| 2018 | "Did I Say Something Wrong?": Towards a Safe Collaborative Chatbot. Merav Chkroun, Amos Azaria |
| 2018 | 280 Birds With One Stone: Inducing Multilingual Taxonomies From Wikipedia Using Character-Level Classification. Amit Gupta, Rémi Lebret, Hamza Harkous, Karl Aberer |
| 2018 | 3D Box Proposals From a Single Monocular Image of an Indoor Scene. Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu |
| 2018 | A Batch Learning Framework for Scalable Personalized Ranking. Kuan Liu, Prem Natarajan |
| 2018 | A Bayesian Clearing Mechanism for Combinatorial Auctions. Gianluca Brero, Sébastien Lahaie |
| 2018 | A Brief History and Recent Achievements in Bidirectional Search. Nathan R. Sturtevant, Ariel Felner |
| 2018 | A Cascaded Inception of Inception Network With Attention Modulated Feature Fusion for Human Pose Estimation. Wentao Liu, Jie Chen, Cheng Li, Chen Qian, Xiao Chu, Xiaolin Hu |
| 2018 | A Change-Detection Based Framework for Piecewise-Stationary Multi-Armed Bandit Problem. Fang Liu, Joohyun Lee, Ness B. Shroff |
| 2018 | A Cognitive Assistant for Visualizing and Analyzing Exoplanets. Jeffrey O. Kephart, Victor C. Dibia, Jason B. Ellis, Biplav Srivastava, Kartik Talamadupula, Mishal Dholakia |
| 2018 | A Combinatorial-Bandit Algorithm for the Online Joint Bid/Budget Optimization of Pay-per-Click Advertising Campaigns. Alessandro Nuara, Francesco Trovò, Nicola Gatti, Marcello Restelli |
| 2018 | A Continuous Relaxation of Beam Search for End-to-End Training of Neural Sequence Models. Kartik Goyal, Graham Neubig, Chris Dyer, Taylor Berg-Kirkpatrick |
| 2018 | A Coverage-Based Utility Model for Identifying Unknown Unknowns. Gagan Bansal, Daniel S. Weld |
| 2018 | A Deep Cascade Network for Unaligned Face Attribute Classification. Hui Ding, Hao Zhou, Shaohua Kevin Zhou, Rama Chellappa |
| 2018 | A Deep Generative Framework for Paraphrase Generation. Ankush Gupta, Arvind Agarwal, Prawaan Singh, Piyush Rai |
| 2018 | A Deep Model With Local Surrogate Loss for General Cost-Sensitive Multi-Label Learning. Cheng-Yu Hsieh, Yi-An Lin, Hsuan-Tien Lin |
| 2018 | A Deep Ranking Model for Spatio-Temporal Highlight Detection From a 360◦ Video. Youngjae Yu, Sangho Lee, Joonil Na, Jaeyun Kang, Gunhee Kim |
| 2018 | A Driving License for Intelligent Systems. Martin Kandlhofer, Gerald Steinbauer |
| 2018 | A Framework and Positive Results for IAR-answering. Despoina Trivela, Giorgos Stoilos, Vasilis Vassalos |
| 2018 | A Framework for Evaluating Barriers to the Democratization of Artificial Intelligence. Colin Garvey |
| 2018 | A Framework for Multistream Regression With Direct Density Ratio Estimation. Ahsanul Haque, Hemeng Tao, Swarup Chandra, Jie Liu, Latifur Khan |
| 2018 | A General Formulation for Safely Exploiting Weakly Supervised Data. Lan-Zhe Guo, Yufeng Li |
| 2018 | A Knowledge-Grounded Neural Conversation Model. Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley |
| 2018 | A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents. Yueh-Hua Wu, Shou-De Lin |
| 2018 | A Multi-Task Learning Approach for Improving Product Title Compression with User Search Log Data. Jingang Wang, Junfeng Tian, Long Qiu, Sheng Li, Jun Lang, Luo Si, Man Lan |
| 2018 | A Multi-View Fusion Neural Network for Answer Selection. Lei Sha, Xiaodong Zhang, Feng Qian, Baobao Chang, Zhifang Sui |
| 2018 | A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction. Shamil Chollampatt, Hwee Tou Ng |
| 2018 | A Network-Specific Markov Random Field Approach to Community Detection. Dongxiao He, Xinxin You, Zhiyong Feng, Di Jin, Xue Yang, Weixiong Zhang |
| 2018 | A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations. Weiyu Cheng, Yanyan Shen, Yanmin Zhu, Linpeng Huang |
| 2018 | A Neural Stochastic Volatility Model. Rui Luo, Weinan Zhang, Xiaojun Xu, Jun Wang |
| 2018 | A Neural Transition-Based Approach for Semantic Dependency Graph Parsing. Yuxuan Wang, Wanxiang Che, Jiang Guo, Ting Liu |
| 2018 | A New Benchmark and Evaluation Schema for Chinese Typo Detection and Correction. Dingmin Wang, Gabriel Pui Cheong Fung, Maxime Debosschere, Shichao Dong, Jia Zhu, Kam-Fai Wong |
| 2018 | A Novel Embedding Method for News Diffusion Prediction. Ruoran Liu, Qiudan Li, Can Wang, Lei Wang, Daniel Dajun Zeng |
| 2018 | A Parallelizable Acceleration Framework for Packing Linear Programs. Palma London, Shai Vardi, Adam Wierman, Hanling Yi |
| 2018 | A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks. Tielin Zhang, Yi Zeng, Dongcheng Zhao, Mengting Shi |
| 2018 | A Poisson Gamma Probabilistic Model for Latent Node-Group Memberships in Dynamic Networks. Sikun Yang, Heinz Koeppl |
| 2018 | A Probabilistic Hierarchical Model for Multi-View and Multi-Feature Classification. Jinxing Li, Hongwei Yong, Bob Zhang, Mu Li, Lei Zhang, David Zhang |
| 2018 | A Provable Approach for Double-Sparse Coding. Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde |
| 2018 | A Question-Focused Multi-Factor Attention Network for Question Answering. Souvik Kundu, Hwee Tou Ng |
| 2018 | A Recursive Algorithm to Generate Balanced Weekend Tournaments. Richard Hoshino |
| 2018 | A Recursive Scenario Decomposition Algorithm for Combinatorial Multistage Stochastic Optimisation Problems. David Hemmi, Guido Tack, Mark Wallace |
| 2018 | A Regression Approach for Modeling Games With Many Symmetric Players. Bryce Wiedenbeck, Fengjun Yang, Michael P. Wellman |
