| 2022 | "My nose is running." "Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics. Wenge Liu, Yi Cheng, Hao Wang, Jianheng Tang, Yafei Liu, Ruihui Zhao, Wenjie Li, Yefeng Zheng, Xiaodan Liang |
| 2022 | "Think Before You Speak": Improving Multi-Action Dialog Policy by Planning Single-Action Dialogs. Shuo Zhang, Junzhou Zhao, Pinghui Wang, Yu Li, Yi Huang, Junlan Feng |
| 2022 | 3E-Solver: An Effortless, Easy-to-Update, and End-to-End Solver with Semi-Supervised Learning for Breaking Text-Based Captchas. Xianwen Deng, Ruijie Zhao, Yanhao Wang, Libo Chen, Yijun Wang, Zhi Xue |
| 2022 | A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation. Wenqi Zhang, Kai Zhao, Peng Li, Xiao Zhu, Yongliang Shen, Yanna Ma, Yingfeng Chen, Weiming Lu |
| 2022 | A Computationally Grounded Logic of 'Seeing-to-it-that'. Andreas Herzig, Emiliano Lorini, Elise Perrotin |
| 2022 | A Decoder-free Transformer-like Architecture for High-efficiency Single Image Deraining. Xiao Wu, Ting-Zhu Huang, Liang-Jian Deng, Tian-Jing Zhang |
| 2022 | A Few Seconds Can Change Everything: Fast Decision-based Attacks against DNNs. Ningping Mou, Baolin Zheng, Qian Wang, Yunjie Ge, Binqing Guo |
| 2022 | A Formal Model for Multiagent Q-Learning Dynamics on Regular Graphs. Chen Chu, Yong Li, Jinzhuo Liu, Shuyue Hu, Xuelong Li, Zhen Wang |
| 2022 | A Model-Oriented Approach for Lifting Symmetry-Breaking Constraints in Answer Set Programming. Alice Tarzariol |
| 2022 | A Multivariate Complexity Analysis of Qualitative Reasoning Problems. Leif Eriksson, Victor Lagerkvist |
| 2022 | A Murder and Protests, the Capitol Riot, and the Chauvin Trial: Estimating Disparate News Media Stance. Sujan Dutta, Beibei Li, Daniel S. Nagin, Ashiqur R. KhudaBukhsh |
| 2022 | A Native Qualitative Numeric Planning Solver Based on AND/OR Graph Search. Hemeng Zeng, Yikun Liang, Yongmei Liu |
| 2022 | A Polynomial-time Decentralised Algorithm for Coordinated Management of Multiple Intersections. Tatsuya Iwase, Sebastian Stein, Enrico H. Gerding, Archie Chapman |
| 2022 | A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing. Qi Zhang, Liang Hu, Longbing Cao, Chongyang Shi, Shoujin Wang, Dora D. Liu |
| 2022 | A Reinforcement Learning-Informed Pattern Mining Framework for Multivariate Time Series Classification. Ge Gao, Qitong Gao, Xi Yang, Miroslav Pajic, Min Chi |
| 2022 | A Reliability-aware Distributed Framework to Schedule Residential Charging of Electric Vehicles. Rounak Meyur, Swapna Thorve, Madhav V. Marathe, Anil Vullikanti, Samarth Swarup, Henning S. Mortveit |
| 2022 | A Simple yet Effective Method for Graph Classification. Junran Wu, Shangzhe Li, Jianhao Li, Yicheng Pan, Ke Xu |
| 2022 | A Smart Trader for Portfolio Management based on Normalizing Flows. Mengyuan Yang, Xiaolin Zheng, Qianqiao Liang, Bing Han, Mengying Zhu |
| 2022 | A Solver + Gradient Descent Training Algorithm for Deep Neural Networks. Dhananjay Ashok, Vineel Nagisetty, Christopher Srinivasa, Vijay Ganesh |
| 2022 | A Sparse-Motif Ensemble Graph Convolutional Network against Over-smoothing. Xuan Jiang, Zhiyong Yang, Peisong Wen, Li Su, Qingming Huang |
| 2022 | A Speech-driven Sign Language Avatar Animation System for Hearing Impaired Applications. Li Hu, Jiahui Li, Jiashuo Zhang, Qi Wang, Bang Zhang, Ping Tan |
| 2022 | A Strengthened Branch and Bound Algorithm for the Maximum Common (Connected) Subgraph Problem. Jianrong Zhou, Kun He, Jiongzhi Zheng, Chu-Min Li, Yanli Liu |
| 2022 | A Survey of Machine Narrative Reading Comprehension Assessments. Yisi Sang, Xiangyang Mou, Jing Li, Jeffrey M. Stanton, Mo Yu |
| 2022 | A Survey of Risk-Aware Multi-Armed Bandits. Vincent Y. F. Tan, Prashanth L. A., Krishna P. Jagannathan |
| 2022 | A Survey of Vision-Language Pre-Trained Models. Yifan Du, Zikang Liu, Junyi Li, Wayne Xin Zhao |
| 2022 | A Survey on Dialogue Summarization: Recent Advances and New Frontiers. Xiachong Feng, Xiaocheng Feng, Bing Qin |
| 2022 | A Survey on Gradient Inversion: Attacks, Defenses and Future Directions. Rui Zhang, Song Guo, Junxiao Wang, Xin Xie, Dacheng Tao |
| 2022 | A Survey on Machine Learning Approaches for Modelling Intuitive Physics. Jiafei Duan, Arijit Dasgupta, Jason Fischer, Cheston Tan |
| 2022 | A Survey on Neural Open Information Extraction: Current Status and Future Directions. Shaowen Zhou, Bowen Yu, Aixin Sun, Cheng Long, Jingyang Li, Jian Sun |
| 2022 | A Survey on Word Meta-Embedding Learning. Danushka Bollegala, James O'Neill |
| 2022 | A Theoretical Perspective on Hyperdimensional Computing (Extended Abstract). Anthony Thomas, Sanjoy Dasgupta, Tajana Rosing |
| 2022 | A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space. Thibault Simonetto, Salijona Dyrmishi, Salah Ghamizi, Maxime Cordy, Yves Le Traon |
| 2022 | A Unified Framework for Intrinsic Evaluation of Word-Embedding Algorithms. Anna Giabelli |
| 2022 | A Unified Meta-Learning Framework for Dynamic Transfer Learning. Jun Wu, Jingrui He |
| 2022 | A Unified Strategy for Multilingual Grammatical Error Correction with Pre-trained Cross-Lingual Language Model. Xin Sun, Tao Ge, Shuming Ma, Jingjing Li, Furu Wei, Houfeng Wang |
| 2022 | A Unified View of Relational Deep Learning for Drug Pair Scoring. Benedek Rozemberczki, Stephen Bonner, Andriy Nikolov, Michaël Ughetto, Sebastian Nilsson, Eliseo Papa |
| 2022 | A Universal PINNs Method for Solving Partial Differential Equations with a Point Source. Xiang Huang, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Bin Dong, Lei Chen |
| 2022 | A Weighting-Based Tabu Search Algorithm for the p-Next Center Problem. Qingyun Zhang, Zhouxing Su, Zhipeng Lü, Lingxiao Yang |
| 2022 | A norm optimisation approach to SDGs: tackling poverty by acting on discrimination. Georgina Curto, Nieves Montes, Carles Sierra, Nardine Osman, Flavio Comim |
| 2022 | ACTA 2.0: A Modular Architecture for Multi-Layer Argumentative Analysis of Clinical Trials. Benjamin Molinet, Santiago Marro, Elena Cabrio, Serena Villata, Tobias Mayer |
| 2022 | ADVISER: AI-Driven Vaccination Intervention Optimiser for Increasing Vaccine Uptake in Nigeria. Vineet Nair, Kritika Prakash, Michael Wilbur, Aparna Taneja, Corinne Namblard, Oyindamola Adeyemo, Abhishek Dubey, Abiodun Adereni, Milind Tambe, Ayan Mukhopadhyay |
| 2022 | AI Facilitated Isolations? The Impact of Recommendation-based Influence Diffusion in Human Society. Yuxuan Hu, Shiqing Wu, Chenting Jiang, Weihua Li, Quan Bai, Erin Roehrer |
| 2022 | AMICA: An Argumentative Search Engine for COVID-19 Literature. Marco Lippi, Francesco Antici, Gianfranco Brambilla, Evaristo Cisbani, Andrea Galassi, Daniele Giansanti, Fabio Magurano, Antonella Rosi, Federico Ruggeri, Paolo Torroni |
| 2022 | AQT: Adversarial Query Transformers for Domain Adaptive Object Detection. Wei-Jie Huang, Yu-Lin Lu, Shih-Yao Lin, Yusheng Xie, Yen-Yu Lin |
| 2022 | ARCANE: An Efficient Architecture for Exact Machine Unlearning. Haonan Yan, Xiaoguang Li, Ziyao Guo, Hui Li, Fenghua Li, Xiaodong Lin |
| 2022 | Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information. Guanchun Wang, Xiangrong Zhang, Zelin Peng, Xu Tang, Huiyu Zhou, Licheng Jiao |
| 2022 | Abstract Argumentation Frameworks with Marginal Probabilities. Bettina Fazzinga, Sergio Flesca, Filippo Furfaro |
| 2022 | Abstract Rule Learning for Paraphrase Generation. Xianggen Liu, Wenqiang Lei, Jiancheng Lv, Jizhe Zhou |
| 2022 | Abstraction for Deep Reinforcement Learning. Murray Shanahan, Melanie Mitchell |
| 2022 | Abstraction for Non-Ground Answer Set Programs (Extended Abstract). Zeynep G. Saribatur, Thomas Eiter, Peter Schüller |
| 2022 | Abstraction in Data-Sparse Task Transfer (Extended Abstract). Tesca Fitzgerald, Ashok K. Goel, Andrea Thomaz |
| 2022 | Accelerated Multiplicative Weights Update Avoids Saddle Points Almost Always. Yi Feng, Ioannis Panageas, Xiao Wang |
| 2022 | Achieving Envy-Freeness with Limited Subsidies under Dichotomous Valuations. Siddharth Barman, Anand Krishna, Yadati Narahari, Soumyarup Sadhukhan |
| 2022 | Active Contrastive Set Mining for Robust Audio-Visual Instance Discrimination. Hanyu Xuan, Yihong Xu, Shuo Chen, Zhiliang Wu, Jian Yang, Yan Yan, Xavier Alameda-Pineda |
| 2022 | AdMix: A Mixed Sample Data Augmentation Method for Neural Machine Translation. Chang Jin, Shigui Qiu, Nini Xiao, Hao Jia |
| 2022 | Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning. Jun Luo, Shandong Wu |
| 2022 | Adaptive Artificial Intelligence Scheduling Methods for Large-Scale, Stochastic, Industrial Applications. Pierre Tassel |
| 2022 | Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction. Hong Wang, Yuexiang Li, Deyu Meng, Yefeng Zheng |
| 2022 | Adaptive Information Belief Space Planning. Moran Barenboim, Vadim Indelman |
| 2022 | Adaptive Long-Short Pattern Transformer for Stock Investment Selection. Heyuan Wang, Tengjiao Wang, Shun Li, Jiayi Zheng, Shijie Guan, Wei Chen |
| 2022 | Adversarial Bi-Regressor Network for Domain Adaptive Regression. Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Zhengming Ding |
| 2022 | Adversarial Explanations for Knowledge Graph Embeddings. Patrick Betz, Christian Meilicke, Heiner Stuckenschmidt |
| 2022 | AggPose: Deep Aggregation Vision Transformer for Infant Pose Estimation. Xu Cao, Xiaoye Li, Liya Ma, Yi Huang, Xuan Feng, Zening Chen, Hongwu Zeng, Jianguo Cao |
| 2022 | AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition. Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Chen Zhen, Tianming Liu, Sheng Li |
| 2022 | AllSATCC: Boosting AllSAT Solving with Efficient Component Analysis. Jiaxin Liang, Feifei Ma, Junping Zhou, Minghao Yin |
| 2022 | Allocating Opportunities in a Dynamic Model of Intergenerational Mobility (Extended Abstract). Hoda Heidari, Jon M. Kleinberg |
| 2022 | Am I No Good? Towards Detecting Perceived Burdensomeness and Thwarted Belongingness from Suicide Notes. Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya |
| 2022 | Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning. Shiyu Xia, Jiaqi Lv, Ning Xu, Xin Geng |
| 2022 | An Analysis of the Linear Bilateral ANAC Domains Using the MiCRO Benchmark Strategy. Dave de Jonge |
| 2022 | An EF2X Allocation Protocol for Restricted Additive Valuations. Hannaneh Akrami, Rojin Rezvan, Masoud Seddighin |
| 2022 | An Efficient Approach to Data Transfer Scheduling for Long Range Space Exploration. Emmanuel Hebrard, Christian Artigues, Pierre Lopez, Arnaud Lusson, Steve A. Chien, Adrien Maillard, Gregg R. Rabideau |
| 2022 | An Exact MaxSAT Algorithm: Further Observations and Further Improvements. Mingyu Xiao |
| 2022 | An Online Learning Approach towards Far-sighted Emergency Relief Planning under Intentional Attacks in Conflict Areas. Haoyu Yang, Kaiming Xiao, Lihua Liu, Hongbin Huang, Weiming Zhang |
| 2022 | Analyzing and Designing Strategic Environments in Social Domains. Hau Chan |
| 2022 | Ancestral Instrument Method for Causal Inference without Complete Knowledge. Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu |
| 2022 | Anchors Selection for Cross-lingual Embedding Alignment through Time. Filippo Pallucchini |
| 2022 | Annotated Sequent Calculi for Paraconsistent Reasoning and Their Relations to Logical Argumentation. Ofer Arieli, Kees van Berkel, Christian Straßer |
| 2022 | Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs. Bowen Tian, Qinliang Su, Jian Yin |
| 2022 | Anomaly Explanation. Véronne Yepmo |
| 2022 | Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-aware Perturbations. Run Wang, Ziheng Huang, Zhikai Chen, Li Liu, Jing Chen, Lina Wang |
| 2022 | Anytime Capacity Expansion in Medical Residency Match by Monte Carlo Tree Search. Kenshi Abe, Junpei Komiyama, Atsushi Iwasaki |
| 2022 | Application of Neurosymbolic AI to Sequential Decision Making. Carlos Núñez-Molina |
| 2022 | Approval with Runoff. Théo Delemazure, Jérôme Lang, Jean-François Laslier, M. Remzi Sanver |
| 2022 | Approximate Exploitability: Learning a Best Response. Finbarr Timbers, Nolan Bard, Edward Lockhart, Marc Lanctot, Martin Schmid, Neil Burch, Julian Schrittwieser, Thomas Hubert, Michael Bowling |
| 2022 | Approximate Strategyproof Mechanisms for the Additively Separable Group Activity Selection Problem. Michele Flammini, Giovanna Varricchio |
| 2022 | Approximately EFX Allocations for Indivisible Chores. Shengwei Zhou, Xiaowei Wu |
| 2022 | Argo: Towards Small Vessel Detection for Humanitarian Purposes. Elisabeth Moser, Selina Meyer, Maximilian Schmidhuber, Daniel Ketterer, Matthias Eberhardt |
| 2022 | Art Creation with Multi-Conditional StyleGANs. Konstantin Dobler, Florian Hübscher, Jan Westphal, Alejandro Sierra Múnera, Gerard de Melo, Ralf Krestel |
| 2022 | Aspect-based Sentiment Analysis with Opinion Tree Generation. Xiaoyi Bao, Zhongqing Wang, Xiaotong Jiang, Rong Xiao, Shoushan Li |
| 2022 | Asymmetric Hybrids: Dialogues for Computational Concept Combination (Extended Abstract). Guendalina Righetti, Daniele Porello, Nicolas Troquard, Oliver Kutz, Maria M. Hedblom, Pietro Galliani |
| 2022 | AttExplainer: Explain Transformer via Attention by Reinforcement Learning. Runliang Niu, Zhepei Wei, Yan Wang, Qi Wang |
| 2022 | Attention-guided Contrastive Hashing for Long-tailed Image Retrieval. Xuan Kou, Chenghao Xu, Xu Yang, Cheng Deng |
| 2022 | Attributed Graph Clustering with Dual Redundancy Reduction. Lei Gong, Sihang Zhou, Wenxuan Tu, Xinwang Liu |
| 2022 | Augmenting Anchors by the Detector Itself. Xiaopei Wan, Guoqiu Li, Yujiu Yang, Zhenhua Guo |
| 2022 | Augmenting Knowledge Graphs for Better Link Prediction. Jiang Wang, Filip Ilievski, Pedro A. Szekely, Ke-Thia Yao |
| 2022 | AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection. Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang, Feng Zhao, Bolei Zhou, Hang Zhao |
| 2022 | AutoVideo: An Automated Video Action Recognition System. Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, Jiaben Chen, Kwei-Herng Lai, Mohammad Qazim Bhat, Anmoll Kumar Jain, Alfredo Costilla-Reyes, Na Zou, Xia Hu |
| 2022 | Automated Program Analysis: Revisiting Precondition Inference through Constraint Acquisition. Grégoire Menguy, Sébastien Bardin, Nadjib Lazaar, Arnaud Gotlieb |
| 2022 | Automated Sifting of Stories from Simulated Storyworlds. Wilkins Leong, Julie Porteous, John Thangarajah |
| 2022 | Automated Synthesis of Mechanisms. Munyque Mittelmann, Bastien Maubert, Aniello Murano, Laurent Perrussel |
| 2022 | Automatic Multimodal Emotion Recognition Using Facial Expression, Voice, and Text. Hélène Tran |
| 2022 | Automatic Noisy Label Correction for Fine-Grained Entity Typing. Weiran Pan, Wei Wei, Feida Zhu |
| 2022 | Automatic Recognition of Emotional Subgroups in Images. Emmeke Veltmeijer, Charlotte Gerritsen, Koen V. Hindriks |
| 2022 | Automatically Gating Multi-Frequency Patterns through Rectified Continuous Bernoulli Units with Theoretical Principles. Zheng-Fan Wu, Yi-Nan Feng, Hui Xue |
