Liang Qiu, Yizhou Zhao, Jinchao Li, Pan Lu, Baolin Peng, Jianfeng Gao, Song-Chun Zhu |
| 2022 | VeNAS: Versatile Negotiating Agent Strategy via Deep Reinforcement Learning (Student Abstract). Toki Takahashi, Ryota Higa, Katsuhide Fujita, Shinji Nakadai |
| 2022 | Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes. Christian Schilling, Marcelo Forets, Sebastián Guadalupe |
| 2022 | Video as Conditional Graph Hierarchy for Multi-Granular Question Answering. Junbin Xiao, Angela Yao, Zhiyuan Liu, Yicong Li, Wei Ji, Tat-Seng Chua |
| 2022 | Vision Transformers Are Robust Learners. Sayak Paul, Pin-Yu Chen |
| 2022 | Visual Consensus Modeling for Video-Text Retrieval. Shuqiang Cao, Bairui Wang, Wei Zhang, Lin Ma |
| 2022 | Visual Definition Modeling: Challenging Vision & Language Models to Define Words and Objects. Bianca Scarlini, Tommaso Pasini, Roberto Navigli |
| 2022 | Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks (Student Abstract). Amil Dravid, Aggelos K. Katsaggelos |
| 2022 | Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition. Yue He, Chen Chen, Jing Zhang, Juhua Liu, Fengxiang He, Chaoyue Wang, Bo Du |
| 2022 | Visual Sound Localization in the Wild by Cross-Modal Interference Erasing. Xian Liu, Rui Qian, Hang Zhou, Di Hu, Weiyao Lin, Ziwei Liu, Bolei Zhou, Xiaowei Zhou |
| 2022 | Wasserstein Adversarial Transformer for Cloud Workload Prediction. Shivani Arbat, Vinodh Kumaran Jayakumar, Jaewoo Lee, Wei Wang, In Kee Kim |
| 2022 | Wasserstein Unsupervised Reinforcement Learning. Shuncheng He, Yuhang Jiang, Hongchang Zhang, Jianzhun Shao, Xiangyang Ji |
| 2022 | Weakly Supervised Neural Symbolic Learning for Cognitive Tasks. Jidong Tian, Yitian Li, Wenqing Chen, Liqiang Xiao, Hao He, Yaohui Jin |
| 2022 | Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning over Text. Amrita Saha, Shafiq R. Joty, Steven C. H. Hoi |
| 2022 | Weakly Supervised Video Moment Localization with Contrastive Negative Sample Mining. Minghang Zheng, Yanjie Huang, Qingchao Chen, Yang Liu |
| 2022 | Weakly-Supervised Salient Object Detection Using Point Supervison. Shuyong Gao, Wei Zhang, Yan Wang, Qianyu Guo, Chenglong Zhang, Yangji He, Wenqiang Zhang |
| 2022 | Weighted Fairness Notions for Indivisible Items Revisited. Mithun Chakraborty, Erel Segal-Halevi, Warut Suksompong |
| 2022 | Weighted Model Counting in FO2 with Cardinality Constraints and Counting Quantifiers: A Closed Form Formula. Sagar Malhotra, Luciano Serafini |
| 2022 | Well-Classified Examples Are Underestimated in Classification with Deep Neural Networks. Guangxiang Zhao, Wenkai Yang, Xuancheng Ren, Lei Li, Yunfang Wu, Xu Sun |
| 2022 | What Can We Learn Even from the Weakest? Learning Sketches for Programmatic Strategies. Leandro C. Medeiros, David S. Aleixo, Levi H. S. Lelis |
| 2022 | What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator. Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang |
| 2022 | When AI Difficulty Is Easy: The Explanatory Power of Predicting IRT Difficulty. Fernando Martínez-Plumed, David Castellano Falcón, Carlos Monserrat Aranda, José Hernández-Orallo |
| 2022 | When Can the Defender Effectively Deceive Attackers in Security Games? Thanh Nguyen, Haifeng Xu |
| 2022 | When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework. Xinyi Zou, Yan Yan, Jing-Hao Xue, Si Chen, Hanzi Wang |
| 2022 | When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism. Guangting Wang, Yucheng Zhao, Chuanxin Tang, Chong Luo, Wenjun Zeng |
| 2022 | Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness. Carolyn Ashurst, Ryan Carey, Silvia Chiappa, Tom Everitt |
| 2022 | Width & Depth Pruning for Vision Transformers. Fang Yu, Kun Huang, Meng Wang, Yuan Cheng, Wei Chu, Li Cui |
| 2022 | Wind Prediction under Random Data Corruption (Student Abstract). Conner Flansburg, Dimitrios I. Diochnos |
| 2022 | With False Friends Like These, Who Can Notice Mistakes? Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen |
| 2022 | Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving. Lei Ding, Dengdeng Yu, Jinhan Xie, Wenxing Guo, Shenggang Hu, Meichen Liu, Linglong Kong, Hongsheng Dai, Yanchun Bao, Bei Jiang |
| 2022 | Word Level Robustness Enhancement: Fight Perturbation with Perturbation. Pei Huang, Yuting Yang, Fuqi Jia, Minghao Liu, Feifei Ma, Jian Zhang |
| 2022 | Worst-Case Voting When the Stakes Are High. Anson Kahng, Gregory Kehne |
| 2022 | XDC: Adversarial Adaptive Cross Domain Face Clustering (Student Abstract). Saed Rezayi, Handong Zhao, Sheng Li |
| 2022 | XLM-K: Improving Cross-Lingual Language Model Pre-training with Multilingual Knowledge. Xiaoze Jiang, Yaobo Liang, Weizhu Chen, Nan Duan |
| 2022 | You Only Infer Once: Cross-Modal Meta-Transfer for Referring Video Object Segmentation. Dezhuang Li, Ruoqi Li, Lijun Wang, Yifan Wang, Jinqing Qi, Lu Zhang, Ting Liu, Qingquan Xu, Huchuan Lu |
| 2022 | ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations. Zhuohan Yu, Yifu Lu, Yunhe Wang, Fan Tang, Ka-Chun Wong, Xiangtao Li |
| 2022 | Zero Stability Well Predicts Performance of Convolutional Neural Networks. Liangming Chen, Long Jin, Mingsheng Shang |
| 2022 | Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data. Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov |
| 2022 | Zero-Shot Commonsense Question Answering with Cloze Translation and Consistency Optimization. Zi-Yi Dou, Nanyun Peng |
| 2022 | Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph. Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi |
| 2022 | Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP. Sepideh Esmaeilpour, Bing Liu, Eric Robertson, Lei Shu |
| 2022 | Zeroth-Order Optimization for Composite Problems with Functional Constraints. Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu |
| 2022 | fGOT: Graph Distances Based on Filters and Optimal Transport. Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard |
| 2022 | iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection. Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee |
| 2022 | iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control. Xiaoyan Cao, Yao Yao, Lanqing Li, Wanpeng Zhang, Zhicheng An, Zhong Zhang, Li Xiao, Shihui Guo, Xiaoyu Cao, Meihong Wu, Dijun Luo |