| 2018 | A SAT+CAS Method for Enumerating Williamson Matrices of Even Order. Curtis Bright, Ilias S. Kotsireas, Vijay Ganesh |
| 2018 | A Semantic QA-Based Approach for Text Summarization Evaluation. Ping Chen, Fei Wu, Tong Wang, Wei Ding |
| 2018 | A Semi-Supervised Network Embedding Model for Protein Complexes Detection. Wei Zhao, Jia Zhu, Min Yang, Danyang Xiao, Gabriel Pui Cheong Fung, Xiaojun Chen |
| 2018 | A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling. Wanzheng Zhu, Chao Zhang, Shuochao Yao, Xiaobin Gao, Jiawei Han |
| 2018 | A Stratified Feature Ranking Method for Supervised Feature Selection. Renjie Chen, Xiaojun Chen, Guowen Yuan, Wenya Sun, Qingyao Wu |
| 2018 | A Two-Stage MaxSAT Reasoning Approach for the Maximum Weight Clique Problem. Hua Jiang, Chu-Min Li, Yanli Liu, Felip Manyà |
| 2018 | A Unified Implicit Dialog Framework for Conversational Commerce. Song Feng, R. Chulaka Gunasekara, Sunil Shashidhara, Kshitij P. Fadnis, Lazaros C. Polymenakos |
| 2018 | A Unified Model for Document-Based Question Answering Based on Human-Like Reading Strategy. Weikang Li, Wei Li, Yunfang Wu |
| 2018 | A Voting-Based System for Ethical Decision Making. Ritesh Noothigattu, Snehalkumar (Neil) S. Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, Ariel D. Procaccia |
| 2018 | A Water Demand Prediction Model for Central Indiana. Setu Shah, Mahmood Hosseini, Zina Ben Miled, Rebecca Shafer, Steve Berube |
| 2018 | AI Challenges in Synthetic Biology Engineering. Fusun Yaman, Aaron Adler, Jacob Beal |
| 2018 | AI Meets Chemistry. Akihiro Kishimoto, Beat Buesser, Adi Botea |
| 2018 | AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games. Neil Burch, Martin Schmid, Matej Moravcik, Dustin Morrill, Michael Bowling |
| 2018 | AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video. Nancy Xin Ru Wang, Ali Farhadi, Rajesh P. N. Rao, Bingni W. Brunton |
| 2018 | AMR Parsing With Cache Transition Systems. Xiaochang Peng, Daniel Gildea, Giorgio Satta |
| 2018 | ARC: Adversarial Robust Cuts for Semi-Supervised and Multi-Label Classification. Sima Behpour, Wei Xing, Brian D. Ziebart |
| 2018 | ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation. Chang Zhou, Jinze Bai, Junshuai Song, Xiaofei Liu, Zhengchao Zhao, Xiusi Chen, Jun Gao |
| 2018 | Abstraction Sampling in Graphical Models. Filjor Broka |
| 2018 | Accelerated Best-First Search With Upper-Bound Computation for Submodular Function Maximization. Shinsaku Sakaue, Masakazu Ishihata |
| 2018 | Accelerated Method for Stochastic Composition Optimization With Nonsmooth Regularization. Zhouyuan Huo, Bin Gu, Ji Liu, Heng Huang |
| 2018 | Accelerated Training for Massive Classification via Dynamic Class Selection. Xingcheng Zhang, Lei Yang, Junjie Yan, Dahua Lin |
| 2018 | Acquiring Common Sense Spatial Knowledge Through Implicit Spatial Templates. Guillem Collell, Luc Van Gool, Marie-Francine Moens |
| 2018 | Action Branching Architectures for Deep Reinforcement Learning. Arash Tavakoli, Fabio Pardo, Petar Kormushev |
| 2018 | Action Prediction From Videos via Memorizing Hard-to-Predict Samples. Yu Kong, Shangqian Gao, Bin Sun, Yun Fu |
| 2018 | Action Recognition From Skeleton Data via Analogical Generalization Over Qualitative Representations. Kezhen Chen, Kenneth D. Forbus |
| 2018 | Action Recognition With Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion. Weiyao Lin, Chongyang Zhang, Ke Lu, Bin Sheng, Jianxin Wu, Bingbing Ni, Xin Liu, Hongkai Xiong |
| 2018 | Action Schema Networks: Generalised Policies With Deep Learning. Sam Toyer, Felipe W. Trevizan, Sylvie Thiébaux, Lexing Xie |
| 2018 | Actionable Email Intent Modeling With Reparametrized RNNs. Chu-Cheng Lin, Dongyeop Kang, Michael Gamon, Patrick Pantel |
| 2018 | Active Lifelong Learning With "Watchdog". Gan Sun, Yang Cong, Xiaowei Xu |
| 2018 | AdGAP: Advanced Global Average Pooling. Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury |
| 2018 | AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training. Chia-Yu Chen, Jungwook Choi, Daniel Brand, Ankur Agrawal, Wei Zhang, Kailash Gopalakrishnan |
| 2018 | AdaFlock: Adaptive Feature Discovery for Human-in-the-loop Predictive Modeling. Ryusuke Takahama, Yukino Baba, Nobuyuki Shimizu, Sumio Fujita, Hisashi Kashima |
| 2018 | Adapting a Kidney Exchange Algorithm to Align With Human Values. Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer |
| 2018 | Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees. Dennis J. N. J. Soemers, Tim Brys, Kurt Driessens, Mark H. M. Winands, Ann Nowé |
| 2018 | Adaptive Co-attention Network for Named Entity Recognition in Tweets. Qi Zhang, Jinlan Fu, Xiaoyu Liu, Xuanjing Huang |
| 2018 | Adaptive Feature Abstraction for Translating Video to Text. Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin |
| 2018 | Adaptive Graph Convolutional Neural Networks. Ruoyu Li, Sheng Wang, Feiyun Zhu, Junzhou Huang |
| 2018 | Adaptive Quantization for Deep Neural Network. Yiren Zhou, Seyed-Mohsen Moosavi-Dezfooli, Ngai-Man Cheung, Pascal Frossard |
| 2018 | Adaptive and Dynamic Team Formation for Strategic and Tactical Planning. Sara Marie McCarthy |
| 2018 | Addressee and Response Selection in Multi-Party Conversations With Speaker Interaction RNNs. Rui Zhang, Honglak Lee, Lazaros Polymenakos, Dragomir R. Radev |
| 2018 | Addressing the Technical, Philosophical, and Ethical Issues of Artificial Intelligence Through Active Learning Class Assignments. Pamela K. Fink |