| 2022 | Axiomatic Foundations of Explainability. Leila Amgoud, Jonathan Ben-Naim |
| 2022 | BandMaxSAT: A Local Search MaxSAT Solver with Multi-armed Bandit. Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-Min Li, Felip Manyà |
| 2022 | BayCon: Model-agnostic Bayesian Counterfactual Generator. Piotr Romashov, Martin Gjoreski, Kacper Sokol, Maria Vanina Martinez, Marc Langheinrich |
| 2022 | Bayesian Auctions with Efficient Queries (Extended Abstract). Jing Chen, Bo Li, Yingkai Li, Pinyan Lu |
| 2022 | Best Heuristic Identification for Constraint Satisfaction. Frédéric Koriche, Christophe Lecoutre, Anastasia Paparrizou, Hugues Wattez |
| 2022 | Better Collective Decisions via Uncertainty Reduction. Shiri Alouf-Heffetz, Laurent Bulteau, Edith Elkind, Nimrod Talmon, Nicholas Teh |
| 2022 | Better Embedding and More Shots for Few-shot Learning. Ziqiu Chi, Zhe Wang, Mengping Yang, Wei Guo, Xinlei Xu |
| 2022 | Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network. Yifei Sun, Haoran Deng, Yang Yang, Chunping Wang, Jiarong Xu, Renhong Huang, Linfeng Cao, Yang Wang, Lei Chen |
| 2022 | Beyond Strong-Cyclic: Doing Your Best in Stochastic Environments. Benjamin Aminof, Giuseppe De Giacomo, Sasha Rubin, Florian Zuleger |
| 2022 | Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation. Chunbo Lang, Binfei Tu, Gong Cheng, Junwei Han |
| 2022 | BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation. Zelin Xu, Yichen Zhang, Ke Chen, Kui Jia |
| 2022 | BiFSMN: Binary Neural Network for Keyword Spotting. Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Yao Tian, Zejun Ma, Jie Luo, Xianglong Liu |
| 2022 | Biased Majority Opinion Dynamics: Exploiting Graph k-domination. Hicham Lesfari, Frédéric Giroire, Stéphane Pérennes |
| 2022 | Biological Instance Segmentation with a Superpixel-Guided Graph. Xiaoyu Liu, Wei Huang, Yueyi Zhang, Zhiwei Xiong |
| 2022 | Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics (Extended Abstract). Matús Tomlein, Branislav Pecher, Jakub Simko, Ivan Srba, Róbert Móro, Elena Stefancova, Michal Kompan, Andrea Hrckova, Juraj Podrouzek, Mária Bieliková |
| 2022 | Body-Decoupled Grounding via Solving: A Novel Approach on the ASP Bottleneck. Viktor Besin, Markus Hecher, Stefan Woltran |
| 2022 | Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation. Jiazhi Xu, Sheng Huang, Fengtao Zhou, Luwen Huangfu, Daniel Zeng, Bo Liu |
| 2022 | Bootstrapping Informative Graph Augmentation via A Meta Learning Approach. Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Fuchun Sun, Changwen Zheng |
| 2022 | Boundary-Guided Camouflaged Object Detection. Yujia Sun, Shuo Wang, Chenglizhao Chen, Tian-Zhu Xiang |
| 2022 | Bounded Memory Adversarial Bandits with Composite Anonymous Delayed Feedback. Zongqi Wan, Xiaoming Sun, Jialin Zhang |
| 2022 | Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation. Heng Zhu, Qing Ling |
| 2022 | Bridging the Gap between Reality and Ideality of Entity Matching: A Revisting and Benchmark Re-Constrcution. Tianshu Wang, Hongyu Lin, Cheng Fu, Xianpei Han, Le Sun, Feiyu Xiong, Hui Chen, Minlong Lu, Xiuwen Zhu |
| 2022 | Budgeted Sequence Submodular Maximization. Xuefeng Chen, Liang Feng, Xin Cao, Yifeng Zeng, Yaqing Hou |
| 2022 | Building a Visual Semantics Aware Object Hierarchy. Xiaolei Diao |
| 2022 | C3-STISR: Scene Text Image Super-resolution with Triple Clues. Minyi Zhao, Miao Wang, Fan Bai, Bingjia Li, Jie Wang, Shuigeng Zhou |
| 2022 | CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias. Ailin Deng, Adam Goodge, Lang Yi Ang, Bryan Hooi |
| 2022 | CARBEN: Composite Adversarial Robustness Benchmark. Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho |
| 2022 | CARD: Semi-supervised Semantic Segmentation via Class-agnostic Relation based Denoising. Xiaoyang Wang, Jimin Xiao, Bingfeng Zhang, Limin Yu |
| 2022 | CAT: Customized Adversarial Training for Improved Robustness. Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit S. Dhillon, Cho-Jui Hsieh |
| 2022 | CATrans: Context and Affinity Transformer for Few-Shot Segmentation. Shan Zhang, Tianyi Wu, Sitong Wu, Guodong Guo |
| 2022 | CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning. Chenyu Sun, Hangwei Qian, Chunyan Miao |
| 2022 | CERT: Continual Pre-training on Sketches for Library-oriented Code Generation. Daoguang Zan, Bei Chen, Dejian Yang, Zeqi Lin, Minsu Kim, Bei Guan, Yongji Wang, Weizhu Chen, Jian-Guang Lou |
| 2022 | CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning. Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan |
| 2022 | COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence. Andrew McDonald, Pang-Ning Tan, Lifeng Luo |
| 2022 | CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for Single-Corpus and Cross-Corpus Speech Emotion Recognition. Xin-Cheng Wen, Jiaxin Ye, Yan Luo, Yong Xu, Xuan-Ze Wang, Chang-Li Wu, Kun-Hong Liu |
| 2022 | CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction. Jiaju Lin, Qin Chen, Jie Zhou, Jian Jin, Liang He |
| 2022 | Can Abnormality be Detected by Graph Neural Networks? Ziwei Chai, Siqi You, Yang Yang, Shiliang Pu, Jiarong Xu, Haoyang Cai, Weihao Jiang |
| 2022 | Can Buyers Reveal for a Better Deal? Daniel Halpern, Gregory Kehne, Jamie Tucker-Foltz |
| 2022 | Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks? Hwanil Choi, Wonjoon Chang, Jaesik Choi |
| 2022 | Captioning Bosch: A Twitter Bot. Cornelia Ferner |
| 2022 | Capturing Homomorphism-Closed Decidable Queries with Existential Rules (Extended Abstract). Camille Bourgaux, David Carral, Markus Krötzsch, Sebastian Rudolph, Michaël Thomazo |
| 2022 | CauAIN: Causal Aware Interaction Network for Emotion Recognition in Conversations. Weixiang Zhao, Yanyan Zhao, Xin Lu |
| 2022 | Causes of Effects: Learning Individual Responses from Population Data. Scott Mueller, Ang Li, Judea Pearl |
| 2022 | Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations. Nikita Muravev, Aleksandr Petiushko |
| 2022 | Charge Prediction by Constitutive Elements Matching of Crimes. Jie Zhao, Ziyu Guan, Cai Xu, Wei Zhao, Enze Chen |
| 2022 | ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing. Christoph Reinders, Frederik Schubert, Bodo Rosenhahn |
| 2022 | Chronic Disease Management with Personalized Lab Test Response Prediction. Suman Bhoi, Mong-Li Lee, Wynne Hsu, Andrew Hao Sen Fang, Ngiap Chuan Tan |
| 2022 | Clickbait Detection via Contrastive Variational Modelling of Text and Label. Xiaoyuan Yi, Jiarui Zhang, Wenhao Li, Xiting Wang, Xing Xie |
| 2022 | Climate Bot: A Machine Reading Comprehension System for Climate Change Question Answering. Md. Rashad Al Hasan Rony, Ying Zuo, Liubov Kovriguina, Roman Teucher, Jens Lehmann |
| 2022 | Cluster Attack: Query-based Adversarial Attacks on Graph with Graph-Dependent Priors. Zhengyi Wang, Zhongkai Hao, Ziqiao Wang, Hang Su, Jun Zhu |
| 2022 | Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts. Prathamesh Deshpande, Sunita Sarawagi |
| 2022 | Combining Clause Learning and Branch and Bound for MaxSAT (Extended Abstract). Chu-Min Li, Zhenxing Xu, Jordi Coll, Felip Manyà, Djamal Habet, Kun He |
| 2022 | Combining Constraint Solving and Bayesian Techniques for System Optimization. Franz Brauße, Zurab Khasidashvili, Konstantin Korovin |
| 2022 | Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction. Jiahua Rao, Shuangjia Zheng, Sijie Mai, Yuedong Yang |
| 2022 | Community Question Answering Entity Linking via Leveraging Auxiliary Data. Yuhan Li, Wei Shen, Jianbo Gao, Yadong Wang |
| 2022 | Comparison Knowledge Translation for Generalizable Image Classification. Zunlei Feng, Tian Qiu, Sai Wu, Xiaotuan Jin, Zengliang He, Mingli Song, Huiqiong Wang |
| 2022 | Competitive Analysis for Multi-Commodity Ski-Rental Problem. Binghan Wu, Wei Bao, Dong Yuan, Bing Zhou |
| 2022 | Completeness and Diversity in Depth-First Proof-Number Search with Applications to Retrosynthesis. Christopher Franz, Georg Mogk, Thomas Mrziglod, Kevin Schewior |
| 2022 | Complex Query Answering with Neural Link Predictors (Extended Abstract). Pasquale Minervini, Erik Arakelyan, Daniel Daza, Michael Cochez |
| 2022 | Composing Neural Learning and Symbolic Reasoning with an Application to Visual Discrimination. Adithya Murali, Atharva Sehgal, Paul Krogmeier, P. Madhusudan |
| 2022 | Composition-aware Graphic Layout GAN for Visual-Textual Presentation Designs. Min Zhou, Chenchen Xu, Ye Ma, Tiezheng Ge, Yuning Jiang, Weiwei Xu |
| 2022 | Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness (Extended Abstract). Harrie Oosterhuis |
| 2022 | Computing Concept Referring Expressions for Queries on Horn ALC Ontologies. Moritz Illich, Birte Glimm |
| 2022 | Computing Programs for Generalized Planning as Heuristic Search (Extended Abstract). Javier Segovia-Aguas, Sergio Jiménez Celorrio, Anders Jonsson |
| 2022 | Conditional Independence for Iterated Belief Revision. Gabriele Kern-Isberner, Jesse Heyninck, Christoph Beierle |
| 2022 | Considering Constraint Monotonicity and Foundedness in Answer Set Programming. Yi-Dong Shen, Thomas Eiter |
| 2022 | Constrained Adaptive Projection with Pretrained Features for Anomaly Detection. Xingtai Gui, Di Wu, Yang Chang, Shicai Fan |
| 2022 | Contests to Incentivize a Target Group. Edith Elkind, Abheek Ghosh, Paul W. Goldberg |
| 2022 | Continual Federated Learning Based on Knowledge Distillation. Yuhang Ma, Zhongle Xie, Jue Wang, Ke Chen, Lidan Shou |
| 2022 | Continual Semantic Segmentation Leveraging Image-level Labels and Rehearsal. Mathieu Pagé Fortin, Brahim Chaib-draa |
| 2022 | Contrastive Graph Transformer Network for Personality Detection. Yangfu Zhu, Linmei Hu, Xinkai Ge, Wanrong Peng, Bin Wu |
| 2022 | Contrastive Multi-view Hyperbolic Hierarchical Clustering. Fangfei Lin, Bing Bai, Kun Bai, Yazhou Ren, Peng Zhao, Zenglin Xu |
| 2022 | Control Globally, Understand Locally: A Global-to-Local Hierarchical Graph Network for Emotional Support Conversation. Wei Peng, Yue Hu, Luxi Xing, Yuqiang Xie, Yajing Sun, Yunpeng Li |
| 2022 | Controllable Text Generation for Open-Domain Creativity and Fairness. Nanyun (Violet) Peng |
| 2022 | Conversational Inequality Through the Lens of Political Interruption. Clay H. Yoo, Jiachen Wang, Yuxi Luo, Kunal Khadilkar, Ashiqur R. KhudaBukhsh |
| 2022 | Conversational Semantic Role Labeling with Predicate-Oriented Latent Graph. Hao Fei, Shengqiong Wu, Meishan Zhang, Yafeng Ren, Donghong Ji |
| 2022 | Copy Motion From One to Another: Fake Motion Video Generation. Zhenguang Liu, Sifan Wu, Chejian Xu, Xiang Wang, Lei Zhu, Shuang Wu, Fuli Feng |
| 2022 | Corner Affinity: A Robust Grouping Algorithm to Make Corner-guided Detector Great Again. Haoran Wei, Chenglong Liu, Ping Guo, Yangguang Zhu, Jiamei Fu, Bing Wang, Peng Wang |
| 2022 | Correlation-Based Algorithm for Team-Maxmin Equilibrium in Multiplayer Extensive-Form Games. Youzhi Zhang, Bo An, V. S. Subrahmanian |
| 2022 | Cost Ensemble with Gradient Selecting for GANs. Minghui Liu, Jiali Deng, Meiyi Yang, Xuan Cheng, Nianbo Liu, Ming Liu, Xiaomin Wang |
| 2022 | CounterGeDi: A Controllable Approach to Generate Polite, Detoxified and Emotional Counterspeech. Punyajoy Saha, Kanishk Singh, Adarsh Kumar, Binny Mathew, Animesh Mukherjee |
| 2022 | Counterfactual Interpolation Augmentation (CIA): A Unified Approach to Enhance Fairness and Explainability of DNN. Yao Qiang, Chengyin Li, Marco Brocanelli, Dongxiao Zhu |
| 2022 | Counting, Sampling, and Synthesis: The Quest for Scalability. Kuldeep S. Meel |
| 2022 | Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All. Eirik Lund Flogard, Ole Jakob Mengshoel, Kerstin Bach |
| 2022 | Cross-modal Representation Learning and Relation Reasoning for Bidirectional Adaptive Manipulation. Lei Li, Kai Fan, Chun Yuan |
| 2022 | Crowd, Expert & AI: A Human-AI Interactive Approach Towards Natural Language Explanation Based COVID-19 Misinformation Detection. Ziyi Kou, Lanyu Shang, Yang Zhang, Zhenrui Yue, Huimin Zeng, Dong Wang |
| 2022 | CrowdFormer: An Overlap Patching Vision Transformer for Top-Down Crowd Counting. Shaopeng Yang, Weiyu Guo, Yuheng Ren |
| 2022 | Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction. Takayuki Katsuki, Kohei Miyaguchi, Akira Koseki, Toshiya Iwamori, Ryosuke Yanagiya, Atsushi Suzuki |
| 2022 | Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation. Pei Ke, Haozhe Ji, Zhenyu Yang, Yi Huang, Junlan Feng, Xiaoyan Zhu, Minlie Huang |
| 2022 | D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion Prediction. Tingyu Fan, Linyao Gao, Yiling Xu, Zhu Li, Dong Wang |
| 2022 | DANet: Image Deraining via Dynamic Association Learning. Kui Jiang, Zhongyuan Wang, Zheng Wang, Peng Yi, Junjun Jiang, Jinsheng Xiao, Chia-Wen Lin |
| 2022 | DDDM: A Brain-Inspired Framework for Robust Classification. Xiyuan Chen, Xingyu Li, Yi Zhou, Tianming Yang |
| 2022 | DPSampler: Exact Weighted Sampling Using Dynamic Programming. Jeffrey M. Dudek, Aditya A. Shrotri, Moshe Y. Vardi |
| 2022 | DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework. Chao Zhang, Zhijian Li, Xin Du, Hui Qian |
| 2022 | Data Augmentation for Learning to Play in Text-Based Games. Jinhyeon Kim, Kee-Eung Kim |
| 2022 | Data Valuation in Machine Learning: "Ingredients", Strategies, and Open Challenges. Rachael Hwee Ling Sim, Xinyi Xu, Bryan Kian Hsiang Low |
| 2022 | Data-Efficient Algorithms and Neural Natural Language Processing: Applications in the Healthcare Domain. Heereen Shim |
| 2022 | Data-Efficient Backdoor Attacks. Pengfei Xia, Ziqiang Li, Wei Zhang, Bin Li |
| 2022 | Data-Free Adversarial Knowledge Distillation for Graph Neural Networks. Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun |
| 2022 | Dataset Augmentation in Papyrology with Generative Models: A Study of Synthetic Ancient Greek Character Images. Matthew I. Swindall, Timothy Player, Ben Keener, Alex C. Williams, James H. Brusuelas, Federica Nicolardi, Marzia D'Angelo, Claudio Vergara, Michael McOsker, John F. Wallin |
| 2022 | Decentralized Autonomous Organizations and Multi-agent Systems for Artificial Intelligence Applications and Data Analysis. Sante Dino Facchini |
| 2022 | Decentralized Unsupervised Learning of Visual Representations. Yawen Wu, Zhepeng Wang, Dewen Zeng, Meng Li, Yiyu Shi, Jingtong Hu |
| 2022 | Deciphering Environmental Air Pollution with Large Scale City Data. Mayukh Bhattacharyya, Sayan Nag, Udita Ghosh |
| 2022 | Declaration-based Prompt Tuning for Visual Question Answering. Yuhang Liu, Wei Wei, Daowan Peng, Feida Zhu |
| 2022 | Decomposition Methods for Solving Scheduling Problem Using Answer Set Programming. Mohammed M. S. El-Kholany |
| 2022 | Deep Cooperation of CDCL and Local Search for SAT (Extended Abstract). Shaowei Cai, Xindi Zhang |