| 2018 | Adversarial Discriminative Heterogeneous Face Recognition. Lingxiao Song, Man Zhang, Xiang Wu, Ran He |
| 2018 | Adversarial Dropout for Supervised and Semi-Supervised Learning. Sungrae Park, Jun-Keon Park, Su-Jin Shin, Il-Chul Moon |
| 2018 | Adversarial Goal Generation for Intrinsic Motivation. Ishan Durugkar, Peter Stone |
| 2018 | Adversarial Learning for Chinese NER From Crowd Annotations. YaoSheng Yang, Meishan Zhang, Wenliang Chen, Wei Zhang, Haofen Wang, Min Zhang |
| 2018 | Adversarial Learning of Portable Student Networks. Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao |
| 2018 | Adversarial Network Embedding. Quanyu Dai, Qiang Li, Jian Tang, Dan Wang |
| 2018 | Adversarial Zero-shot Learning With Semantic Augmentation. Bin Tong, Martin Klinkigt, Junwen Chen, Xiankun Cui, Quan Kong, Tomokazu Murakami, Yoshiyuki Kobayashi |
| 2018 | Adversary Is the Best Teacher: Towards Extremely Compact Neural Networks. Ameya Prabhu, Harish Krishna, Soham Saha |
| 2018 | Agent Assist: Automating Enterprise IT Support Help Desks. Senthil Mani, Neelamadhav Gantayat, Rahul Aralikatte, Monika Gupta, Sampath Dechu, Anush Sankaran, Shreya Khare, Barry Mitchell, Hemamalini Subramanian, Hema Venkatarangan |
| 2018 | Aida: Intelligent Image Analysis to Automatically Detect Poems in Digital Archives of Historic Newspapers. Leen-Kiat Soh, Elizabeth Lorang, Yi Liu |
| 2018 | Algorithms for Generalized Topic Modeling. Avrim Blum, Nika Haghtalab |
| 2018 | Algorithms for Trip-Vehicle Assignment in Ride-Sharing. Xiaohui Bei, Shengyu Zhang |
| 2018 | Allocation Problems in Ride-Sharing Platforms: Online Matching With Offline Reusable Resources. John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu |
| 2018 | Alternating Circulant Random Features for Semigroup Kernels. Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada |
| 2018 | Alternating Optimisation and Quadrature for Robust Control. Supratik Paul, Konstantinos I. Chatzilygeroudis, Kamil Ciosek, Jean-Baptiste Mouret, Michael A. Osborne, Shimon Whiteson |
| 2018 | An AI Planning Solution to Scenario Generation for Enterprise Risk Management. Shirin Sohrabi, Anton V. Riabov, Michael Katz, Octavian Udrea |
| 2018 | An Adversarial Hierarchical Hidden Markov Model for Human Pose Modeling and Generation. Rui Zhao, Qiang Ji |
| 2018 | An Ant-Based Algorithm to Solve Distributed Constraint Optimization Problems. Ziyu Chen, Tengfei Wu, Yanchen Deng, Cheng Zhang |
| 2018 | An Automated Employee Timetabling System for Small Businesses. Richard Hoshino, Aaron Slobodin, William Bernoudy |
| 2018 | An Axiomatization of the Eigenvector and Katz Centralities. Tomasz Was, Oskar Skibski |
| 2018 | An E-Learning Recommender That Helps Learners Find the Right Materials. Blessing Mbipom, Stewart Massie, Susan Craw |
| 2018 | An Efficient, Expressive and Local Minima-Free Method for Learning Controlled Dynamical Systems. Ahmed Hefny, Carlton Downey, Geoffrey J. Gordon |
| 2018 | An End-to-End Deep Learning Architecture for Graph Classification. Muhan Zhang, Zhicheng Cui, Marion Neumann, Yixin Chen |
| 2018 | An Euclidean Distance Based on Tensor Product Graph Diffusion Related Attribute Value Embedding for Nominal Data Clustering. Lei Gu, Ningning Zhou, Yang Zhao |
| 2018 | An Experimental Study of Advice in Sequential Decision-Making Under Uncertainty. Florian Benavent, Bruno Zanuttini |
| 2018 | An Interactive Multi-Label Consensus Labeling Model for Multiple Labeler Judgments. Ashish Kulkarni, Narasimha Raju Uppalapati, Pankaj Singh, Ganesh Ramakrishnan |
| 2018 | An Interpretable Generative Adversarial Approach to Classification of Latent Entity Relations in Unstructured Sentences. Shiou Tian Hsu, Changsung Moon, Paul Jones, Nagiza F. Samatova |
| 2018 | An Interpretable Joint Graphical Model for Fact-Checking From Crowds. An T. Nguyen, Aditya Kharosekar, Matthew Lease, Byron C. Wallace |
| 2018 | An Optimal Online Method of Selecting Source Policies for Reinforcement Learning. Siyuan Li, Chongjie Zhang |
| 2018 | An Unsupervised Model With Attention Autoencoders for Question Retrieval. Minghua Zhang, Yunfang Wu |
| 2018 | Anchors: High-Precision Model-Agnostic Explanations. Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin |
| 2018 | Answering Regular Path Queries over SQ Ontologies. Víctor Gutiérrez-Basulto, Yazmín Angélica Ibáñez-García, Jean Christoph Jung |
| 2018 | Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification. Yi Li, Lingxiao Song, Xiang Wu, Ran He, Tieniu Tan |
| 2018 | Anytime Anyspace AND/OR Best-First Search for Bounding Marginal MAP. Qi Lou, Rina Dechter, Alexander Ihler |
| 2018 | Approximate Inference via Weighted Rademacher Complexity. Jonathan Kuck, Ashish Sabharwal, Stefano Ermon |
| 2018 | Approximate Vanishing Ideal via Data Knotting. Hiroshi Kera, Yoshihiko Hasegawa |
| 2018 | Approximate and Exact Enumeration of Rule Models. Satoshi Hara, Masakazu Ishihata |
| 2018 | Approximately Stable Matchings With Budget Constraints. Yasushi Kawase, Atsushi Iwasaki |
| 2018 | Approximating Bribery in Scoring Rules. Orgad Keller, Avinatan Hassidim, Noam Hazon |
| 2018 | Approximation-Variance Tradeoffs in Facility Location Games. Ariel D. Procaccia, David Wajc, Hanrui Zhang |
| 2018 | Argument Mining for Improving the Automated Scoring of Persuasive Essays. Huy V. Nguyen, Diane J. Litman |
| 2018 | Armstrong's Axioms and Navigation Strategies. Kaya Deuser, Pavel Naumov |
| 2018 | Asking Friendly Strangers: Non-Semantic Attribute Transfer. Nils Murrugarra-Llerena, Adriana Kovashka |
| 2018 | Assertion-Based QA With Question-Aware Open Information Extraction. Zhao Yan, Duyu Tang, Nan Duan, Shujie Liu, Wendi Wang, Daxin Jiang, Ming Zhou, Zhoujun Li |
| 2018 | Assessing National Development Plans for Alignment With Sustainable Development Goals via Semantic Search. Jonathan Galsurkar, Moninder Singh, Lingfei Wu, Aditya Vempaty, Mikhail Sushkov, Devika Iyer, Serge Kapto, Kush R. Varshney |
| 2018 | Asymmetric Action Abstractions for Multi-Unit Control in Adversarial Real-Time Games. Rubens O. Moraes, Levi H. S. Lelis |
| 2018 | Asymmetric Deep Supervised Hashing. Qing-Yuan Jiang, Wu-Jun Li |
| 2018 | Asymmetric Joint Learning for Heterogeneous Face Recognition. Bing Cao, Nannan Wang, Xinbo Gao, Jie Li |
| 2018 | Asynchronous Bidirectional Decoding for Neural Machine Translation. Xiangwen Zhang, Jinsong Su, Yue Qin, Yang Liu, Rongrong Ji, Hongji Wang |
| 2018 | Asynchronous Doubly Stochastic Sparse Kernel Learning. Bin Gu, Miao Xin, Zhouyuan Huo, Heng Huang |
| 2018 | Attend and Diagnose: Clinical Time Series Analysis Using Attention Models. Huan Song, Deepta Rajan, Jayaraman J. Thiagarajan, Andreas Spanias |
| 2018 | Attention-Based Transactional Context Embedding for Next-Item Recommendation. Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu |
| 2018 | Attention-based Belief or Disbelief Feature Extraction for Dependency Parsing. Haoyuan Peng, Lu Liu, Yi Zhou, Junying Zhou, Xiaoqing Zheng |
| 2018 | Attention-via-Attention Neural Machine Translation. Shenjian Zhao, Zhihua Zhang |
| 2018 | Audio Visual Attribute Discovery for Fine-Grained Object Recognition. Hua Zhang, Xiaochun Cao, Rui Wang |
| 2018 | Augmenting End-to-End Dialogue Systems With Commonsense Knowledge. Tom Young, Erik Cambria, Iti Chaturvedi, Hao Zhou, Subham Biswas, Minlie Huang |
| 2018 | Auto-Balanced Filter Pruning for Efficient Convolutional Neural Networks. Xiaohan Ding, Guiguang Ding, Jungong Han, Sheng Tang |
| 2018 | AutoEncoder by Forest. Ji Feng, Zhi-Hua Zhou |
| 2018 | Automated Question Answering System for Community-Based Questions. Chanin Pithyaachariyakul, Anagha Kulkarni |
| 2018 | Automated Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Contour Fragments. Youyi Song, Jing Qin, Baiying Lei, Kup-Sze Choi |
| 2018 | Automatic Generation of Text Descriptive Comments for Code Blocks. Yuding Liang, Kenny Qili Zhu |
| 2018 | Automatic Model Selection in Subspace Clustering via Triplet Relationships. Jufeng Yang, Jie Liang, Kai Wang, Yong-Liang Yang, Ming-Ming Cheng |
| 2018 | Automatic Parameter Tying: A New Approach for Regularized Parameter Learning in Markov Networks. Li Chou, Pracheta Sahoo, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate |
| 2018 | Automatic Segmentation of Data Sequences. Liangzhe Chen, Sorour E. Amiri, B. Aditya Prakash |
| 2018 | Average-Case Approximation Ratio of Scheduling Without Payments. Jie Zhang |
| 2018 | Avoiding Dead Ends in Real-Time Heuristic Search. Bence Cserna, William J. Doyle, Jordan S. Ramsdell, Wheeler Ruml |
| 2018 | Axioms for Distance-Based Centralities. Oskar Skibski, Jadwiga Sosnowska |
| 2018 | BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems. Zachary C. Lipton, Xiujun Li, Jianfeng Gao, Lihong Li, Faisal Ahmed, Li Deng |
| 2018 | BaitBuster: A Clickbait Identification Framework. Md Main Uddin Rony, Naeemul Hassan, Mohammad Yousuf |
| 2018 | Balanced Clustering via Exclusive Lasso: A Pragmatic Approach. Zhihui Li, Feiping Nie, Xiaojun Chang, Zhigang Ma, Yi Yang |
| 2018 | Balancing Lexicographic Fairness and a Utilitarian Objective With Application to Kidney Exchange. Duncan C. McElfresh, John P. Dickerson |
| 2018 | Balancing Lexicographic Fairness and a Utilitarian Objective With Application to Kidney Exchange. Duncan C. McElfresh, John P. Dickerson |
| 2018 | Bandit-Based Solar Panel Control. David Abel, Edward C. Williams, Stephen Brawner, Emily Reif, Michael L. Littman |
| 2018 | Batchwise Patching of Classifiers. Sebastian Kauschke, Johannes Fürnkranz |
| 2018 | Batting Order Setup in One Day International Cricket. Masoumeh Izadi, Simranjeet Narula |
| 2018 | Bayesian Functional Optimization. Ngo Anh Vien, Heiko Zimmermann, Marc Toussaint |
| 2018 | Bayesian Network Structure Learning: The Two-Step Clustering-Based Algorithm. Yikun Zhang, Jiming Liu, Yang Liu |
| 2018 | Bayesian Optimization Meets Search Based Optimization: A Hybrid Approach for Multi-Fidelity Optimization. Ellis Hoag, Janardhan Rao Doppa |
| 2018 | Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure. Aleksandar Bojchevski, Stephan Günnemann |
| 2018 | Bayesian Verb Sense Clustering. Daniel W. Peterson, Martha Palmer |
| 2018 | Behavior Is Everything: Towards Representing Concepts with Sensorimotor Contingencies. Nicholas Hay, Michael Stark, Alexander Schlegel, Carter Wendelken, Dennis Park, Eric Purdy, Tom Silver, D. Scott Phoenix, Dileep George |
| 2018 | Belief Reward Shaping in Reinforcement Learning. Ofir Marom, Benjamin Rosman |
| 2018 | Bernoulli Embeddings for Graphs. Vinith Misra, Sumit Bhatia |
| 2018 | Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning. Nina Grgic-Hlaca, Muhammad Bilal Zafar, Krishna P. Gummadi, Adrian Weller |
| 2018 | Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space. Muhan Zhang, Zhicheng Cui, Shali Jiang, Yixin Chen |