| 2022 | Deep Graph Matching for Partial Label Learning. Gengyu Lyu, Yanan Wu, Songhe Feng |
| 2022 | Deep Interactive Surface Creation from 3D Sketch Strokes. Sukanya Bhattacharjee, Parag Chaudhuri |
| 2022 | Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code. Changan Niu, Chuanyi Li, Bin Luo, Vincent Ng |
| 2022 | Deep Learning with Logical Constraints. Eleonora Giunchiglia, Mihaela Catalina Stoian, Thomas Lukasiewicz |
| 2022 | Deep Video Harmonization With Color Mapping Consistency. Xinyuan Lu, Shengyuan Huang, Li Niu, Wenyan Cong, Liqing Zhang |
| 2022 | DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data. Asadullah Hill Galib, Andrew McDonald, Tyler Wilson, Lifeng Luo, Pang-Ning Tan |
| 2022 | Deexaggeration. Li Kong, Chuanyi Li, Vincent Ng |
| 2022 | Degradation Accordant Plug-and-Play for Low-Rank Tensor Completion. Yexun Hu, Tai-Xiang Jiang, Xi-Le Zhao |
| 2022 | Detect, Understand, Act: A Neuro-Symbolic Hierarchical Reinforcement Learning Framework (Extended Abstract). Ludovico Mitchener, David Tuckey, Matthew Crosby, Alessandra Russo |
| 2022 | Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network. Manoj Acharya, Anirban Roy, Kaushik Koneripalli, Susmit Jha, Christopher Kanan, Ajay Divakaran |
| 2022 | Detecting and Understanding Harmful Memes: A Survey. Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Y. Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty |
| 2022 | DiRe Committee : Diversity and Representation Constraints in Multiwinner Elections. Kunal Relia |
| 2022 | DictBERT: Dictionary Description Knowledge Enhanced Language Model Pre-training via Contrastive Learning. Qianglong Chen, Feng-Lin Li, Guohai Xu, Ming Yan, Ji Zhang, Yin Zhang |
| 2022 | Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey. Ferdinando Fioretto, Cuong Tran, Pascal Van Hentenryck, Keyu Zhu |
| 2022 | Diffusion Incentives in Cooperative Games. Yao Zhang |
| 2022 | Dimensional Inconsistency Measures and Postulates in Spatio-Temporal Databases (Extended Abstract). John Grant, Maria Vanina Martinez, Cristian Molinaro, Francesco Parisi |
| 2022 | Discrete Listwise Personalized Ranking for Fast Top-N Recommendation with Implicit Feedback. Fangyuan Luo, Jun Wu, Tao Wang |
| 2022 | Disentangling the Computational Complexity of Network Untangling. Vincent Froese, Pascal Kunz, Philipp Zschoche |
| 2022 | Displaying Justifications for Collective Decisions. Arthur Boixel, Ulle Endriss, Oliviero Nardi |
| 2022 | Distilling Governing Laws and Source Input for Dynamical Systems from Videos. Lele Luan, Yang Liu, Hao Sun |
| 2022 | Distilling Inter-Class Distance for Semantic Segmentation. Zhengbo Zhang, Chunluan Zhou, Zhigang Tu |
| 2022 | Distortion in Voting with Top-t Preferences. Allan Borodin, Daniel Halpern, Mohamad Latifian, Nisarg Shah |
| 2022 | Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation. Qun Li, Ziyi Zhang, Fu Xiao, Feng Zhang, Bir Bhanu |
| 2022 | DivSwapper: Towards Diversified Patch-based Arbitrary Style Transfer. Zhizhong Wang, Lei Zhao, Haibo Chen, Zhiwen Zuo, Ailin Li, Wei Xing, Dongming Lu |
| 2022 | Diversity Features Enhanced Prototypical Network for Few-shot Intent Detection. Fengyi Yang, Xi Zhou, Yi Wang, Abibulla Atawulla, Ran Bi |
| 2022 | Document-level Event Factuality Identification via Reinforced Multi-Granularity Hierarchical Attention Networks. Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou |
| 2022 | Document-level Relation Extraction via Subgraph Reasoning. Xingyu Peng, Chong Zhang, Ke Xu |
| 2022 | Domain Adaptation via Maximizing Surrogate Mutual Information. Haiteng Zhao, Chang Ma, Qinyu Chen, Zhi-Hong Deng |
| 2022 | Domain Adversarial Learning for Color Constancy. Zhifeng Zhang, Xuejing Kang, Anlong Ming |
| 2022 | Domain Generalization through the Lens of Angular Invariance. Yujie Jin, Xu Chu, Yasha Wang, Wenwu Zhu |
| 2022 | Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data. Tian Li, Xiang Chen, Zhen Dong, Kurt Keutzer, Shanghang Zhang |
| 2022 | Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning. Zhecheng Yuan, Guozheng Ma, Yao Mu, Bo Xia, Bo Yuan, Xueqian Wang, Ping Luo, Huazhe Xu |
| 2022 | Double-Check Soft Teacher for Semi-Supervised Object Detection. Kuo Wang, Yuxiang Nie, Chaowei Fang, Chengzhi Han, Xuewen Wu, Xiaohui Wang, Liang Lin, Fan Zhou, Guanbin Li |
| 2022 | Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization. Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang |
| 2022 | DyGRAIN: An Incremental Learning Framework for Dynamic Graphs. Seoyoon Kim, Seongjun Yun, Jaewoo Kang |
| 2022 | Dynamic Bandits with Temporal Structure. Qinyi Chen |
| 2022 | Dynamic Car Dispatching and Pricing: Revenue and Fairness for Ridesharing Platforms. Zishuo Zhao, Xi Chen, Xuefeng Zhang, Yuan Zhou |
| 2022 | Dynamic Domain Generalization. Zhishu Sun, Zhifeng Shen, Luojun Lin, Yuanlong Yu, Zhifeng Yang, Shicai Yang, Weijie Chen |
| 2022 | Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction. Ruixing Zhang, Liangzhe Han, Boyi Liu, Jiayuan Zeng, Leilei Sun |
| 2022 | Dynamic Group Transformer: A General Vision Transformer Backbone with Dynamic Group Attention. Kai Liu, Tianyi Wu, Cong Liu, Guodong Guo |
| 2022 | Dynamic Sparse Training for Deep Reinforcement Learning. Ghada Sokar, Elena Mocanu, Decebal Constantin Mocanu, Mykola Pechenizkiy, Peter Stone |
| 2022 | Dynamic Structure Learning through Graph Neural Network for Forecasting Soil Moisture in Precision Agriculture. Anoushka Vyas, Sambaran Bandyopadhyay |
| 2022 | EGCN: An Ensemble-based Learning Framework for Exploring Effective Skeleton-based Rehabilitation Exercise Assessment. Bruce X. B. Yu, Yan Liu, Xiang Zhang, Gong Chen, Keith C. C. Chan |
| 2022 | EMGC²F: Efficient Multi-view Graph Clustering with Comprehensive Fusion. Danyang Wu, Jitao Lu, Feiping Nie, Rong Wang, Yuan Yuan |
| 2022 | ER-SAN: Enhanced-Adaptive Relation Self-Attention Network for Image Captioning. Jingyu Li, Zhendong Mao, Shancheng Fang, Hao Li |
| 2022 | Early Diagnosis of Lyme Disease by Recognizing Erythema Migrans Skin Lesion from Images Utilizing Deep Learning Techniques. Sk. Imran Hossain |
| 2022 | EditSinger: Zero-Shot Text-Based Singing Voice Editing System with Diverse Prosody Modeling. Lichao Zhang, Zhou Zhao, Yi Ren, Liqun Deng |
| 2022 | Effective Graph Context Representation for Document-level Machine Translation. Kehai Chen, Muyun Yang, Masao Utiyama, Eiichiro Sumita, Rui Wang, Min Zhang |
| 2022 | Efficient Algorithms for Monotone Non-Submodular Maximization with Partition Matroid Constraint. Lan N. Nguyen, My T. Thai |
| 2022 | Efficient Budgeted Graph Search. Jasmeet Kaur, Nathan R. Sturtevant |
| 2022 | Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph. Tong Zhu, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Min Zhang |
| 2022 | Efficient Multi-Agent Communication via Shapley Message Value. Di Xue, Lei Yuan, Zongzhang Zhang, Yang Yu |
| 2022 | Efficient Neural Neighborhood Search for Pickup and Delivery Problems. Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Hongliang Guo, Yuejiao Gong, Yeow Meng Chee |
| 2022 | Efficient Resource Allocation with Secretive Agents. Soroush Ebadian, Rupert Freeman, Nisarg Shah |
| 2022 | Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes. Yang Li, Yi Zeng |
| 2022 | Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation. Jun Xia, Ting Wang, Jiepin Ding, Xian Wei, Mingsong Chen |
| 2022 | Emotion-Controllable Generalized Talking Face Generation. Sanjana Sinha, Sandika Biswas, Ravindra Yadav, Brojeshwar Bhowmick |
| 2022 | Empirical Bayesian Approaches for Robust Constraint-based Causal Discovery under Insufficient Data. Zijun Cui, Naiyu Yin, Yuru wang, Qiang Ji |
| 2022 | Encoding Probabilistic Graphical Models into Stochastic Boolean Satisfiability. Cheng-Han Hsieh, Jie-Hong R. Jiang |
| 2022 | End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection. Tiancheng Huang, Donglin Wang, Yuan Fang, Zhengyu Chen |
| 2022 | Engineering Socially-Oriented Autonomous Agents and Multiagent Systems. Nieves Montes |
| 2022 | Enhancing Entity Representations with Prompt Learning for Biomedical Entity Linking. Tiantian Zhu, Yang Qin, Qingcai Chen, Baotian Hu, Yang Xiang |
| 2022 | Enhancing Sequential Recommendation with Graph Contrastive Learning. Yixin Zhang, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei, Wei He, Lizhen Cui, Chunyan Miao |
| 2022 | Enhancing Text Generation via Multi-Level Knowledge Aware Reasoning. Feiteng Mu, Wenjie Li |
| 2022 | Enhancing Unsupervised Domain Adaptation via Semantic Similarity Constraint for Medical Image Segmentation. Tao Hu, Shiliang Sun, Jing Zhao, Dongyu Shi |
| 2022 | Enhancing the Transferability of Adversarial Examples with Random Patch. Yaoyuan Zhang, Yu-an Tan, Tian Chen, Xinrui Liu, Quanxin Zhang, Yuanzhang Li |
| 2022 | Ensemble Multi-Relational Graph Neural Networks. Yuling Wang, Hao Xu, Yanhua Yu, Mengdi Zhang, Zhenhao Li, Yuji Yang, Wei Wu |
| 2022 | Entity Alignment with Reliable Path Reasoning and Relation-aware Heterogeneous Graph Transformer. Weishan Cai, Wenjun Ma, Jieyu Zhan, Yuncheng Jiang |
| 2022 | Entity-aware and Motion-aware Transformers for Language-driven Action Localization. Shuo Yang, Xinxiao Wu |
| 2022 | Environment Design for Biased Decision Makers. Guanghui Yu, Chien-Ju Ho |
| 2022 | Envy-Free and Pareto-Optimal Allocations for Agents with Asymmetric Random Valuations. Yushi Bai, Paul Gölz |
| 2022 | Epistemic Logic of Likelihood and Belief. James P. Delgrande, Joshua Sack, Gerhard Lakemeyer, Maurice Pagnucco |
| 2022 | Equilibria in Strategic Nominee Selection. Grzegorz Lisowski |
| 2022 | Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering. Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini |
| 2022 | Estimation and Comparison of Linear Regions for ReLU Networks. Yuan Wang |
| 2022 | Ethics and Governance of Artificial Intelligence: A Survey of Machine Learning Researchers (Extended Abstract). Baobao Zhang, Markus Anderljung, Lauren Kahn, Noemi Dreksler, Michael C. Horowitz, Allan Dafoe |
| 2022 | Evaluation Methods for Representation Learning: A Survey. Kento Nozawa, Issei Sato |
| 2022 | Event-driven Video Deblurring via Spatio-Temporal Relation-Aware Network. Chengzhi Cao, Xueyang Fu, Yurui Zhu, Gege Shi, Zheng-Jun Zha |
| 2022 | Evidential Reasoning and Learning: a Survey. Federico Cerutti, Lance M. Kaplan, Murat Sensoy |
| 2022 | Evolutionary Approach to Security Games with Signaling. Adam Zychowski, Jacek Mandziuk, Elizabeth Bondi, Aravind Venugopal, Milind Tambe, Balaraman Ravindran |
| 2022 | Exchangeability-Aware Sum-Product Networks. Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt |
| 2022 | Experimental Comparison and Survey of Twelve Time Series Anomaly Detection Algorithms (Extended Abstract). Cynthia Freeman, Jonathan Merriman, Ian Beaver, Abdullah Mueen |
| 2022 | ExplainIt!: A Tool for Computing Robust Attributions of DNNs. Sumit Kumar Jha, Alvaro Velasquez, Rickard Ewetz, Laura Pullum, Susmit Jha |
| 2022 | Explaining Preferences by Multiple Patterns in Voters' Behavior. Sonja Kraiczy, Edith Elkind |
| 2022 | Explaining Soft-Goal Conflicts through Constraint Relaxations. Rebecca Eifler, Jeremy Frank, Jörg Hoffmann |
| 2022 | Explaining the Behaviour of Hybrid Systems with PDDL+ Planning. Diego Aineto, Eva Onaindia, Miquel Ramírez, Enrico Scala, Ivan Serina |
| 2022 | Explanations for Negative Query Answers under Inconsistency-Tolerant Semantics. Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro |
| 2022 | Explicit Alignment Learning for Neural Machine Translation. Zuchao Li, Hai Zhao, Fengshun Xiao, Masao Utiyama, Eiichiro Sumita |
| 2022 | Exploring Binary Classification Hidden within Partial Label Learning. Hengheng Luo, Yabin Zhang, Suyun Zhao, Hong Chen, Cuiping Li |
| 2022 | Exploring Fourier Prior for Single Image Rain Removal. Xin Guo, Xueyang Fu, Man Zhou, Zhen Huang, Jialun Peng, Zheng-Jun Zha |
| 2022 | Exploring the Benefits of Teams in Multiagent Learning. David Radke, Kate Larson, Tim Brecht |
| 2022 | Exploring the Vulnerability of Deep Reinforcement Learning-based Emergency Control for Low Carbon Power Systems. Xu Wan, Lanting Zeng, Mingyang Sun |
| 2022 | Extending Decision Tree to Handle Multiple Fairness Criteria. Alessandro Castelnovo |
| 2022 | FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs. Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li |
| 2022 | FLS: A New Local Search Algorithm for K-means with Smaller Search Space. Junyu Huang, Qilong Feng, Ziyun Huang, Jinhui Xu, Jianxin Wang |
| 2022 | FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting. Xuan Rao, Hao Wang, Liang Zhang, Jing Li, Shuo Shang, Peng Han |
| 2022 | FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer. Yang Lin, Tianyu Zhang, Peiqin Sun, Zheng Li, Shuchang Zhou |
| 2022 | Fair Division of Indivisible Goods: A Survey. Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros A. Voudouris |
| 2022 | Fair Equilibria in Sponsored Search Auctions: The Advertisers' Perspective. Georgios Birmpas, Andrea Celli, Riccardo Colini-Baldeschi, Stefano Leonardi |
| 2022 | Fair, Individually Rational and Cheap Adjustment. Gleb Polevoy, Marcin Dziubinski |
| 2022 | Fairness without the Sensitive Attribute via Causal Variational Autoencoder. Vincent Grari, Sylvain Lamprier, Marcin Detyniecki |
| 2022 | Fallacious Argument Classification in Political Debates. Pierpaolo Goffredo, Shohreh Haddadan, Vorakit Vorakitphan, Elena Cabrio, Serena Villata |
| 2022 | Fast and Fine-grained Autoscaler for Streaming Jobs with Reinforcement Learning. Mingzhe Xing, Hangyu Mao, Zhen Xiao |
| 2022 | FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis. Rongjie Huang, Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu, Yi Ren, Zhou Zhao |
| 2022 | FastRE: Towards Fast Relation Extraction with Convolutional Encoder and Improved Cascade Binary Tagging Framework. Guozheng Li, Xu Chen, Peng Wang, Jiafeng Xie, Qiqing Luo |
| 2022 | Feature Dense Relevance Network for Single Image Dehazing. Yun Liang, Enze Huang, Zifeng Zhang, Zhuo Su, Dong Wang |
| 2022 | Feature and Instance Joint Selection: A Reinforcement Learning Perspective. Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu |
| 2022 | FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning. Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Lixin Fan, Rong Pan, Qiang Yang |
| 2022 | FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server. Hong Zhang, Ji Liu, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou |
| 2022 | Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features. Xinyi Shang, Yang Lu, Gang Huang, Hanzi Wang |
| 2022 | Federated Multi-Task Attention for Cross-Individual Human Activity Recognition. Qiang Shen, Haotian Feng, Rui Song, Stefano Teso, Fausto Giunchiglia, Hao Xu |
| 2022 | Few-Shot Adaptation of Pre-Trained Networks for Domain Shift. Wenyu Zhang, Li Shen, Wanyue Zhang, Chuan-Sheng Foo |
| 2022 | Few-Shot Learning on Graphs. Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu |
| 2022 | Filtration-Enhanced Graph Transformation. Zijian Chen, Rong-Hua Li, Hongchao Qin, Huanzhong Duan, Yanxiong Lu, Qiangqiang Dai, Guoren Wang |
| 2022 | Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport. Jiying Zhang, Xi Xiao, Long-Kai Huang, Yu Rong, Yatao Bian |
| 2022 | Fine-grained Complexity of Partial Minimum Satisfiability. Ivan Bliznets, Danil Sagunov, Kirill Simonov |
| 2022 | Fine-tuning Deep Neural Networks by Interactively Refining the 2D Latent Space of Ambiguous Images. Jiafu Wei, Haoran Xie, Chia-Ming Chang, Xi Yang |
| 2022 | Fixed-Budget Best-Arm Identification in Structured Bandits. Mohammad Javad Azizi, Branislav Kveton, Mohammad Ghavamzadeh |
| 2022 | Fixed-Budget Pure Exploration in Multinomial Logit Bandits. Boli Fang |
| 2022 | Fixing Knockout Tournaments With Seeds. Pasin Manurangsi, Warut Suksompong |
| 2022 | Forecasting Patient Outcomes in Kidney Exchange. Naveen Durvasula, Aravind Srinivasan, John P. Dickerson |
| 2022 | Forecasting the Number of Tenants At-Risk of Formal Eviction: A Machine Learning Approach to Inform Public Policy. Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, Dongwon Lee |
| 2022 | Forgiving Debt in Financial Network Games. Panagiotis Kanellopoulos, Maria Kyropoulou, Hao Zhou |
| 2022 | Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts. Patrick Hemmer, Sebastian Schellhammer, Michael Vössing, Johannes Jakubik, Gerhard Satzger |
| 2022 | Fourier Analysis-based Iterative Combinatorial Auctions. Jakob Weissteiner, Chris Wendler, Sven Seuken, Benjamin Lubin, Markus Püschel |
| 2022 | Frontiers and Exact Learning of ELI Queries under DL-Lite Ontologies. Maurice Funk, Jean Christoph Jung, Carsten Lutz |
| 2022 | Function-words Adaptively Enhanced Attention Networks for Few-Shot Inverse Relation Classification. Chunliu Dou, Shaojuan Wu, Xiaowang Zhang, Zhiyong Feng, Kewen Wang |
| 2022 | Fusion Label Enhancement for Multi-Label Learning. Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng |
| 2022 | GL-RG: Global-Local Representation Granularity for Video Captioning. Liqi Yan, Qifan Wang, Yiming Cui, Fuli Feng, Xiaojun Quan, Xiangyu Zhang, Dongfang Liu |
| 2022 | GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion. Chaoqi Yang, Cheng Qian, Jimeng Sun |
| 2022 | GRELEN: Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational Learning. Weiqi Zhang, Chen Zhang, Fugee Tsung |
| 2022 | Game Redesign in No-regret Game Playing. Yuzhe Ma, Young Wu, Xiaojin Zhu |
| 2022 | General Opinion Formation Games with Social Group Membership. Vittorio Bilò, Diodato Ferraioli, Cosimo Vinci |
| 2022 | General Optimization Framework for Recurrent Reachability Objectives. David Klaska, Antonín Kucera, Vít Musil, Vojtech Rehák |
| 2022 | Generalisation of Alpha-Beta Search for AND-OR Graphs With Partially Ordered Values. Junkang Li, Bruno Zanuttini, Tristan Cazenave, Véronique Ventos |
| 2022 | Generating a Structured Summary of Numerous Academic Papers: Dataset and Method. Shuaiqi Liu, Jiannong Cao, Ruosong Yang, Zhiyuan Wen |
| 2022 | Geometric Transformer for End-to-End Molecule Properties Prediction. Yoni Choukroun, Lior Wolf |
| 2022 | Gigs with Guarantees: Achieving Fair Wage for Food Delivery Workers. Ashish Nair, Rahul Yadav, Anjali Gupta, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi |
| 2022 | Global Inference with Explicit Syntactic and Discourse Structures for Dialogue-Level Relation Extraction. Hao Fei, Jingye Li, Shengqiong Wu, Chenliang Li, Donghong Ji, Fei Li |
| 2022 | Goal Consistency: An Effective Multi-Agent Cooperative Method for Multistage Tasks. Xinning Chen, Xuan Liu, Shigeng Zhang, Bo Ding, Kenli Li |
| 2022 | Goal-Conditioned Reinforcement Learning: Problems and Solutions. Minghuan Liu, Menghui Zhu, Weinan Zhang |
| 2022 | Grape: Grammar-Preserving Rule Embedding. Qihao Zhu, Zeyu Sun, Wenjie Zhang, Yingfei Xiong, Lu Zhang |
| 2022 | Graph Masked Autoencoder Enhanced Predictor for Neural Architecture Search. Kun Jing, Jungang Xu, Pengfei Li |
| 2022 | Graph-based Dynamic Word Embeddings. Yuyin Lu, Xin Cheng, Ziran Liang, Yanghui Rao |
| 2022 | GraphDIVE: Graph Classification by Mixture of Diverse Experts. Fenyu Hu, Liping Wang, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan |
| 2022 | Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs. Hongwei Jin, Xun Chen |
| 2022 | Group Wisdom at a Price: Jury Theorems with Costly Information. Matteo Michelini, Adrian Haret, Davide Grossi |
| 2022 | HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation. Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng |
| 2022 | HEA-D: A Hybrid Evolutionary Algorithm for Diversified Top-k Weight Clique Search Problem. Jun Wu, Chu Min Li, Yupeng Zhou, Minghao Yin, Xin Xu, Dangdang Niu |
| 2022 | Harnessing Fourier Isovists and Geodesic Interaction for Long-Term Crowd Flow Prediction. Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Mihee Lee, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia |
| 2022 | HashNWalk: Hash and Random Walk Based Anomaly Detection in Hyperedge Streams. Geon Lee, Minyoung Choe, Kijung Shin |
| 2022 | Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering. Yiqun Zhang, Yiu-ming Cheung, An Zeng |
| 2022 | Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning. Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis |
| 2022 | Heterogeneous Interactive Snapshot Network for Review-Enhanced Stock Profiling and Recommendation. Heyuan Wang, Tengjiao Wang, Shun Li, Shijie Guan, Jiayi Zheng, Wei Chen |
| 2022 | Hidden 1-Counter Markov Models and How to Learn Them. Mehmet Kurucan, Mete Özbaltan, Sven Schewe, Dominik Wojtczak |
| 2022 | Hierarchical Bilevel Learning with Architecture and Loss Search for Hadamard-based Image Restoration. Guijing Zhu, Long Ma, Xin Fan, Risheng Liu |
| 2022 | Hierarchical Diffusion Scattering Graph Neural Network. Ke Zhang, Xinyan Pu, Jiaxing Li, Jiasong Wu, Huazhong Shu, Youyong Kong |
| 2022 | HifiHead: One-Shot High Fidelity Neural Head Synthesis with 3D Control. Feida Zhu, Junwei Zhu, Wenqing Chu, Ying Tai, Zhifeng Xie, Xiaoming Huang, Chengjie Wang |
| 2022 | High-Resolution and Arbitrary-Sized Chinese Landscape Painting Creation Based on Generative Adversarial Networks. Peixiang Luo, Jinchao Zhang, Jie Zhou |
| 2022 | High-resource Language-specific Training for Multilingual Neural Machine Translation. Jian Yang, Yuwei Yin, Shuming Ma, Dongdong Zhang, Zhoujun Li, Furu Wei |
| 2022 | Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent (Extended Abstract). Frederik Kunstner, Raunak Kumar, Mark Schmidt |
| 2022 | How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations? Alvin Chan, Yew Soon Ong, Clement Tan |
| 2022 | How Should We Vote? A Comparison of Voting Systems within Social Networks. Shiri Alouf-Heffetz, Ben Armstrong, Kate Larson, Nimrod Talmon |
| 2022 | How to Sample Approval Elections? Stanislaw Szufa, Piotr Faliszewski, Lukasz Janeczko, Martin Lackner, Arkadii Slinko, Krzysztof Sornat, Nimrod Talmon |
| 2022 | Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention. Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang |
| 2022 | Hybrid Learning System for Large-scale Medical Image Analysis. Zehua Cheng, Lianlong Wu |
| 2022 | Hyperbolic Knowledge Transfer with Class Hierarchy for Few-Shot Learning. Baoquan Zhang, Hao Jiang, Shanshan Feng, Xutao Li, Yunming Ye, Rui Ye |
| 2022 | Hypergraph Structure Learning for Hypergraph Neural Networks. Derun Cai, Moxian Song, Chenxi Sun, Baofeng Zhang, Shenda Hong, Hongyan Li |
| 2022 | Hypertron: Explicit Social-Temporal Hypergraph Framework for Multi-Agent Forecasting. Yu Tian, Xingliang Huang, Ruigang Niu, Hongfeng Yu, Peijin Wang, Xian Sun |
| 2022 | I Will Have Order! Optimizing Orders for Fair Reviewer Assignment. Justin Payan, Yair Zick |
| 2022 | I2CNet: An Intra- and Inter-Class Context Information Fusion Network for Blastocyst Segmentation. Hua Wang, Linwei Qiu, Jingfei Hu, Jicong Zhang |
| 2022 | ICGNet: Integration Context-based Reverse-Contour Guidance Network for Polyp Segmentation. Xiuquan Du, Xuebin Xu, Kunpeng Ma |
| 2022 | IDPT: Interconnected Dual Pyramid Transformer for Face Super-Resolution. Jingang Shi, Yusi Wang, Songlin Dong, Xiaopeng Hong, Zitong Yu, Fei Wang, Changxin Wang, Yihong Gong |
| 2022 | IMO^3: Interactive Multi-Objective Off-Policy Optimization. Nan Wang, Hongning Wang, Maryam Karimzadehgan, Branislav Kveton, Craig Boutilier |
| 2022 | Image-text Retrieval: A Survey on Recent Research and Development. Min Cao, Shiping Li, Juntao Li, Liqiang Nie, Min Zhang |
| 2022 | Imperceptible Backdoor Attack: From Input Space to Feature Representation. Nan Zhong, Zhenxing Qian, Xinpeng Zhang |
| 2022 | Improved Deep Unsupervised Hashing with Fine-grained Semantic Similarity Mining for Multi-Label Image Retrieval. Zeyu Ma, Xiao Luo, Yingjie Chen, Mixiao Hou, Jinxing Li, Minghua Deng, Guangming Lu |
| 2022 | Improved Pure Exploration in Linear Bandits with No-Regret Learning. Mohammadi Zaki, Avi Mohan, Aditya Gopalan |
| 2022 | Improving Few-Shot Text-to-SQL with Meta Self-Training via Column Specificity. Xinnan Guo, Yongrui Chen, Guilin Qi, Tianxing Wu, Hao Xu |
| 2022 | Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract). Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann |
| 2022 | Improving Transferability of Adversarial Examples with Virtual Step and Auxiliary Gradients. Ming Zhang, Xiaohui Kuang, Hu Li, Zhendong Wu, Yuanping Nie, Gang Zhao |
| 2022 | Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel (Extended Abstract). Ye Zhu, Kai Ming Ting |
| 2022 | In Data We Trust: The Logic of Trust-Based Beliefs. Junli Jiang, Pavel Naumov |
| 2022 | Incentives in Social Decision Schemes with Pairwise Comparison Preferences. Felix Brandt, Patrick Lederer, Warut Suksompong |
| 2022 | Including Signed Languages in Natural Language Processing (Extended Abstract). Kayo Yin, Malihe Alikhani |
| 2022 | Individual Fairness Guarantees for Neural Networks. Elias Benussi, Andrea Patanè, Matthew Wicker, Luca Laurenti, Marta Kwiatkowska |
| 2022 | Information Augmentation for Few-shot Node Classification. Zongqian Wu, Peng Zhou, Guoqiu Wen, Yingying Wan, Junbo Ma, Debo Cheng, Xiaofeng Zhu |
| 2022 | Information Injection to Deep Learning Solutions in Knowledge Transfer. Paulina Tomaszewska |
| 2022 | Inheriting the Wisdom of Predecessors: A Multiplex Cascade Framework for Unified Aspect-based Sentiment Analysis. Hao Fei, Fei Li, Chenliang Li, Shengqiong Wu, Jingye Li, Donghong Ji |
| 2022 | Initializing Then Refining: A Simple Graph Attribute Imputation Network. Wenxuan Tu, Sihang Zhou, Xinwang Liu, Yue Liu, Zhiping Cai, En Zhu, Changwang Zhang, Jieren Cheng |
| 2022 | Insight into Voting Problem Complexity Using Randomized Classes. Zack Fitzsimmons, Edith Hemaspaandra |
| 2022 | Integrating Machine Learning and Optimization to Boost Decision Making. Ferdinando Fioretto |
| 2022 | Intelligence in Strategic Games (Extended Abstract). Pavel Naumov, Yuan Yuan |
| 2022 | Interaction and Expressivity in Collective Decision-Making. Umberto Grandi |
| 2022 | Interactive Information Extraction by Semantic Information Graph. Siqi Fan, Yequan Wang, Jing Li, Zheng Zhang, Shuo Shang, Peng Han |
| 2022 | Interactive Reinforcement Learning for Symbolic Regression from Multi-Format Human-Preference Feedbacks. Laure Crochepierre, Lydia Boudjeloud-Assala, Vincent Barbesant |
| 2022 | Interactive concept-map based summaries for SEND children. Martina Galletti, Michael Anslow, Francesca Bianchi, Manuela Calanca, Donatella Tomaiuoli, Remi van Trijp, Diletta Vedovelli, Eleonora Pasqua |
| 2022 | Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering. Zhenyun Deng, Yonghua Zhu, Yang Chen, Michael Witbrock, Patricia Riddle |
| 2022 | Intrinsic Image Decomposition by Pursuing Reflectance Image. Tzu-Heng Lin, Pengxiao Wang, Yizhou Wang |
| 2022 | Invasion Dynamics in the Biased Voter Process. Loke Durocher, Panagiotis Karras, Andreas Pavlogiannis, Josef Tkadlec |
| 2022 | Inverse Problems for Gradual Semantics. Nir Oren, Bruno Yun, Srdjan Vesic, Murilo S. Baptista |
| 2022 | Inverting 43-step MD4 via Cube-and-Conquer. Oleg Zaikin |
| 2022 | Investigating and Explaining the Frequency Bias in Image Classification. Zhiyu Lin, Yifei Gao, Jitao Sang |
| 2022 | Irrational, but Adaptive and Goal Oriented: Humans Interacting with Autonomous Agents. Amos Azaria |
| 2022 | Iterative Few-shot Semantic Segmentation from Image Label Text. Haohan Wang, Liang Liu, Wuhao Zhang, Jiangning Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang |
| 2022 | Iterative Geometry-Aware Cross Guidance Network for Stereo Image Inpainting. Ang Li, Shanshan Zhao, Qingjie Zhang, Qiuhong Ke |
| 2022 | Itero: An Online Iterative Voting Application. Joseph Boudou, Rachael Colley, Umberto Grandi |
| 2022 | I²R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose Estimation. Yiwei Ding, Wenjin Deng, Yinglin Zheng, Pengfei Liu, Meihong Wang, Xuan Cheng, Jianmin Bao, Dong Chen, Ming Zeng |
| 2022 | JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning. Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang |
| 2022 | KPN-MFI: A Kernel Prediction Network with Multi-frame Interaction for Video Inverse Tone Mapping. Gaofeng Cao, Fei Zhou, Han Yan, Anjie Wang, Leidong Fan |
| 2022 | KRAKEN: A Novel Semantic-Based Approach for Keyphrases Extraction. Simone D'Amico |
| 2022 | KUNet: Imaging Knowledge-Inspired Single HDR Image Reconstruction. Hu Wang, Mao Ye, Xiatian Zhu, Shuai Li, Ce Zhu, Xue Li |
| 2022 | Knowledge-Based News Event Analysis and Forecasting Toolkit. Oktie Hassanzadeh, Parul Awasthy, Ken Barker, Onkar Bhardwaj, Debarun Bhattacharjya, Mark Feblowitz, Lee Martie, Jian Ni, Kavitha Srinivas, Lucy Yip |
| 2022 | LTL on Weighted Finite Traces: Formal Foundations and Algorithms. Carmine Dodaro, Valeria Fionda, Gianluigi Greco |
| 2022 | LTLf Synthesis as AND-OR Graph Search: Knowledge Compilation at Work. Giuseppe De Giacomo, Marco Favorito, Jianwen Li, Moshe Y. Vardi, Shengping Xiao, Shufang Zhu |
| 2022 | Landmark Heuristics for Lifted Classical Planning. Julia Wichlacz, Daniel Höller, Jörg Hoffmann |
| 2022 | Language Models as Knowledge Embeddings. Xintao Wang, Qianyu He, Jiaqing Liang, Yanghua Xiao |
| 2022 | Large Neighborhood Search with Decision Diagrams. Xavier Gillard, Pierre Schaus |
| 2022 | Large Neighbourhood Search for Anytime MaxSAT Solving. Randy Hickey, Fahiem Bacchus |
| 2022 | Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution. Feiyang Pan, Tongzhe Zhang, Ling Luo, Jia He, Shuoling Liu |
| 2022 | Learn to Reverse DNNs from AI Programs Automatically. Simin Chen, Hamed Khanpour, Cong Liu, Wei Yang |