| 2018 | Beyond Sparsity: Tree Regularization of Deep Models for Interpretability. Mike Wu, Michael C. Hughes, Sonali Parbhoo, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez |
| 2018 | Binary Generative Adversarial Networks for Image Retrieval. Jingkuan Song, Tao He, Lianli Gao, Xing Xu, Alan Hanjalic, Heng Tao Shen |
| 2018 | Boosted Generative Models. Aditya Grover, Stefano Ermon |
| 2018 | Brute-Force Facial Landmark Analysis With a 140, 000-Way Classifier. Mengtian Li, László A. Jeni, Deva Ramanan |
| 2018 | Budget-Constrained Multi-Armed Bandits With Multiple Plays. Datong P. Zhou, Claire J. Tomlin |
| 2018 | Building Continuous Occupancy Maps With Moving Robots. Ransalu Senanayake, Fabio Ramos |
| 2018 | Building Deep Networks on Grassmann Manifolds. Zhiwu Huang, Jiqing Wu, Luc Van Gool |
| 2018 | Building More Explainable Artificial Intelligence With Argumentation. Zhiwei Zeng, Chunyan Miao, Cyril Leung, Jing Jih Chin |
| 2018 | Byte-Level Machine Reading Across Morphologically Varied Languages. Tom Kenter, Llion Jones, Daniel Hewlett |
| 2018 | CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity. Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He |
| 2018 | CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition. Jingyuan Wang, Xu He, Ze Wang, Junjie Wu, Nicholas Jing Yuan, Xing Xie, Zhang Xiong |
| 2018 | CMCGAN: A Uniform Framework for Cross-Modal Visual-Audio Mutual Generation. Wang-Li Hao, Zhaoxiang Zhang, He Guan |
| 2018 | COSINE: Community-Preserving Social Network Embedding From Information Diffusion Cascades. Yuan Zhang, Tianshu Lyu, Yan Zhang |
| 2018 | CRM Sales Prediction Using Continuous Time-Evolving Classification. Mohamoud Ali, Yugyung Lee |
| 2018 | CSWA: Aggregation-Free Spatial-Temporal Community Sensing. Jiang Bian, Haoyi Xiong, Yanjie Fu, Sajal K. Das |
| 2018 | Canonical Correlation Inference for Mapping Abstract Scenes to Text. Nikos Papasarantopoulos, Helen Jiang, Shay B. Cohen |
| 2018 | Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface. Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots, Boualem Benatallah |
| 2018 | Catching Captain Jack: Efficient Time and Space Dependent Patrols to Combat Oil-Siphoning in International Waters. Xinrun Wang, Bo An, Martin Strobel, Fookwai Kong |
| 2018 | Cellular Network Traffic Scheduling With Deep Reinforcement Learning. Sandeep Chinchali, Pan Hu, Tianshu Chu, Manu Sharma, Manu Bansal, Rakesh Misra, Marco Pavone, Sachin Katti |
| 2018 | Char-Net: A Character-Aware Neural Network for Distorted Scene Text Recognition. Wei Liu, Chaofeng Chen, Kwan-Yee K. Wong |
| 2018 | Characterization of the Convex Łukasiewicz Fragment for Learning From Constraints. Francesco Giannini, Michelangelo Diligenti, Marco Gori, Marco Maggini |
| 2018 | Chinese LIWC Lexicon Expansion via Hierarchical Classification of Word Embeddings with Sememe Attention. Xiangkai Zeng, Cheng Yang, Cunchao Tu, Zhiyuan Liu, Maosong Sun |
| 2018 | Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary. Masataro Asai, Alex Fukunaga |
| 2018 | Classification of Malware by Using Structural Entropy on Convolutional Neural Networks. Daniel Gibert, Carles Mateu, Jordi Planes, Ramon Vicens |
| 2018 | Clustering - What Both Theoreticians and Practitioners Are Doing Wrong. Shai Ben-David |
| 2018 | Clustering Small Samples With Quality Guarantees: Adaptivity With One2all PPS. Edith Cohen, Shiri Chechik, Haim Kaplan |
| 2018 | Co-Attending Free-Form Regions and Detections With Multi-Modal Multiplicative Feature Embedding for Visual Question Answering. Pan Lu, Hongsheng Li, Wei Zhang, Jianyong Wang, Xiaogang Wang |
| 2018 | Co-Domain Embedding Using Deep Quadruplet Networks for Unseen Traffic Sign Recognition. Junsik Kim, Seokju Lee, Tae-Hyun Oh, In So Kweon |
| 2018 | Co-Saliency Detection Within a Single Image. Hongkai Yu, Kang Zheng, Jianwu Fang, Hao Guo, Wei Feng, Song Wang |
| 2018 | CoChat: Enabling Bot and Human Collaboration for Task Completion. Xufang Luo, Zijia Lin, Yunhong Wang, Zaiqing Nie |
| 2018 | CoDiNMF: Co-Clustering of Directed Graphs via NMF. Woosang Lim, Rundong Du, Haesun Park |
| 2018 | CoLink: An Unsupervised Framework for User Identity Linkage. Zexuan Zhong, Yong Cao, Mu Guo, Zaiqing Nie |
| 2018 | Coalition Manipulation of Gale-Shapley Algorithm. Weiran Shen, Pingzhong Tang, Yuan Deng |
| 2018 | Cognition-Cognizant Sentiment Analysis With Multitask Subjectivity Summarization Based on Annotators' Gaze Behavior. Abhijit Mishra, Srikanth Tamilselvam, Riddhiman Dasgupta, Seema Nagar, Kuntal Dey |
| 2018 | Collaborative Filtering With Social Exposure: A Modular Approach to Social Recommendation. Menghan Wang, Xiaolin Zheng, Yang Yang, Kun Zhang |
| 2018 | Collaborative Filtering With User-Item Co-Autoregressive Models. Chao Du, Chongxuan Li, Yin Zheng, Jun Zhu, Bo Zhang |
| 2018 | Combining Experts' Causal Judgments. Dalal Alrajeh, Hana Chockler, Joseph Y. Halpern |
| 2018 | Combining Rules and Ontologies into Clopen Knowledge Bases. Labinot Bajraktari, Magdalena Ortiz, Mantas Simkus |
| 2018 | Committee Selection with Intraclass and Interclass Synergies. Rani Izsak, Nimrod Talmon, Gerhard J. Woeginger |
| 2018 | Community Detection in Attributed Graphs: An Embedding Approach. Ye Li, Chaofeng Sha, Xin Huang, Yanchun Zhang |
| 2018 | Community-Based Trip Sharing for Urban Commuting. Mohd. Hafiz Hasan, Pascal Van Hentenryck, Ceren Budak, Jiayu Chen, Chhavi Chaudhry |