| 2022 | Learnability of Competitive Threshold Models. Yifan Wang, Guangmo Tong |
| 2022 | Learning Cluster Causal Diagrams: An Information-Theoretic Approach. Xueyan Niu, Xiaoyun Li, Ping Li |
| 2022 | Learning Coated Adversarial Camouflages for Object Detectors. Yexin Duan, Jialin Chen, Xingyu Zhou, Junhua Zou, Zhengyun He, Jin Zhang, Wu Zhang, Zhisong Pan |
| 2022 | Learning Continuous Graph Structure with Bilevel Programming for Graph Neural Networks. Minyang Hu, Hong Chang, Bingpeng Ma, Shiguang Shan |
| 2022 | Learning Curricula for Humans: An Empirical Study with Puzzles from The Witness. Levi H. S. Lelis, João Gabriel Gama Vila Nova, Eugene Chen, Nathan R. Sturtevant, Carrie Demmans Epp, Michael Bowling |
| 2022 | Learning Degradation Uncertainty for Unsupervised Real-world Image Super-resolution. Qian Ning, Jingzhu Tang, Fangfang Wu, Weisheng Dong, Xin Li, Guangming Shi |
| 2022 | Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract). Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma |
| 2022 | Learning First-Order Rules with Differentiable Logic Program Semantics. Kun Gao, Katsumi Inoue, Yongzhi Cao, Hanpin Wang |
| 2022 | Learning General Gaussian Mixture Model with Integral Cosine Similarity. Guanglin Li, Bin Li, Changsheng Chen, Shunquan Tan, Guoping Qiu |
| 2022 | Learning Graph-based Residual Aggregation Network for Group Activity Recognition. Wei Li, Tianzhao Yang, Xiao Wu, Zhaoquan Yuan |
| 2022 | Learning Higher-Order Logic Programs From Failures. Stanislaw J. Purgal, David M. Cerna, Cezary Kaliszyk |
| 2022 | Learning Implicit Body Representations from Double Diffusion Based Neural Radiance Fields. Guangming Yao, Hongzhi Wu, Yi Yuan, Lincheng Li, Kun Zhou, Xin Yu |
| 2022 | Learning Label Initialization for Time-Dependent Harmonic Extension. Amitoz Azad |
| 2022 | Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings. Danushka Bollegala |
| 2022 | Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering. Yunhao Zhang, Junchi Yan, Xiaolu Zhang, Jun Zhou, Xiaokang Yang |
| 2022 | Learning Mixtures of Random Utility Models with Features from Incomplete Preferences. Zhibing Zhao, Ao Liu, Lirong Xia |
| 2022 | Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition. Cheng Luo, Siyang Song, Weicheng Xie, Linlin Shen, Hatice Gunes |
| 2022 | Learning Pollution Maps from Mobile Phone Images. Ankit Bhardwaj, Shiva R. Iyer, Yash Jalan, Lakshminarayanan Subramanian |
| 2022 | Learning Prototype via Placeholder for Zero-shot Recognition. Zaiquan Yang, Yang Liu, Wenjia Xu, Chong Huang, Lei Zhou, Chao Tong |
| 2022 | Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization (Extended Abstract). Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan S. Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn |
| 2022 | Learning Sparse Interpretable Features For NAS Scoring From Liver Biopsy Images. Chong Yin, Siqi Liu, Vincent Wai-Sun Wong, Pong C. Yuen |
| 2022 | Learning Target-aware Representation for Visual Tracking via Informative Interactions. Mingzhe Guo, Zhipeng Zhang, Heng Fan, Liping Jing, Yilin Lyu, Bing Li, Weiming Hu |
| 2022 | Learning Unforgotten Domain-Invariant Representations for Online Unsupervised Domain Adaptation. Cheng Feng, Chaoliang Zhong, Jie Wang, Ying Zhang, Jun Sun, Yasuto Yokota |
| 2022 | Learning and Exploiting Progress States in Greedy Best-First Search. Patrick Ferber, Liat Cohen, Jendrik Seipp, Thomas Keller |
| 2022 | Learning by Interpreting. Xuting Tang, Abdul Rafae Khan, Shusen Wang, Jia Xu |
| 2022 | Learning from Students: Online Contrastive Distillation Network for General Continual Learning. Jin Li, Zhong Ji, Gang Wang, Qiang Wang, Feng Gao |
| 2022 | Learning to Assemble Geometric Shapes. Jinhwi Lee, Jungtaek Kim, Hyunsoo Chung, Jaesik Park, Minsu Cho |
| 2022 | Learning to Estimate Object Poses without Real Image Annotations. Haotong Lin, Sida Peng, Zhize Zhou, Xiaowei Zhou |
| 2022 | Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations. Pu Zhao, Parikshit Ram, Songtao Lu, Yuguang Yao, Djallel Bouneffouf, Xue Lin, Sijia Liu |
| 2022 | Learning to Generate Poetic Chinese Landscape Painting with Calligraphy. Shaozu Yuan, Aijun Dai, Zhiling Yan, Ruixue Liu, Meng Chen, Baoyang Chen, Zhijie Qiu, Xiaodong He |
| 2022 | Learning to Hash Naturally Sorts. Jiaguo Yu, Yuming Shen, Menghan Wang, Haofeng Zhang, Philip H. S. Torr |
| 2022 | Legal Judgment Prediction: A Survey of the State of the Art. Yi Feng, Chuanyi Li, Vincent Ng |
| 2022 | Let's Agree to Agree: Targeting Consensus for Incomplete Preferences through Majority Dynamics. Sirin Botan, Simon Rey, Zoi Terzopoulou |
| 2022 | Leveraging Class Abstraction for Commonsense Reinforcement Learning via Residual Policy Gradient Methods. Niklas Höpner, Ilaria Tiddi, Herke van Hoof |
| 2022 | Leveraging the Wikipedia Graph for Evaluating Word Embeddings. Joachim Giesen, Paul Kahlmeyer, Frank Nussbaum, Sina Zarrieß |
| 2022 | Lexicographic Entailment, Syntax Splitting and the Drowning Problem. Jesse Heyninck, Gabriele Kern-Isberner, Thomas Andreas Meyer |
| 2022 | Lexicographic Multi-Objective Reinforcement Learning. Joar Skalse, Lewis Hammond, Charlie Griffin, Alessandro Abate |
| 2022 | Libra-CAM: An Activation-Based Attribution Based on the Linear Approximation of Deep Neural Nets and Threshold Calibration. Sangkyun Lee, Sungmin Han |
| 2022 | Light Agents Searching for Hot Information. Dariusz R. Kowalski, Dominik Pajak |
| 2022 | Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer. Guangwei Gao, Zhengxue Wang, Juncheng Li, Wenjie Li, Yi Yu, Tieyong Zeng |
| 2022 | Limits and Possibilities of Forgetting in Abstract Argumentation. Ringo Baumann, Matti Berthold |
| 2022 | Linear Combinatorial Semi-Bandit with Causally Related Rewards. Behzad Nourani-Koliji, Saeed Ghoorchian, Setareh Maghsudi |
| 2022 | Linear Temporal Logic Modulo Theories over Finite Traces. Luca Geatti, Alessandro Gianola, Nicola Gigante |
| 2022 | Local Differential Privacy Meets Computational Social Choice - Resilience under Voter Deletion. Liangde Tao, Lin Chen, Lei Xu, Weidong Shi |
| 2022 | Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps (Extended Abstract). Tobias Huber, Katharina Weitz, Elisabeth André, Ofra Amir |
| 2022 | Locally Normalized Soft Contrastive Clustering for Compact Clusters. Xin Ma, Won Hwa Kim |
| 2022 | Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification (Extended Abstract). Manolis Pitsikalis, Thanh-Toan Do, Alexei Lisitsa, Shan Luo |
| 2022 | Logically Consistent Adversarial Attacks for Soft Theorem Provers. Alexander Gaskell, Yishu Miao, Francesca Toni, Lucia Specia |
| 2022 | Logit Mixing Training for More Reliable and Accurate Prediction. Duhyeon Bang, Kyungjune Baek, JiWoo Kim, Yunho Jeon, Jin-Hwa Kim, Jiwon Kim, Jongwuk Lee, Hyunjung Shim |
| 2022 | Long-Short Term Cross-Transformer in Compressed Domain for Few-Shot Video Classification. Wenyang Luo, Yufan Liu, Bing Li, Weiming Hu, Yanan Miao, Yangxi Li |
| 2022 | Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention. Wei Shao, Zhiling Jin, Shuo Wang, Yufan Kang, Xiao Xiao, Hamid Menouar, Zhaofeng Zhang, Junshan Zhang, Flora D. Salim |
| 2022 | Low-Resource NER by Data Augmentation With Prompting. Jian Liu, Yufeng Chen, Jinan Xu |
| 2022 | Lyra: A Benchmark for Turducken-Style Code Generation. Qingyuan Liang, Zeyu Sun, Qihao Zhu, Wenjie Zhang, Lian Yu, Yingfei Xiong, Lu Zhang |
| 2022 | MA-ViT: Modality-Agnostic Vision Transformers for Face Anti-Spoofing. Ajian Liu, Yanyan Liang |
| 2022 | MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction. Hung-Nghiep Tran, Atsuhiro Takasu |
| 2022 | MERIT: Learning Multi-level Representations on Temporal Graphs. Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen |
| 2022 | MFAN: Multi-modal Feature-enhanced Attention Networks for Rumor Detection. Jiaqi Zheng, Xi Zhang, Sanchuan Guo, Quan Wang, Wenyu Zang, Yongdong Zhang |
| 2022 | MGAD: Learning Descriptional Representation Distilled from Distributional Semantics for Unseen Entities. Yuanzheng Wang, Xueqi Cheng, Yixing Fan, Xiaofei Zhu, Huasheng Liang, Qiang Yan, Jiafeng Guo |
| 2022 | MLP4Rec: A Pure MLP Architecture for Sequential Recommendations. Muyang Li, Xiangyu Zhao, Chuan Lyu, Minghao Zhao, Runze Wu, Ruocheng Guo |
| 2022 | MMNet: Muscle Motion-Guided Network for Micro-Expression Recognition. Hanting Li, Mingzhe Sui, Zhaoqing Zhu, Feng Zhao |
| 2022 | MMT: Multi-way Multi-modal Transformer for Multimodal Learning. Jiajia Tang, Kang Li, Ming Hou, Xuanyu Jin, Wanzeng Kong, Yu Ding, Qibin Zhao |
| 2022 | MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation. Zhangfu Dong, Yuting He, Xiaoming Qi, Yang Chen, Huazhong Shu, Jean-Louis Coatrieux, Guanyu Yang, Shuo Li |
| 2022 | Making Sense of Raw Input (Extended Abstract). Richard Evans, Matko Bosnjak, Lars Buesing, Kevin Ellis, David Pfau, Pushmeet Kohli, Marek J. Sergot |
| 2022 | Manipulating Elections by Changing Voter Perceptions. Junlin Wu, Andrew Estornell, Lecheng Kong, Yevgeniy Vorobeychik |
| 2022 | Markov Abstractions for PAC Reinforcement Learning in Non-Markov Decision Processes. Alessandro Ronca, Gabriel Paludo Licks, Giuseppe De Giacomo |
| 2022 | Masked Feature Generation Network for Few-Shot Learning. Yunlong Yu, Dingyi Zhang, Zhong Ji |
| 2022 | Max-Sum with Quadtrees for Decentralized Coordination in Continuous Domains. Dimitrios Troullinos, Georgios Chalkiadakis, Vasilis Samoladas, Markos Papageorgiou |
| 2022 | Maxmin Participatory Budgeting. Gogulapati Sreedurga, Mayank Ratan Bhardwaj, Yadati Narahari |
| 2022 | Measuring Data Leakage in Machine-Learning Models with Fisher Information (Extended Abstract). Awni Y. Hannun, Chuan Guo, Laurens van der Maaten |
| 2022 | Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks (Extended Abstract). Songül Tolan, Annarosa Pesole, Fernando Martínez-Plumed, Enrique Fernández-Macías, José Hernández-Orallo, Emilia Gómez |
| 2022 | Mechanism Design Powered by Social Interactions: A Call to Arms. Dengji Zhao |
| 2022 | Mechanism Design with Predictions. Chenyang Xu, Pinyan Lu |
| 2022 | MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning. Yi Xu, Lichen Wang, Yizhou Wang, Can Qin, Yulun Zhang, Yun Fu |
| 2022 | Membership Inference via Backdooring. Hongsheng Hu, Zoran Salcic, Gillian Dobbie, Jinjun Chen, Lichao Sun, Xuyun Zhang |
| 2022 | Memory Augmented State Space Model for Time Series Forecasting. Yinbo Sun, Lintao Ma, Yu Liu, Shijun Wang, James Zhang, Yangfei Zheng, Hu Yun, Lei Lei, Yulin Kang, Llinbao Ye |
| 2022 | Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting. Mingyang Chen, Wen Zhang, Zhen Yao, Xiangnan Chen, Mengxiao Ding, Fei Huang, Huajun Chen |
| 2022 | MetaER-TTE: An Adaptive Meta-learning Model for En Route Travel Time Estimation. Yu Fan, Jiajie Xu, Rui Zhou, Jianxin Li, Kai Zheng, Lu Chen, Chengfei Liu |
| 2022 | MetaFinger: Fingerprinting the Deep Neural Networks with Meta-training. Kang Yang, Run Wang, Lina Wang |
| 2022 | Mixed Strategies for Security Games with General Defending Requirements. Rufan Bai, Haoxing Lin, Xinyu Yang, Xiaowei Wu, Minming Li, Weijia Jia |
| 2022 | Model Stealing Defense against Exploiting Information Leak through the Interpretation of Deep Neural Nets. Jeonghyun Lee, Sungmin Han, Sangkyun Lee |
| 2022 | Model-Based Offline Planning with Trajectory Pruning. Xianyuan Zhan, Xiangyu Zhu, Haoran Xu |
| 2022 | Modeling Precursors for Temporal Knowledge Graph Reasoning via Auto-encoder Structure. Yifu Gao, Linhui Feng, Zhigang Kan, Yi Han, Linbo Qiao, Dongsheng Li |
| 2022 | Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation. Xiaolin Wang, Guohao Sun, Xiu Fang, Jian Yang, Shoujin Wang |
| 2022 | Modelling the Dynamics of Multi-Agent Q-learning: The Stochastic Effects of Local Interaction and Incomplete Information. Chin-wing Leung, Shuyue Hu, Ho-fung Leung |
| 2022 | Modelling the Dynamics of Regret Minimization in Large Agent Populations: a Master Equation Approach. Zhen Wang, Chunjiang Mu, Shuyue Hu, Chen Chu, Xuelong Li |
| 2022 | Monitoring Vegetation From Space at Extremely Fine Resolutions via Coarsely-Supervised Smooth U-Net. Joshua Fan, Di Chen, Jiaming Wen, Ying Sun, Carla P. Gomes |
| 2022 | Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network. Alex Mathai, Sambaran Bandyopadhyay, Utkarsh Desai, Srikanth Tamilselvam |
| 2022 | Monotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment. Jakob Weissteiner, Jakob Heiss, Julien Siems, Sven Seuken |
| 2022 | MotionMixer: MLP-based 3D Human Body Pose Forecasting. Arij Bouazizi, Adrian Holzbock, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis |
| 2022 | MuiDial: Improving Dialogue Disentanglement with Intent-Based Mutual Learning. Ziyou Jiang, Lin Shi, Celia Chen, Fangwen Mu, Yumin Zhang, Qing Wang |
| 2022 | Multi-Agent Concentrative Coordination with Decentralized Task Representation. Lei Yuan, Chenghe Wang, Jianhao Wang, Fuxiang Zhang, Feng Chen, Cong Guan, Zongzhang Zhang, Chongjie Zhang, Yang Yu |
| 2022 | Multi-Agent Intention Progression with Reward Machines. Michael Dann, Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah |
| 2022 | Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication Method. Qize Jiang, Minhao Qin, Shengmin Shi, Weiwei Sun, Baihua Zheng |
| 2022 | Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts. Giulia Romano, Andrea Agostini, Francesco Trovò, Nicola Gatti, Marcello Restelli |
| 2022 | Multi-Constraint Deep Reinforcement Learning for Smooth Action Control. Guangyuan Zou, Ying He, F. Richard Yu, Longquan Chen, Weike Pan, Zhong Ming |
| 2022 | Multi-Graph Fusion Networks for Urban Region Embedding. Shangbin Wu, Xu Yan, Xiaoliang Fan, Shirui Pan, Shichao Zhu, Chuanpan Zheng, Ming Cheng, Cheng Wang |
| 2022 | Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks. Lang Feng, Qianhui Liu, Huajin Tang, De Ma, Gang Pan |
| 2022 | Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications. Xuchuang Wang, Hong Xie, John C. S. Lui |
| 2022 | Multi-Proxy Learning from an Entropy Optimization Perspective. Yunlong Yu, Dingyi Zhang, Yingming Li, Zhongfei Zhang |
| 2022 | Multi-Task Personalized Learning with Sparse Network Lasso. Jiankun Wang, Lu Sun |
| 2022 | Multi-Tier Platform for Cognizing Massive Electroencephalogram. Zheng Chen, Lingwei Zhu, Ziwei Yang, Renyuan Zhang |
| 2022 | Multi-Vector Embedding on Networks with Taxonomies. Yue Fan, Xiuli Ma |
| 2022 | Multi-View Visual Semantic Embedding. Zheng Li, Caili Guo, Zerun Feng, Jenq-Neng Hwang, Xijun Xue |
| 2022 | Multi-level Consistency Learning for Semi-supervised Domain Adaptation. Zizheng Yan, Yushuang Wu, Guanbin Li, Yipeng Qin, Xiaoguang Han, Shuguang Cui |
| 2022 | Multi-policy Grounding and Ensemble Policy Learning for Transfer Learning with Dynamics Mismatch. Hyun-Rok Lee, Ram Ananth Sreenivasan, Yeonjeong Jeong, Jongseong Jang, Dongsub Shim, Chi-Guhn Lee |