| 2018 | Compact Multi-Label Learning. Xiaobo Shen, Weiwei Liu, Ivor W. Tsang, Quan-Sen Sun, Yew-Soon Ong |
| 2018 | Comparing Population Means Under Local Differential Privacy: With Significance and Power. Bolin Ding, Harsha Nori, Paul Li, Joshua Allen |
| 2018 | Comparing Reward Shaping, Visual Hints, and Curriculum Learning. Rey Pocius, David Isele, Mark Roberts, David W. Aha |
| 2018 | Compatibility Family Learning for Item Recommendation and Generation. Yong-Siang Shih, Kai-Yueh Chang, Hsuan-Tien Lin, Min Sun |
| 2018 | Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph. Amrita Saha, Vardaan Pahuja, Mitesh M. Khapra, Karthik Sankaranarayanan, Sarath Chandar |
| 2018 | Complexity of Optimally Defending and Attacking a Network. Kamran Najeebullah |
| 2018 | Complexity of Verification in Incomplete Argumentation Frameworks. Dorothea Baumeister, Daniel Neugebauer, Jörg Rothe, Hilmar Schadrack |
| 2018 | Compressed Sensing MRI Using a Recursive Dilated Network. Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John W. Paisley |
| 2018 | Computation Error Analysis of Block Floating Point Arithmetic Oriented Convolution Neural Network Accelerator Design. Zhourui Song, Zhenyu Liu, Dongsheng Wang |
| 2018 | Computational Results for Extensive-Form Adversarial Team Games. Andrea Celli, Nicola Gatti |
| 2018 | Computational Social Choice and Computational Complexity: BFFs? Lane A. Hemaspaandra |
| 2018 | Computer-Assisted Authoring for Natural Language Story Scripts. Rushit Sanghrajka, Wojciech Witon, Sasha Schriber, Markus H. Gross, Mubbasir Kapadia |
| 2018 | Computing the Strategy to Commit to in Polymatrix Games. Giuseppe De Nittis, Alberto Marchesi, Nicola Gatti |
| 2018 | Conditional Linear Regression. Diego Calderon, Brendan Juba, Zongyi Li, Lisa Ruan |
| 2018 | Conditional PSDDs: Modeling and Learning With Modular Knowledge. Yujia Shen, Arthur Choi, Adnan Darwiche |
| 2018 | Confidence-Aware Matrix Factorization for Recommender Systems. Chao Wang, Qi Liu, Runze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang |
| 2018 | Consistent and Specific Multi-View Subspace Clustering. Shirui Luo, Changqing Zhang, Wei Zhang, Xiaochun Cao |
| 2018 | Consonant-Vowel Sequences as Subword Units for Code-Mixed Languages. Upendra Kumar, Vishal Singh, Chris Andrew Gadde, Santhoshini Reddy, Amitava Das |
| 2018 | Constraint Satisfaction Techniques for Combinatorial Problems. David E. Narváez |
| 2018 | Constructing Domain-Specific Search Engines With No Programming. Mayank Kejriwal, Pedro A. Szekely |
| 2018 | Constructing Hierarchical Bayesian Networks With Pooling. Kaneharu Nishino, Mary Inaba |
| 2018 | Constructive Preference Elicitation Over Hybrid Combinatorial Spaces. Paolo Dragone, Stefano Teso, Andrea Passerini |
| 2018 | Content and Context: Two-Pronged Bootstrapped Learning for Regex-Formatted Entity Extraction. Stanley Simoes, Deepak P, Munu Sairamesh, Deepak Khemani, Sameep Mehta |
| 2018 | Context Aware Conversational Understanding for Intelligent Agents With a Screen. Vishal Ishwar Naik, Angeliki Metallinou, Rahul Goel |
| 2018 | Context-Aware Symptom Checking for Disease Diagnosis Using Hierarchical Reinforcement Learning. Hao-Cheng Kao, Kai-Fu Tang, Edward Y. Chang |
| 2018 | Contextual Collaborative Filtering for Student Response Prediction in Mixed-Format Tests. Shumin Jing, Sheng Li |
| 2018 | Contrastive Training for Models of Information Cascades. Shaobin Xu, David A. Smith |
| 2018 | Control Argumentation Frameworks. Yannis Dimopoulos, Jean-Guy Mailly, Pavlos Moraitis |
| 2018 | Controlling Global Statistics in Recurrent Neural Network Text Generation. Thanapon Noraset, David Demeter, Doug Downey |
| 2018 | Conversational Model Adaptation via KL Divergence Regularization. Juncen Li, Ping Luo, Fen Lin, Bo Chen |
| 2018 | Convolutional 2D Knowledge Graph Embeddings. Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel |
| 2018 | Cooperative Games With Bounded Dependency Degree. Ayumi Igarashi, Rani Izsak, Edith Elkind |
| 2018 | Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching. Jianwen Xie, Yang Lu, Ruiqi Gao, Ying Nian Wu |
| 2018 | Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition. Pichao Wang, Wanqing Li, Jun Wan, Philip Ogunbona, Xinwang Liu |
| 2018 | Core Dependency Networks. Alejandro Molina, Alexander Munteanu, Kristian Kersting |
| 2018 | Counterfactual Multi-Agent Policy Gradients. Jakob N. Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon Whiteson |
| 2018 | Counting Linear Extensions in Practice: MCMC Versus Exponential Monte Carlo. Topi Talvitie, Kustaa Kangas, Teppo Mikael Niinimäki, Mikko Koivisto |
| 2018 | Coupled Deep Learning for Heterogeneous Face Recognition. Xiang Wu, Lingxiao Song, Ran He, Tieniu Tan |
| 2018 | Coupled Poisson Factorization Integrated With User/Item Metadata for Modeling Popular and Sparse Ratings in Scalable Recommendation. Trong Dinh Thac Do, Longbing Cao |
| 2018 | Cross Temporal Recurrent Networks for Ranking Question Answer Pairs. Yi Tay, Luu Anh Tuan, Siu Cheung Hui |
| 2018 | Cross-Domain Human Parsing via Adversarial Feature and Label Adaptation. Si Liu, Yao Sun, Defa Zhu, Guanghui Ren, Yu Chen, Jiashi Feng, Jizhong Han |
| 2018 | Cross-Lingual Entity Linking for Web Tables. Xusheng Luo, Kangqi Luo, Xianyang Chen, Kenny Q. Zhu |
| 2018 | Cross-Lingual Learning With Distributed Representations. Matús Pikuliak |
| 2018 | Cross-Lingual Propagation for Deep Sentiment Analysis. Xin Dong, Gerard de Melo |
| 2018 | Cross-View Person Identification by Matching Human Poses Estimated With Confidence on Each Body Joint. Guoqiang Liang, Xuguang Lan, Kang Zheng, Song Wang, Nanning Zheng |
| 2018 | Curve-Structure Segmentation From Depth Maps: A CNN-Based Approach and Its Application to Exploring Cultural Heritage Objects. Yuhang Lu, Jun Zhou, Jing Wang, Jun Chen, Karen Y. Smith, Colin Wilder, Song Wang |
| 2018 | Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models. Bing Liu, Tong Yu, Ian R. Lane, Ole J. Mengshoel |
| 2018 | DF Yabei Li, Junge Zhang, Yanhua Cheng, Kaiqi Huang, Tieniu Tan |
| 2018 | DID: Distributed Incremental Block Coordinate Descent for Nonnegative Matrix Factorization. Tianxiang Gao, Chris Chu |
| 2018 | DLPaper2Code: Auto-Generation of Code From Deep Learning Research Papers. Akshay Sethi, Anush Sankaran, Naveen Panwar, Shreya Khare, Senthil Mani |
| 2018 | DarkEmbed: Exploit Prediction With Neural Language Models. Nazgol Tavabi, Palash Goyal, Mohammed Almukaynizi, Paulo Shakarian, Kristina Lerman |
| 2018 | DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer. Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang |
| 2018 | Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges. Yukino Baba, Tomoumi Takase, Kyohei Atarashi, Satoshi Oyama, Hisashi Kashima |
| 2018 | Data Poisoning Attacks on Multi-Task Relationship Learning. Mengchen Zhao, Bo An, Yaodong Yu, Sulin Liu, Sinno Jialin Pan |
| 2018 | Data-Dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion. Hitoshi Manabe, Katsuhiko Hayashi, Masashi Shimbo |
| 2018 | Dataset Evolver: An Interactive Feature Engineering Notebook. Fatemeh Nargesian, Udayan Khurana, Tejaswini Pedapati, Horst Samulowitz, Deepak S. Turaga |
| 2018 | Death vs. Data Science: Predicting End of Life. Muhammad A. Ahmad, Carly Eckert, Greg McKelvey, Kiyana Zolfaghar, Anam Zahid, Ankur Teredesai |
| 2018 | Decentralised Learning in Systems With Many, Many Strategic Agents. David Mguni, Joel Jennings, Enrique Munoz de Cote |
| 2018 | Decentralized High-Dimensional Bayesian Optimization With Factor Graphs. Trong Nghia Hoang, Quang Minh Hoang, Ruofei Ouyang, Kian Hsiang Low |
| 2018 | Deception Detection in Videos. Zhe Wu, Bharat Singh, Larry S. Davis, V. S. Subrahmanian |
| 2018 | Decision Making Over Combinatorially-Structured Domains. Andrea Martin, K. Brent Venable |
| 2018 | Decomposition Strategies for Constructive Preference Elicitation. Paolo Dragone, Stefano Teso, Mohit Kumar, Andrea Passerini |
| 2018 | Decomposition-Based Solving Approaches for Stochastic Constraint Optimisation. David Hemmi |
| 2018 | Deconvolutional Latent-Variable Model for Text Sequence Matching. Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin |
| 2018 | Decoupled Convolutions for CNNs. Guotian Xie, Ting Zhang, Kuiyuan Yang, Jianhuang Lai, Jingdong Wang |
| 2018 | Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation. Daixin Wang, Peng Cui, Wenwu Zhu |
| 2018 | Deep Embedding for Determining the Number of Clusters. Yiqi Wang, Zhan Shi, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin |
| 2018 | Deep Learning for Case-Based Reasoning Through Prototypes: A Neural Network That Explains Its Predictions. Oscar Li, Hao Liu, Chaofan Chen, Cynthia Rudin |
| 2018 | Deep Learning from Crowds. Filipe Rodrigues, Francisco C. Pereira |
| 2018 | Deep Low-Resolution Person Re-Identification. Jiening Jiao, Wei-Shi Zheng, Ancong Wu, Xiatian Zhu, Shaogang Gong |
| 2018 | Deep Mars: CNN Classification of Mars Imagery for the PDS Imaging Atlas. Kiri L. Wagstaff, You Lu, Alice Stanboli, Kevin Grimes, Thamme Gowda, Jordan Padams |
| 2018 | Deep Modeling of Social Relations for Recommendation. Wenqi Fan, Qing Li, Min Cheng |
| 2018 | Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction. Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li |
| 2018 | Deep Neural Network Compression With Single and Multiple Level Quantization. Yuhui Xu, Yongzhuang Wang, Aojun Zhou, Weiyao Lin, Hongkai Xiong |
| 2018 | Deep Q-learning From Demonstrations. Todd Hester, Matej Vecerík, Olivier Pietquin, Marc Lanctot, Tom Schaul, Bilal Piot, Dan Horgan, John Quan, Andrew Sendonaris, Ian Osband, Gabriel Dulac-Arnold, John P. Agapiou, Joel Z. Leibo, Audrunas Gruslys |
| 2018 | Deep Region Hashing for Generic Instance Search from Images. Jingkuan Song, Tao He, Lianli Gao, Xing Xu, Heng Tao Shen |
| 2018 | Deep Reinforcement Learning That Matters. Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger |
| 2018 | Deep Reinforcement Learning for Unsupervised Video Summarization With Diversity-Representativeness Reward. Kaiyang Zhou, Yu Qiao, Tao Xiang |
| 2018 | Deep Representation-Decoupling Neural Networks for Monaural Music Mixture Separation. Zhuo Li, Hongwei Wang, Miao Zhao, Wenjie Li, Minyi Guo |
| 2018 | Deep Semantic Role Labeling With Self-Attention. Zhixing Tan, Mingxuan Wang, Jun Xie, Yidong Chen, Xiaodong Shi |
| 2018 | Deep Semantic Structural Constraints for Zero-Shot Learning. Yan Li, Zhen Jia, Junge Zhang, Kaiqi Huang, Tieniu Tan |
| 2018 | Deep Semi-Random Features for Nonlinear Function Approximation. Kenji Kawaguchi, Bo Xie, Le Song |
| 2018 | Deep Stereo Matching With Explicit Cost Aggregation Sub-Architecture. Lidong Yu, Yucheng Wang, Yuwei Wu, Yunde Jia |
| 2018 | Deep Structured Learning for Visual Relationship Detection. Yaohui Zhu, Shuqiang Jiang |