| 2022 | Multi-robot Task Allocation in the Environment with Functional Tasks. Fuhan Yan, Kai Di |
| 2022 | Multi-scale Spatial Representation Learning via Recursive Hermite Polynomial Networks. Yuanbo Lin Wu, Deyin Liu, Xiaojie Guo, Richang Hong, Liangchen Liu, Rui Zhang |
| 2022 | Multi-view Unsupervised Graph Representation Learning. Jiangzhang Gan, Rongyao Hu, Mengmeng Zhan, Yujie Mo, Yingying Wan, Xiaofeng Zhu |
| 2022 | MultiQuant: Training Once for Multi-bit Quantization of Neural Networks. Ke Xu, Qiantai Feng, Xingyi Zhang, Dong Wang |
| 2022 | Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning. Kamil Deja, Pawel Wawrzynski, Wojciech Masarczyk, Daniel Marczak, Tomasz Trzcinski |
| 2022 | Multilevel Hierarchical Network with Multiscale Sampling for Video Question Answering. Min Peng, Chongyang Wang, Yuan Gao, Yu Shi, Xiang-Dong Zhou |
| 2022 | Multivariate Times Series Classification Using Multichannel CNN. YongKyung Oh |
| 2022 | Multiwinner Elections under Minimax Chamberlin-Courant Rule in Euclidean Space. Chinmay Sonar, Subhash Suri, Jie Xue |
| 2022 | Music-to-Dance Generation with Optimal Transport. Shuang Wu, Shijian Lu, Li Cheng |
| 2022 | Mutual Distillation Learning Network for Trajectory-User Linking. Wei Chen, Shuzhe Li, Chao Huang, Yanwei Yu, Yongguo Jiang, Junyu Dong |
| 2022 | Near-Tight Algorithms for the Chamberlin-Courant and Thiele Voting Rules. Krzysztof Sornat, Virginia Vassilevska Williams, Yinzhan Xu |
| 2022 | Network Creation with Homophilic Agents. Martin Bullinger, Pascal Lenzner, Anna Melnichenko |
| 2022 | Neural Contextual Anomaly Detection for Time Series. Chris U. Carmona, François-Xavier Aubet, Valentin Flunkert, Jan Gasthaus |
| 2022 | Neural Network Pruning by Cooperative Coevolution. Haopu Shang, Jia-Liang Wu, Wenjing Hong, Chao Qian |
| 2022 | Neural PCA for Flow-Based Representation Learning. Shen Li, Bryan Hooi |
| 2022 | Neural Re-ranking in Multi-stage Recommender Systems: A Review. Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang |
| 2022 | Neural Subgraph Explorer: Reducing Noisy Information via Target-oriented Syntax Graph Pruning. Bowen Xing, Ivor W. Tsang |
| 2022 | Neuro-Symbolic Verification of Deep Neural Networks. Xuan Xie, Kristian Kersting, Daniel Neider |
| 2022 | Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge. Jiangnan Li, Fandong Meng, Zheng Lin, Rui Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou |
| 2022 | Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences. Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Yew Soon Ong, Xinghua Qu |
| 2022 | Non-Cheating Teaching Revisited: A New Probabilistic Machine Teaching Model. Cèsar Ferri, José Hernández-Orallo, Jan Arne Telle |
| 2022 | Non-Euclidean Self-Organizing Maps. Dorota Celinska-Kopczynska, Eryk Kopczynski |
| 2022 | None Class Ranking Loss for Document-Level Relation Extraction. Yang Zhou, Wee Sun Lee |
| 2022 | Not a Number: Identifying Instance Features for Capability-Oriented Evaluation. Ryan Burnell, John Burden, Danaja Rutar, Konstantinos Voudouris, Lucy Cheke, José Hernández-Orallo |
| 2022 | Offline Time-Independent Multi-Agent Path Planning. Keisuke Okumura, François Bonnet, Yasumasa Tamura, Xavier Défago |
| 2022 | Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit. Amutheezan Sivagnanam, Salah Uddin Kadir, Ayan Mukhopadhyay, Philip Pugliese, Abhishek Dubey, Samitha Samaranayake, Aron Laszka |
| 2022 | On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks. Huimin Zeng, Zhenrui Yue, Yang Zhang, Ziyi Kou, Lanyu Shang, Dong Wang |
| 2022 | On Discrete Truthful Heterogeneous Two-Facility Location. Panagiotis Kanellopoulos, Alexandros A. Voudouris, Rongsen Zhang |
| 2022 | On Preferences and Priority Rules in Abstract Argumentation. Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna |
| 2022 | On Preferred Abductive Explanations for Decision Trees and Random Forests. Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis |
| 2022 | On Quantifying Literals in Boolean Logic and its Applications to Explainable AI (Extended Abstract). Adnan Darwiche, Pierre Marquis |
| 2022 | On Tracking Dialogue State by Inheriting Slot Values in Mentioned Slot Pools. Zhoujian Sun, Zhengxing Huang, Nai Ding |
| 2022 | On Verifying Expectations and Observations of Intelligent Agents. Sourav Chakraborty, Avijeet Ghosh, Sujata Ghosh, François Schwarzentruber |
| 2022 | On the (In)Tractability of Reinforcement Learning for LTL Objectives. Cambridge Yang, Michael L. Littman, Michael Carbin |
| 2022 | On the Channel Pruning using Graph Convolution Network for Convolutional Neural Network Acceleration. Di Jiang, Yuan Cao, Qiang Yang |
| 2022 | On the Complexity of Calculating Approval-Based Winners in Candidates-Embedded Metrics. Yongjie Yang |
| 2022 | On the Complexity of Enumerating Prime Implicants from Decision-DNNF Circuits. Alexis de Colnet, Pierre Marquis |
| 2022 | On the Computational Complexity of Model Reconciliations. Sarath Sreedharan, Pascal Bercher, Subbarao Kambhampati |
| 2022 | On the Convergence of Fictitious Play: A Decomposition Approach. Yurong Chen, Xiaotie Deng, Chenchen Li, David Mguni, Jun Wang, Xiang Yan, Yaodong Yang |
| 2022 | On the Expressivity of Markov Reward (Extended Abstract). David Abel, Will Dabney, Anna Harutyunyan, Mark K. Ho, Michael L. Littman, Doina Precup, Satinder Singh |
| 2022 | On the First-Order Rewritability of Ontology-Mediated Queries in Linear Temporal Logic (Extended Abstract). Alessandro Artale, Roman Kontchakov, Alisa Kovtunova, Vladislav Ryzhikov, Frank Wolter, Michael Zakharyaschev |
| 2022 | On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges. Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou |
| 2022 | On the Optimization of Margin Distribution. Meng-Zhang Qian, Zheng Ai, Teng Zhang, Wei Gao |
| 2022 | On the Ordinal Invariance of Power Indices on Coalitional Games. Jean-Paul Doignon, Stefano Moretti, Meltem Öztürk |
| 2022 | On the Utility of Prediction Sets in Human-AI Teams. Varun Babbar, Umang Bhatt, Adrian Weller |
| 2022 | One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model. Wonho Bae, Junhyug Noh, Milad Jalali Asadabadi, Danica J. Sutherland |
| 2022 | Online Approval Committee Elections. Virginie Do, Matthieu Hervouin, Jérôme Lang, Piotr Skowron |
| 2022 | Online Bin Packing with Predictions. Spyros Angelopoulos, Shahin Kamali, Kimia Shadkami |
| 2022 | Online ECG Emotion Recognition for Unknown Subjects via Hypergraph-Based Transfer Learning. Yalan Ye, Tongjie Pan, Qianhe Meng, Jingjing Li, Li Lu |
| 2022 | Online Evasion Attacks on Recurrent Models: The Power of Hallucinating the Future. Byunggill Joe, Insik Shin, Jihun Hamm |
| 2022 | Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking. Ilchae Jung, Minji Kim, Eunhyeok Park, Bohyung Han |
| 2022 | Online Matching with Controllable Rewards and Arrival Probabilities. Yuya Hikima, Yasunori Akagi, Naoki Marumo, Hideaki Kim |
| 2022 | Online Planning in POMDPs with Self-Improving Simulators. Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek |
| 2022 | Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge (Extended Abstract). Miguel Angel Lozano, Òscar Garibo i Orts, Eloy Piñol, Miguel Rebollo, Kristina Polotskaya, Miguel Ángel García-March, J. Alberto Conejero, Francisco Escolano, Nuria Oliver |
| 2022 | Optimal Anonymous Independent Reward Scheme Design. Mengjing Chen, Pingzhong Tang, Zihe Wang, Shenke Xiao, Xiwang Yang |
| 2022 | Option Transfer and SMDP Abstraction with Successor Features. Dongge Han, Sebastian Tschiatschek |
| 2022 | Overlapping Communities and Roles in Networks with Node Attributes: Probabilistic Graphical Modeling, Bayesian Formulation and Variational Inference (Extended Abstract). Gianni Costa, Riccardo Ortale |
| 2022 | Ownership Concentration and Wealth Inequality in Russia. Kirill Polovnikov, Nikita Pospelov, Dmitriy Skougarevskiy |
| 2022 | PACE: Predictive and Contrastive Embedding for Unsupervised Action Segmentation. Jiahao Wang, Jie Qin, Yunhong Wang, Annan Li |
| 2022 | PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations. Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang |
| 2022 | PCVAE: Generating Prior Context for Dialogue Response Generation. Zefeng Cai, Zerui Cai |
| 2022 | PG3: Policy-Guided Planning for Generalized Policy Generation. Ryan Yang, Tom Silver, Aidan Curtis, Tomás Lozano-Pérez, Leslie Pack Kaelbling |
| 2022 | PPT: Backdoor Attacks on Pre-trained Models via Poisoned Prompt Tuning. Wei Du, Yichun Zhao, Boqun Li, Gongshen Liu, Shilin Wang |
| 2022 | PRNet: Point-Range Fusion Network for Real-Time LiDAR Semantic Segmentation. Xiaoyan Li, Gang Zhang, Tao Jiang, Xufen Cai, Zhenhua Wang |
| 2022 | Parameter-Efficient Sparsity for Large Language Models Fine-Tuning. Yuchao Li, Fuli Luo, Chuanqi Tan, Mengdi Wang, Songfang Huang, Shen Li, Junjie Bai |
| 2022 | Parameterized Algorithms for Kidney Exchange. Arnab Maiti, Palash Dey |
| 2022 | Parameterized Complexity of Hotelling-Downs with Party Nominees. Argyrios Deligkas, Eduard Eiben, Tiger-Lily Goldsmith |
| 2022 | Penalized Proximal Policy Optimization for Safe Reinforcement Learning. Linrui Zhang, Li Shen, Long Yang, Shixiang Chen, Xueqian Wang, Bo Yuan, Dacheng Tao |
| 2022 | Perceptual Learned Video Compression with Recurrent Conditional GAN. Ren Yang, Radu Timofte, Luc Van Gool |
| 2022 | Personalized Federated Learning With a Graph. Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang |
| 2022 | Personalized Federated Learning with Contextualized Generalization. Xueyang Tang, Song Guo, Jingcai Guo |
| 2022 | Phragmén Rules for Degressive and Regressive Proportionality. Michal Jaworski, Piotr Skowron |
| 2022 | Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data. Chuizheng Meng, Hao Niu, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu |
| 2022 | Picking the Right Winner: Why Tie-Breaking in Crowdsourcing Contests Matters. Coral Haggiag, Sigal Oren, Ella Segev |
| 2022 | PillGood: Automated and Interactive Pill Dispenser Using Facial Recognition for Safe and Personalized Medication. Jonghyeok Kim, Hosung Kwon, Jonghyeon Kim, Jinsoo Park, Soong-Un Choi, Sookyung Kim |
| 2022 | PlaceNet: Neural Spatial Representation Learning with Multimodal Attention. Chung-Yeon Lee, Youngjae Yoo, Byoung-Tak Zhang |
| 2022 | Placing Green Bridges Optimally, with Habitats Inducing Cycles. Maike Herkenrath, Till Fluschnik, Francesco Grothe, Leon Kellerhals |
| 2022 | Plane Geometry Diagram Parsing. Ming-Liang Zhang, Fei Yin, Yi-Han Hao, Cheng-Lin Liu |
| 2022 | Planning with Qualitative Action-Trajectory Constraints in PDDL. Luigi Bonassi, Alfonso Emilio Gerevini, Enrico Scala |
| 2022 | Plausibility Reasoning via Projected Answer Set Counting - A Hybrid Approach. Johannes Klaus Fichte, Markus Hecher, Mohamed A. Nadeem |
| 2022 | Plurality Veto: A Simple Voting Rule Achieving Optimal Metric Distortion. Fatih Erdem Kizilkaya, David Kempe |
| 2022 | Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios. Dazhong Rong, Qinming He, Jianhai Chen |
| 2022 | Posistive-Unlabeled Learning via Optimal Transport and Margin Distribution. Nan Cao, Teng Zhang, Xuanhua Shi, Hai Jin |
| 2022 | Position-aware Joint Entity and Relation Extraction with Attention Mechanism. Chenglong Zhang, Shuyong Gao, Haofen Wang, Wenqiang Zhang |
| 2022 | Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion. Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang |
| 2022 | Possibilistic Logic Underlies Abstract Dialectical Frameworks. Jesse Heyninck, Gabriele Kern-Isberner, Tjitze Rienstra, Kenneth Skiba, Matthias Thimm |
| 2022 | Post-processing of Differentially Private Data: A Fairness Perspective. Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck |
| 2022 | Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz |
| 2022 | Preserving Consistency in Multi-Issue Liquid Democracy. Rachael Colley, Umberto Grandi |
| 2022 | Private Semi-Supervised Federated Learning. Chenyou Fan, Junjie Hu, Jianwei Huang |
| 2022 | Private Stochastic Convex Optimization and Sparse Learning with Heavy-tailed Data Revisited. Youming Tao, Yulian Wu, Xiuzhen Cheng, Di Wang |
| 2022 | Problem Compilation for Multi-Agent Path Finding: a Survey. Pavel Surynek |
| 2022 | Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022. Luc De Raedt |
| 2022 | Projected Gradient Descent Algorithms for Solving Nonlinear Inverse Problems with Generative Priors. Zhaoqiang Liu, Jun Han |
| 2022 | Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt. Xinyin Ma, Xinchao Wang, Gongfan Fang, Yongliang Shen, Weiming Lu |
| 2022 | Proportional Budget Allocations: Towards a Systematization. Maaike Los, Zoé Christoff, Davide Grossi |
| 2022 | Propose-and-Refine: A Two-Stage Set Prediction Network for Nested Named Entity Recognition. Shuhui Wu, Yongliang Shen, Zeqi Tan, Weiming Lu |
| 2022 | Propositional Gossip Protocols under Fair Schedulers. Joseph Livesey, Dominik Wojtczak |
| 2022 | ProtoAI: Model-Informed Prototyping for AI-Powered Interfaces (Extended Abstract). Hariharan Subramonyam, Colleen M. Seifert, Eytan Adar |
| 2022 | Proximity Enhanced Graph Neural Networks with Channel Contrast. Wei Zhuo, Guang Tan |
| 2022 | Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization. Yanyu Li, Pu Zhao, Geng Yuan, Xue Lin, Yanzhi Wang, Xin Chen |
| 2022 | Pseudo-spherical Knowledge Distillation. Kyungmin Lee, Hyeongkeun Lee |
| 2022 | Psychiatric Scale Guided Risky Post Screening for Early Detection of Depression. Zhiling Zhang, Siyuan Chen, Mengyue Wu, Kenny Q. Zhu |
| 2022 | Public Signaling in Bayesian Ad Auctions. Francesco Bacchiocchi, Matteo Castiglioni, Alberto Marchesi, Giulia Romano, Nicola Gatti |
| 2022 | QCDCL with Cube Learning or Pure Literal Elimination - What is Best? Benjamin Böhm, Tomás Peitl, Olaf Beyersdorff |
| 2022 | Quantifying Health Inequalities Induced by Data and AI Models. Honghan Wu, Aneeta Sylolypavan, Minhong Wang, Sarah Wild |
| 2022 | Quaternion Ordinal Embedding. Wenzheng Hou, Qianqian Xu, Ke Ma, Qianxiu Hao, Qingming Huang |
| 2022 | RAPQ: Rescuing Accuracy for Power-of-Two Low-bit Post-training Quantization. Hongyi Yao, Pu Li, Jian Cao, Xiangcheng Liu, Chenying Xie, Bingzhang Wang |
| 2022 | RAW-GNN: RAndom Walk Aggregation based Graph Neural Network. Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang |
| 2022 | RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on. Chao Lin, Zhao Li, Sheng Zhou, Shichang Hu, Jialun Zhang, Linhao Luo, Jiarun Zhang, Longtao Huang, Yuan He |
| 2022 | Rainy WCity: A Real Rainfall Dataset with Diverse Conditions for Semantic Driving Scene Understanding. Xian Zhong, Shidong Tu, Xianzheng Ma, Kui Jiang, Wenxin Huang, Zheng Wang |
| 2022 | Raising the Bar in Graph-level Anomaly Detection. Chen Qiu, Marius Kloft, Stephan Mandt, Maja Rudolph |
| 2022 | Ranked Prioritization of Groups in Combinatorial Bandit Allocation. Lily Xu, Arpita Biswas, Fei Fang, Milind Tambe |
| 2022 | RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection. Jinpeng Li, Haibo Jin, Shengcai Liao, Ling Shao, Pheng-Ann Heng |
| 2022 | RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-training. Luya Wang, Feng Liang, Yangguang Li, Honggang Zhang, Wanli Ouyang, Jing Shao |
| 2022 | Real-Time BDI Agents: A Model and Its Implementation. Andrea Traldi, Francesco Bruschetti, Marco Robol, Marco Roveri, Paolo Giorgini |
| 2022 | Real-Time Heuristic Search with LTLf Goals. Jaime Middleton, Rodrigo Toro Icarte, Jorge A. Baier |
| 2022 | Real-Time Portrait Stylization on the Edge. Yanyu Li, Xuan Shen, Geng Yuan, Jiexiong Guan, Wei Niu, Hao Tang, Bin Ren, Yanzhi Wang |
| 2022 | Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering. Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan |
| 2022 | Recent Advances and New Frontiers in Spiking Neural Networks. Duzhen Zhang, Tielin Zhang, Shuncheng Jia, Qingyu Wang, Bo Xu |
| 2022 | Recent Advances in Concept Drift Adaptation Methods for Deep Learning. Liheng Yuan, Heng Li, Beihao Xia, Cuiying Gao, Mingyue Liu, Wei Yuan, Xinge You |
| 2022 | Recent Advances on Neural Network Pruning at Initialization. Huan Wang, Can Qin, Yue Bai, Yulun Zhang, Yun Fu |
| 2022 | Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks. Yijun Tian, Chuxu Zhang, Zhichun Guo, Yihong Ma, Ronald A. Metoyer, Nitesh V. Chawla |
| 2022 | RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation. Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald A. Metoyer, Nitesh V. Chawla |
| 2022 | Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware Neural Network Approach. Haiping Ma, Jingyuan Wang, Hengshu Zhu, Xin Xia, Haifeng Zhang, Xingyi Zhang, Lei Zhang |
| 2022 | Reconstructing Diffusion Networks from Incomplete Data. Hao Huang, Keqi Han, Beicheng Xu, Ting Gan |
| 2022 | Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks. Jiaqiang Zhang, Senzhang Wang, Songcan Chen |
| 2022 | Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation. Hexin Dong, Zifan Chen, Mingze Yuan, Yutong Xie, Jie Zhao, Fei Yu, Bin Dong, Li Zhang |
| 2022 | Region-Aware Temporal Inconsistency Learning for DeepFake Video Detection. Zhihao Gu, Taiping Yao, Yang Chen, Ran Yi, Shouhong Ding, Lizhuang Ma |
| 2022 | Region-level Contrastive and Consistency Learning for Semi-Supervised Semantic Segmentation. Jianrong Zhang, Tianyi Wu, Chuanghao Ding, Hongwei Zhao, Guodong Guo |
| 2022 | Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting. Hongyuan Yu, Ting Li, Weichen Yu, Jianguo Li, Yan Huang, Liang Wang, Alex X. Liu |
| 2022 | Reinforcement Learning for Cross-Domain Hyper-Heuristics. Florian Mischek, Nysret Musliu |
| 2022 | Reinforcement Learning with Option Machines. Floris den Hengst, Vincent François-Lavet, Mark Hoogendoorn, Frank van Harmelen |
| 2022 | Relational Abstractions for Generalized Reinforcement Learning on Symbolic Problems. Rushang Karia, Siddharth Srivastava |
| 2022 | Relational Triple Extraction: One Step is Enough. Yuming Shang, Heyan Huang, Xin Sun, Wei Wei, Xian-Ling Mao |
| 2022 | Representation Learning for Compressed Video Action Recognition via Attentive Cross-modal Interaction with Motion Enhancement. Bing Li, Jiaxin Chen, Dongming Zhang, Xiuguo Bao, Di Huang |
| 2022 | Representation Matters: Characterisation and Impossibility Results for Interval Aggregation. Ulle Endriss, Arianna Novaro, Zoi Terzopoulou |
| 2022 | Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images. Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh |
| 2022 | Rethinking Image Aesthetics Assessment: Models, Datasets and Benchmarks. Shuai He, Yongchang Zhang, Rui Xie, Dongxiang Jiang, Anlong Ming |
| 2022 | Rethinking InfoNCE: How Many Negative Samples Do You Need? Chuhan Wu, Fangzhao Wu, Yongfeng Huang |
| 2022 | Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification. Deli Chen, Yankai Lin, Lei Li, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun |
| 2022 | Rethinking the Setting of Semi-supervised Learning on Graphs. Ziang Li, Ming Ding, Weikai Li, Zihan Wang, Ziyu Zeng, Yukuo Cen, Jie Tang |
| 2022 | Revealing the Excitation Causality between Climate and Political Violence via a Neural Forward-Intensity Poisson Process. Schyler C. Sun, Bailu Jin, Zhuangkun Wei, Weisi Guo |
| 2022 | Revision by Comparison for Ranking Functions. Meliha Sezgin, Gabriele Kern-Isberner |
| 2022 | Ridgeless Regression with Random Features. Jian Li, Yong Liu, Yingying Zhang |
| 2022 | RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning. Yun Zhu, Jianhao Guo, Fei Wu, Siliang Tang |
| 2022 | RoboGNN: Robustifying Node Classification under Link Perturbation. Sheng Guan, Hanchao Ma, Yinghui Wu |
| 2022 | Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. Shoujie Tong, Qingxiu Dong, Damai Dai, Yifan Song, Tianyu Liu, Baobao Chang, Zhifang Sui |
| 2022 | Robust High-Dimensional Classification From Few Positive Examples. Deepayan Chakrabarti, Benjamin Fauber |
| 2022 | Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation. Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin |
| 2022 | Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training. Peide Huang, Mengdi Xu, Fei Fang, Ding Zhao |
| 2022 | Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstruction. De Cheng, Yan Li, Dingwen Zhang, Nannan Wang, Xinbo Gao, Jiande Sun |
| 2022 | Robust Solutions for Multi-Defender Stackelberg Security Games. Dolev Mutzari, Yonatan Aumann, Sarit Kraus |
| 2022 | Robust Subset Selection by Greedy and Evolutionary Pareto Optimization. Chao Bian, Yawen Zhou, Chao Qian |
| 2022 | Robust Weight Perturbation for Adversarial Training. Chaojian Yu, Bo Han, Mingming Gong, Li Shen, Shiming Ge, Bo Du, Tongliang Liu |
| 2022 | Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment. Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa |
| 2022 | Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits. Hjalmar Wijk, Benjie Wang, Marta Kwiatkowska |
| 2022 | Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables. Frank Neumann, Carsten Witt |
| 2022 | Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract). Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye |
| 2022 | S2 Transformer for Image Captioning. Pengpeng Zeng, Haonan Zhang, Jingkuan Song, Lianli Gao |
| 2022 | S2SNet: A Pretrained Neural Network for Superconductivity Discovery. Ke Liu, Kaifan Yang, Jiahong Zhang, Renjun Xu |
| 2022 | SAR-to-Optical Image Translation via Neural Partial Differential Equations. Mingjin Zhang, Chengyu He, Jing Zhang, Yuxiang Yang, Xiaoqi Peng, Jie Guo |
| 2022 | SCMT: Self-Correction Mean Teacher for Semi-supervised Object Detection. Feng Xiong, Jiayi Tian, Zhihui Hao, Yulin He, Xiaofeng Ren |
| 2022 | SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels. Yangdi Lu, Wenbo He |
| 2022 | SGAT: Simplicial Graph Attention Network. See Hian Lee, Feng Ji, Wee Peng Tay |
| 2022 | SHAPE: An Unified Approach to Evaluate the Contribution and Cooperation of Individual Modalities. Pengbo Hu, Xingyu Li, Yi Zhou |
| 2022 | SVTR: Scene Text Recognition with a Single Visual Model. Yongkun Du, Zhineng Chen, Caiyan Jia, Xiaoting Yin, Tianlun Zheng, Chenxia Li, Yuning Du, Yu-Gang Jiang |
| 2022 | Sample Complexity Bounds for Robustly Learning Decision Lists against Evasion Attacks. Pascale Gourdeau, Varun Kanade, Marta Kwiatkowska, James Worrell |
| 2022 | SatFormer: Saliency-Guided Abnormality-Aware Transformer for Retinal Disease Classification in Fundus Image. Yankai Jiang, Ke Xu, Xinyue Wang, Yuan Li, Hongguang Cui, Yubo Tao, Hai Lin |
| 2022 | Scalable Anytime Planning for Multi-Agent MDPs (Extended Abstract). Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer |
| 2022 | Scalable ML Methods to Optimize KPIs in Real-World Manufacturing Processes. Benjamin Kovács |
| 2022 | Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method. Prathyush Sambaturu, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman, Anil Vullikanti |
| 2022 | ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise
Perspective for Medical Image Segmentation. Huimin Huang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong |
| 2022 | Scheduling with Untrusted Predictions. Evripidis Bampis, Konstantinos Dogeas, Alexander V. Kononov, Giorgio Lucarelli, Fanny Pascual |
| 2022 | Search Space Expansion for Efficient Incremental Inductive Logic Programming from Streamed Data. Mark Law, Krysia Broda, Alessandra Russo |
| 2022 | Search-Based Testing of Reinforcement Learning. Martin Tappler, Filip Cano Córdoba, Bernhard K. Aichernig, Bettina Könighofer |
| 2022 | Search-based Reinforcement Learning through Bandit Linear Optimization. Milan Peelman, Antoon Bronselaer, Guy De Tré |
| 2022 | Searching for Optimal Subword Tokenization in Cross-domain NER. Ruotian Ma, Yiding Tan, Xin Zhou, Xuanting Chen, Di Liang, Sirui Wang, Wei Wu, Tao Gui |
| 2022 | Self-Guided Hard Negative Generation for Unsupervised Person Re-Identification. Dongdong Li, Zhigang Wang, Jian Wang, Xinyu Zhang, Errui Ding, Jingdong Wang, Zhaoxiang Zhang |
| 2022 | Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning. Kyungsoo Kim, Jeongsoo Ha, Yusung Kim |
| 2022 | Self-Supervised Learning with Attention-based Latent Signal Augmentation for Sleep Staging with Limited Labeled Data. Harim Lee, Eunseon Seong, Dong-Kyu Chae |
| 2022 | Self-Supervised Mutual Learning for Dynamic Scene Reconstruction of Spiking Camera. Shiyan Chen, Chaoteng Duan, Zhaofei Yu, Ruiqin Xiong, Tiejun Huang |
| 2022 | Self-paced Supervision for Multi-source Domain Adaptation. Zengmao Wang, Chaoyang Zhou, Bo Du, Fengxiang He |
| 2022 | Self-supervised Graph Neural Networks for Multi-behavior Recommendation. Shuyun Gu, Xiao Wang, Chuan Shi, Ding Xiao |
| 2022 | Self-supervised Learning and Adaptation for Single Image Dehazing. Yudong Liang, Bin Wang, Wangmeng Zuo, Jiaying Liu, Wenqi Ren |
| 2022 | Self-supervised Semantic Segmentation Grounded in Visual Concepts. Wenbin He, William Surmeier, Arvind Kumar Shekar, Liang Gou, Liu Ren |
| 2022 | Semantic Compression Embedding for Generative Zero-Shot Learning. Ziming Hong, Shiming Chen, Guo-Sen Xie, Wenhan Yang, Jian Zhao, Yuanjie Shao, Qinmu Peng, Xinge You |
| 2022 | Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations. Sangwon Seo, Vaibhav V. Unhelkar |
| 2022 | Sequential Vaccine Allocation with Delayed Feedback. Yichen Xiao, Han-Ching Ou, Haipeng Chen, Van Thieu Nguyen, Long Tran-Thanh |
| 2022 | Set Interdependence Transformer: Set-to-Sequence Neural Networks for Permutation Learning and Structure Prediction. Mateusz Jurewicz, Leon Derczynski |
| 2022 | Shared Autonomy Systems with Stochastic Operator Models. Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes |
| 2022 | Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection. Wei Wan, Shengshan Hu, Jianrong Lu, Leo Yu Zhang, Hai Jin, Yuanyuan He |
| 2022 | Sign-to-Speech Model for Sign Language Understanding: A Case Study of Nigerian Sign Language. Steven Kolawole, Opeyemi Osakuade, Nayan Saxena, Babatunde Kazeem Olorisade |
| 2022 | Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion. Yuchen Wang, Malu Zhang, Yi Chen, Hong Qu |
| 2022 | SimMC: Simple Masked Contrastive Learning of Skeleton Representations for Unsupervised Person Re-Identification. Haocong Rao, Chunyan Miao |
| 2022 | Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning. Huijuan Wang, Siming Dai, Weiyue Su, Hui Zhong, Zeyang Fang, Zhengjie Huang, Shikun Feng, Zeyu Chen, Yu Sun, Dianhai Yu |
| 2022 | Simulating Sets in Answer Set Programming. Sarah Alice Gaggl, Philipp Hanisch, Markus Krötzsch |
| 2022 | Single-Peaked Opinion Updates. Robert Bredereck, Anne-Marie George, Jonas Israel, Leon Kellerhals |
| 2022 | Situation Calculus for Controller Synthesis in Manufacturing Systems with First-Order State Representation (Extended Abstract). Giuseppe De Giacomo, Paolo Felli, Brian Logan, Fabio Patrizi, Sebastian Sardiña |
| 2022 | SoFaiR: Single Shot Fair Representation Learning. Xavier Gitiaux, Huzefa Rangwala |
| 2022 | Socially Intelligent Genetic Agents for the Emergence of Explicit Norms. Rishabh Agrawal, Nirav Ajmeri, Munindar P. Singh |
| 2022 | Sound2Synth: Interpreting Sound via FM Synthesizer Parameters Estimation. Zui Chen, Yansen Jing, Shengcheng Yuan, Yifei Xu, Jian Wu, Hang Zhao |
| 2022 | Source-Adaptive Discriminative Kernels based Network for Remote Sensing Pansharpening. Siran Peng, Liang-Jian Deng, Jin-Fan Hu, Yu-Wei Zhuo |
| 2022 | SpanConv: A New Convolution via Spanning Kernel Space for Lightweight Pansharpening. Zhi-Xuan Chen, Cheng Jin, Tian-Jing Zhang, Xiao Wu, Liang-Jian Deng |
| 2022 | SparseTT: Visual Tracking with Sparse Transformers. Zhihong Fu, Zehua Fu, Qingjie Liu, Wenrui Cai, Yunhong Wang |
| 2022 | Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds. Heng Wang, Chaoyi Zhang, Jianhui Yu, Weidong Cai |
| 2022 | Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation. Yinan Bao, Qianwen Ma, Lingwei Wei, Wei Zhou, Songlin Hu |
| 2022 | Spiking Graph Convolutional Networks. Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen, Qi Yu, Siqiang Luo |
| 2022 | Stabilizing and Enhancing Link Prediction through Deepened Graph Auto-Encoders. Xinxing Wu, Qiang Cheng |
| 2022 | Stage-wise Stylistic Headline Generation: Style Generation and Summarized Content Insertion. Jiaao Zhan, Yang Gao, Yu Bai, Qianhui Liu |
| 2022 | Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract). Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam |
| 2022 | Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams. Matteo Tiezzi, Simone Marullo, Lapo Faggi, Enrico Meloni, Alessandro Betti, Stefano Melacci |
| 2022 | Strategy Proof Mechanisms for Facility Location with Capacity Limits. Toby Walsh |
| 2022 | Strategyproof Mechanisms for Group-Fair Facility Location Problems. Houyu Zhou, Minming Li, Hau Chan |
| 2022 | Style Fader Generative Adversarial Networks for Style Degree Controllable Artistic Style Transfer. Zhiwen Zuo, Lei Zhao, Shuobin Lian, Haibo Chen, Zhizhong Wang, Ailin Li, Wei Xing, Dongming Lu |
| 2022 | StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Translation. Peter Schaldenbrand, Zhixuan Liu, Jean Oh |
| 2022 | Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphs. Xiaohan Xu, Peng Zhang, Yongquan He, Chengpeng Chao, Chaoyang Yan |
| 2022 | Subsequence-based Graph Routing Network for Capturing Multiple Risk Propagation Processes. Rui Cheng, Qing Li |
| 2022 | Summary Markov Models for Event Sequences. Debarun Bhattacharjya, Saurabh Sihag, Oktie Hassanzadeh, Liza Bialik |
| 2022 | Survey on Efficient Training of Large Neural Networks. Julia Gusak, Daria Cherniuk, Alena Shilova, Alexandr Katrutsa, Daniel Bershatsky, Xunyi Zhao, Lionel Eyraud-Dubois, Oleh Shliazhko, Denis Dimitrov, Ivan V. Oseledets, Olivier Beaumont |
| 2022 | Survey on Graph Neural Network Acceleration: An Algorithmic Perspective. Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan, Shirui Pan, Yuan Xie |
| 2022 | SyntaSpeech: Syntax-Aware Generative Adversarial Text-to-Speech. Zhenhui Ye, Zhou Zhao, Yi Ren, Fei Wu |
| 2022 | Synthesis of Maximally Permissive Strategies for LTLf Specifications. Shufang Zhu, Giuseppe De Giacomo |
| 2022 | T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification. Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2022 | TCCNet: Temporally Consistent Context-Free Network for Semi-supervised Video Polyp Segmentation. Xiaotong Li, Jilan Xu, Yuejie Zhang, Rui Feng, Rui-Wei Zhao, Tao Zhang, Xuequan Lu, Shang Gao |
| 2022 | TGNN: A Joint Semi-supervised Framework for Graph-level Classification. Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang |
| 2022 | Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks. Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang |
| 2022 | Table2Graph: Transforming Tabular Data to Unified Weighted Graph. Kaixiong Zhou, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu |
| 2022 | Taking Situation-Based Privacy Decisions: Privacy Assistants Working with Humans. Nadin Kökciyan, Pinar Yolum |
| 2022 | Targeted Multimodal Sentiment Classification based on Coarse-to-Fine Grained Image-Target Matching. Jianfei Yu, Jieming Wang, Rui Xia, Junjie Li |
| 2022 | TaxoPrompt: A Prompt-based Generation Method with Taxonomic Context for Self-Supervised Taxonomy Expansion. Hongyuan Xu, Yunong Chen, Zichen Liu, Yanlong Wen, Xiaojie Yuan |
| 2022 | Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement. Andong Li, Shan You, Guochen Yu, Chengshi Zheng, Xiaodong Li |
| 2022 | Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs. Franck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, Ufuk Topcu |
| 2022 | Teaching LTLf Satisfiability Checking to Neural Networks. Weilin Luo, Hai Wan, Jianfeng Du, Xiaoda Li, Yuze Fu, Rongzhen Ye, Delong Zhang |
| 2022 | Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training. Xianglin Yang, Yun Lin, Ruofan Liu, Jin Song Dong |
| 2022 | Tessellation-Filtering ReLU Neural Networks. Bernhard Alois Moser, Michal Lewandowski, Somayeh Kargaran, Werner Zellinger, Battista Biggio, Christoph Koutschan |
| 2022 | Test-time Fourier Style Calibration for Domain Generalization. Xingchen Zhao, Chang Liu, Anthony Sicilia, Seong Jae Hwang, Yun Fu |
| 2022 | Text Transformations in Contrastive Self-Supervised Learning: A Review. Amrita Bhattacharjee, Mansooreh Karami, Huan Liu |
| 2022 | Text/Speech-Driven Full-Body Animation. Wenlin Zhuang, Jinwei Qi, Peng Zhang, Bang Zhang, Ping Tan |
| 2022 | The Complexity of Envy-Free Graph Cutting. Argyrios Deligkas, Eduard Eiben, Robert Ganian, Thekla Hamm, Sebastian Ordyniak |
| 2022 | The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer Relations. Marina Knittel, Samuel Dooley, John P. Dickerson |
| 2022 | The Egocentric Logic of Preferences. Junli Jiang, Pavel Naumov |
| 2022 | The Good, the Bad, and the Explainer: A Tool for Contrastive Explanations of Text Classifiers. Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani, Andrea Seveso |
| 2022 | The Limits of Morality in Strategic Games. Rui Cao, Pavel Naumov |
| 2022 | The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication (Extended Abstract). Blake E. Woodworth, Brian Bullins, Ohad Shamir, Nathan Srebro |
| 2022 | The Power of Media Agencies in Ad Auctions: Improving Utility through Coordinated Bidding. Giulia Romano, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti |
| 2022 | The Shapley Value in Machine Learning. Benedek Rozemberczki, Lauren Watson, Péter Bayer, Hao-Tsung Yang, Oliver Kiss, Sebastian Nilsson, Rik Sarkar |
| 2022 | Thompson Sampling for Bandit Learning in Matching Markets. Fang Kong, Junming Yin, Shuai Li |
| 2022 | Threshold Designer Adaptation: Improved Adaptation for Designers in Co-creative Systems. Emily Halina, Matthew Guzdial |
| 2022 | Threshold-free Pattern Mining Meets Multi-Objective Optimization: Application to Association Rules. Charles Vernerey, Samir Loudni, Noureddine Aribi, Yahia Lebbah |
| 2022 | TiRGN: Time-Guided Recurrent Graph Network with Local-Global Historical Patterns for Temporal Knowledge Graph Reasoning. Yujia Li, Shiliang Sun, Jing Zhao |
| 2022 | Tight Bounds for Hybrid Planning. Pascal Bercher, Songtuan Lin, Ron Alford |
| 2022 | Time-Constrained Participatory Budgeting Under Uncertain Project Costs. Dorothea Baumeister, Linus Boes, Christian Laußmann |
| 2022 | TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources. Dong Xing, Qian Zheng, Qianhui Liu, Gang Pan |
| 2022 | To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding. Edouard Yvinec, Arnaud Dapogny, Kevin Bailly |
| 2022 | To Trust or Not To Trust Prediction Scores for Membership Inference Attacks. Dominik Hintersdorf, Lukas Struppek, Kristian Kersting |
| 2022 | Together about Dementia. Nicklas Sindlev Andersen, Marco Chiarandini |
| 2022 | Tolerance is Necessary for Stability: Single-Peaked Swap Schelling Games. Davide Bilò, Vittorio Bilò, Pascal Lenzner, Louise Molitor |
| 2022 | TopoSeg: Topology-aware Segmentation for Point Clouds. Weiquan Liu, Hanyun Guo, Weini Zhang, Yu Zang, Cheng Wang, Jonathan Li |
| 2022 | Toward Policy Explanations for Multi-Agent Reinforcement Learning. Kayla Boggess, Sarit Kraus, Lu Feng |
| 2022 | Towards Adversarially Robust Deep Image Denoising. Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan |
| 2022 | Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li |
| 2022 | Towards Contextually Sensitive Analysis of Memes: Meme Genealogy and Knowledge Base. Victoria Sherratt |
| 2022 | Towards Controlling the Transmission of Diseases: Continuous Exposure Discovery over Massive-Scale Moving Objects. Ke Li, Lisi Chen, Shuo Shang, Haiyan Wang, Yang Liu, Panos Kalnis, Bin Yao |
| 2022 | Towards Creativity Characterization of Generative Models via Group-Based Subset Scanning. Celia Cintas, Payel Das, Brian Quanz, Girmaw Abebe Tadesse, Skyler Speakman, Pin-Yu Chen |
| 2022 | Towards Discourse-Aware Document-Level Neural Machine Translation. Xin Tan, Longyin Zhang, Fang Kong, Guodong Zhou |
| 2022 | Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach (Extended Abstract). Ashish Sharma, Inna W. Lin, Adam S. Miner, David C. Atkins, Tim Althoff |
| 2022 | Towards Joint Intent Detection and Slot Filling via Higher-order Attention. Dongsheng Chen, Zhiqi Huang, Xian Wu, Shen Ge, Yuexian Zou |
| 2022 | Towards New Optimized Artificial Immune Recognition Systems under the Belief Function Theory. Rihab Abdelkhalek |
| 2022 | Towards Resolving Propensity Contradiction in Offline Recommender Learning. Yuta Saito, Masahiro Nomura |
| 2022 | Towards Robust Dense Retrieval via Local Ranking Alignment. Xuanang Chen, Jian Luo, Ben He, Le Sun, Yingfei Sun |
| 2022 | Towards Robust Unsupervised Disentanglement of Sequential Data - A Case Study Using Music Audio. Yin-Jyun Luo, Sebastian Ewert, Simon Dixon |
| 2022 | Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk. Chengyang Ying, Xinning Zhou, Hang Su, Dong Yan, Ning Chen, Jun Zhu |
| 2022 | Towards Theoretically Grounded Evolutionary Learning. Chao Qian |
| 2022 | Towards Universal Backward-Compatible Representation Learning. Binjie Zhang, Yixiao Ge, Yantao Shen, Shupeng Su, Fanzi Wu, Chun Yuan, Xuyuan Xu, Yexin Wang, Ying Shan |
| 2022 | Towards Verifiable Federated Learning. Yanci Zhang, Han Yu |
| 2022 | Towards the Quantitative Interpretability Analysis of Citizens Happiness Prediction. Lin Li, Xiaohua Wu, Miao Kong, Dong Zhou, Xiaohui Tao |
| 2022 | Tradformer: A Transformer Model of Traditional Music Transcriptions. Luca Casini, Bob L. T. Sturm |
| 2022 | Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach. Chenxiao Yang, Qitian Wu, Jipeng Jin, Xiaofeng Gao, Junwei Pan, Guihai Chen |
| 2022 | Training Naturalized Semantic Parsers with Very Little Data. Subendhu Rongali, Konstantine Arkoudas, Melanie Rubino, Wael Hamza |
| 2022 | Transfer Learning Based Adaptive Automated Negotiating Agent Framework. Ayan Sengupta, Shinji Nakadai, Yasser Mohammad |
| 2022 | Transferability and Stability of Learning with Limited Labelled Data in Multilingual Text Document Classification. Branislav Pecher |
| 2022 | Transformer-based Objective-reinforced Generative Adversarial Network to Generate Desired Molecules. Chen Li, Chikashige Yamanaka, Kazuma Kaitoh, Yoshihiro Yamanishi |
| 2022 | Transparency, Detection and Imitation in Strategic Classification. Flavia Barsotti, Rüya Gökhan Koçer, Fernando P. Santos |
| 2022 | Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting. Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, Shirui Pan |
| 2022 | Two for One & One for All: Two-Sided Manipulation in Matching Markets. Hadi Hosseini, Fatima Umar, Rohit Vaish |
| 2022 | Two-Sided Matching over Social Networks. Sung-Ho Cho, Taiki Todo, Makoto Yokoo |
| 2022 | Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs. Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Xiaoli Li, Ru Li, Jeff Z. Pan |
| 2022 | UM4: Unified Multilingual Multiple Teacher-Student Model for Zero-Resource Neural Machine Translation. Jian Yang, Yuwei Yin, Shuming Ma, Dongdong Zhang, Shuangzhi Wu, Hongcheng Guo, Zhoujun Li, Furu Wei |
| 2022 | Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies (Extended Abstract). Paul Vicol, Luke Metz, Jascha Sohl-Dickstein |
| 2022 | Uncertainty-Aware Representation Learning for Action Segmentation. Lei Chen, Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu |
| 2022 | Uncertainty-Guided Pixel Contrastive Learning for Semi-Supervised Medical Image Segmentation. Tao Wang, Jianglin Lu, Zhihui Lai, Jiajun Wen, Heng Kong |
| 2022 | Understanding Distance Measures Among Elections. Niclas Boehmer, Piotr Faliszewski, Rolf Niedermeier, Stanislaw Szufa, Tomasz Was |
| 2022 | Understanding and Mitigating Data Contamination in Deep Anomaly Detection: A Kernel-based Approach. Shuang Wu, Jingyu Zhao, Guangjian Tian |
| 2022 | Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning. Anshuka Rangi, Haifeng Xu, Long Tran-Thanh, Massimo Franceschetti |
| 2022 | Universal Video Style Transfer via Crystallization, Separation, and Blending. Haofei Lu, Zhizhong Wang |
| 2022 | Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval. Ning Wu, Yaobo Liang, Houxing Ren, Linjun Shou, Nan Duan, Ming Gong, Daxin Jiang |
| 2022 | Unsupervised Embedding and Association Network for Multi-Object Tracking. Yu-Lei Li |
| 2022 | Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration. Di Wang, Jinyuan Liu, Xin Fan, Risheng Liu |
| 2022 | Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image Translation. Zekang Chen, Jia Wei, Rui Li |
| 2022 | Unsupervised Voice-Face Representation Learning by Cross-Modal Prototype Contrast. Boqing Zhu, Kele Xu, Changjian Wang, Zheng Qin, Tao Sun, Huaimin Wang, Yuxing Peng |
| 2022 | Updating Probability Intervals with Uncertain Inputs. Karim Tabia |
| 2022 | Using Constraint Programming and Graph Representation Learning for Generating Interpretable Cloud Security Policies. Mikhail Kazdagli, Mohit Tiwari, Akshat Kumar |
| 2022 | Utilizing Treewidth for Quantitative Reasoning on Epistemic Logic Programs (Extended Abstract). Viktor Besin, Markus Hecher, Stefan Woltran |
| 2022 | VMAgent: A Practical Virtual Machine Scheduling Platform. Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hongyuan Zha, Xiangfeng Wang |
| 2022 | Value Refinement Network (VRN). Jan Wöhlke, Felix Schmitt, Herke van Hoof |
| 2022 | Variational Learning for Unsupervised Knowledge Grounded Dialogs. Mayank Mishra, Dhiraj Madan, Gaurav Pandey, Danish Contractor |
| 2022 | Verification and Monitoring for First-Order LTL with Persistence-Preserving Quantification over Finite and Infinite Traces. Diego Calvanese, Giuseppe De Giacomo, Marco Montali, Fabio Patrizi |
| 2022 | Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification. Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng |
| 2022 | Video Frame Interpolation Based on Deformable Kernel Region. Haoyue Tian, Pan Gao, Xiaojiang Peng |
| 2022 | VidyutVanika21: An Autonomous Intelligent Broker for Smart-grids. Sanjay Chandlekar, Bala Suraj Pedasingu, Easwar Subramanian, Sanjay Bhat, Praveen Paruchuri, Sujit Gujar |
| 2022 | Vision Shared and Representation Isolated Network for Person Search. Yang Liu, Yingping Li, Chengyu Kong, Yuqiu Kong, Shenglan Liu, Feilong Wang |
| 2022 | Vision-and-Language Pretrained Models: A Survey. Siqu Long, Feiqi Cao, Soyeon Caren Han, Haiqin Yang |
| 2022 | Vision-based Intention and Trajectory Prediction in Autonomous Vehicles: A Survey. Izzeddin Teeti, Salman Khan, Ajmal Shahbaz, Andrew Bradley, Fabio Cuzzolin |
| 2022 | Visual Emotion Representation Learning via Emotion-Aware Pre-training. Yue Zhang, Wanying Ding, Ran Xu, Xiaohua Hu |
| 2022 | Visual Similarity Attention. Meng Zheng, Srikrishna Karanam, Terrence Chen, Richard J. Radke, Ziyan Wu |
| 2022 | Voting in Two-Crossing Elections. Andrei Constantinescu, Roger Wattenhofer |
| 2022 | Weakening the Influence of Clothing: Universal Clothing Attribute Disentanglement for Person Re-Identification. Yuming Yan, Huimin Yu, Shuzhao Li, Zhaohui Lu, Jianfeng He, Haozhuo Zhang, Runfa Wang |
| 2022 | Weakly-supervised Text Classification with Wasserstein Barycenters Regularization. Jihong Ouyang, Yiming Wang, Ximing Li, Changchun Li |
| 2022 | Webly-Supervised Fine-Grained Recognition with Partial Label Learning. Yu-Yan Xu, Yang Shen, Xiu-Shen Wei, Jian Yang |
| 2022 | What Does My GNN Really Capture? On Exploring Internal GNN Representations. Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet |
| 2022 | What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning. Jae Hee Lee, Matthias Kerzel, Kyra Ahrens, Cornelius Weber, Stefan Wermter |
| 2022 | When Transfer Learning Meets Cross-City Urban Flow Prediction: Spatio-Temporal Adaptation Matters. Ziquan Fang, Dongen Wu, Lu Pan, Lu Chen, Yunjun Gao |
| 2022 | When Votes Change and Committees Should (Not). Robert Bredereck, Till Fluschnik, Andrzej Kaczmarczyk |
| 2022 | Who Says What to Whom: A Survey of Multi-Party Conversations. Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling |
| 2022 | Why Bad Coffee? Explaining BDI Agent Behaviour with Valuings (Extended Abstract). Michael Winikoff, Galina Sidorenko, Virginia Dignum, Frank Dignum |
| 2022 | Zero-Shot Logit Adjustment. Dubing Chen, Yuming Shen, Haofeng Zhang, Philip H. S. Torr |
| 2022 | sunny-as2: Enhancing SUNNY for Algorithm Selection (Extended Abstract). Tong Liu, Roberto Amadini, Maurizio Gabbrielli, Jacopo Mauro |