| 2018 | Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces. Garrett Warnell, Nicholas R. Waytowich, Vernon Lawhern, Peter Stone |
| 2018 | Deep-Treat: Learning Optimal Personalized Treatments From Observational Data Using Neural Networks. Onur Atan, James Jordon, Mihaela van der Schaar |
| 2018 | DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction. Brandon Ballinger, Johnson Hsieh, Avesh Singh, Nimit Sohoni, Jack Wang, Geoffrey H. Tison, Gregory M. Marcus, Jose M. Sanchez, Carol Maguire, Jeffrey E. Olgin, Mark J. Pletcher |
| 2018 | DeepHit: A Deep Learning Approach to Survival Analysis With Competing Risks. Changhee Lee, William R. Zame, Jinsung Yoon, Mihaela van der Schaar |
| 2018 | DeepRebirth: Accelerating Deep Neural Network Execution on Mobile Devices. Dawei Li, Xiaolong Wang, Deguang Kong |
| 2018 | DeepType: Multilingual Entity Linking by Neural Type System Evolution. Jonathan Raiman, Olivier Raiman |
| 2018 | DeepUrbanMomentum: An Online Deep-Learning System for Short-Term Urban Mobility Prediction. Renhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Quanjun Chen, Satoshi Miyazawa, Ryosuke Shibasaki |
| 2018 | Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning. Qimai Li, Zhichao Han, Xiao-Ming Wu |
| 2018 | Democratization of Deep Learning Using DARVIZ. Anush Sankaran, Naveen Panwar, Shreya Khare, Senthil Mani, Akshay Sethi, Rahul Aralikatte, Neelamadhav Gantayat |
| 2018 | Dependence Guided Unsupervised Feature Selection. Jun Guo, Wenwu Zhu |
| 2018 | Dependence in Propositional Logic: Formula-Formula Dependence and Formula Forgetting - Application to Belief Update and Conservative Extension. Liangda Fang, Hai Wan, Xianqiao Liu, Biqing Fang, Zhao-Rong Lai |
| 2018 | DepthLGP: Learning Embeddings of Out-of-Sample Nodes in Dynamic Networks. Jianxin Ma, Peng Cui, Wenwu Zhu |
| 2018 | Detecting Adversarial Examples Through Image Transformation. Shixin Tian, Guolei Yang, Ying Cai |
| 2018 | Deterministic Policy Optimization by Combining Pathwise and Score Function Estimators for Discrete Action Spaces. Daniel Levy, Stefano Ermon |
| 2018 | DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding. Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, Chengqi Zhang |
| 2018 | Diagnosing University Student Subject Proficiency and Predicting Degree Completion in Vector Space. Yuetian Luo, Zachary A. Pardos |
| 2018 | Diagnosing and Improving Topic Models by Analyzing Posterior Variability. Linzi Xing, Michael J. Paul |
| 2018 | Dialogue Act Sequence Labeling Using Hierarchical Encoder With CRF. Harshit Kumar, Arvind Agarwal, Riddhiman Dasgupta, Sachindra Joshi |
| 2018 | Dialogue Generation With GAN. Hui Su, Xiaoyu Shen, Pengwei Hu, Wenjie Li, Yun Chen |
| 2018 | Dictionary Learning Inspired Deep Network for Scene Recognition. Yang Liu, Qingchao Chen, Wei Chen, Ian J. Wassell |
| 2018 | Dictionary Learning in Optimal Metric Space. Jiexi Yan, Cheng Deng, Xianglong Liu |
| 2018 | Different Cycle, Different Assignment: Diversity in Assignment Problems With Multiple Cycles. Helge Spieker, Arnaud Gotlieb, Morten Mossige |
| 2018 | Differential Performance Debugging With Discriminant Regression Trees. Saeid Tizpaz-Niari, Pavol Cerný, Bor-Yuh Evan Chang, Ashutosh Trivedi |
| 2018 | Dilated FCN for Multi-Agent 2D/3D Medical Image Registration. Shun Miao, Sebastien Piat, Peter Walter Fischer, Ahmet Tuysuzoglu, Philip Walter Mewes, Tommaso Mansi, Rui Liao |
| 2018 | Direct Hashing Without Pseudo-Labels. Feng Zheng, Heng Huang |
| 2018 | Directional Label Rectification in Adaptive Graph. Xiaoqian Wang, Hao Huang |
| 2018 | Disarmament Games With Resource. Yuan Deng, Vincent Conitzer |
| 2018 | Discovering Program Topoi Through Clustering. Carlo Ieva, Arnaud Gotlieb, Souhila Kaci, Nadjib Lazaar |
| 2018 | Discovering and Distinguishing Multiple Visual Senses for Polysemous Words. Yazhou Yao, Jian Zhang, Fumin Shen, Wankou Yang, Pu Huang, Zhenmin Tang |
| 2018 | Discriminant Projection Representation-Based Classification for Vision Recognition. Qingxiang Feng, Yicong Zhou |
| 2018 | Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification. Kai Li, Zhengming Ding, Sheng Li, Yun Fu |
| 2018 | Discriminative Semi-Supervised Feature Selection via Rescaled Least Squares Regression-Supplement. Guowen Yuan, Xiaojun Chen, Chen Wang, Feiping Nie, Liping Jing |
| 2018 | Disjunctive Program Synthesis: A Robust Approach to Programming by Example. Mohammad Raza, Sumit Gulwani |
| 2018 | Dispatch Guided Allocation Optimization for Effective Emergency Response. Supriyo Ghosh, Pradeep Varakantham |
| 2018 | Distance-Aware DAG Embedding for Proximity Search on Heterogeneous Graphs. Zemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying |
| 2018 | Distant-Supervision of Heterogeneous Multitask Learning for Social Event Forecasting With Multilingual Indicators. Liang Zhao, Junxiang Wang, Xiaojie Guo |
| 2018 | Distributed Composite Quantization. Weixiang Hong, Jingjing Meng, Junsong Yuan |
| 2018 | Distributional Reinforcement Learning With Quantile Regression. Will Dabney, Mark Rowland, Marc G. Bellemare, Rémi Munos |
| 2018 | Diverse Beam Search for Improved Description of Complex Scenes. Ashwin K. Vijayakumar, Michael Cogswell, Ramprasaath R. Selvaraju, Qing Sun, Stefan Lee, David J. Crandall, Dhruv Batra |
| 2018 | Diverse Exploration for Fast and Safe Policy Improvement. Andrew Cohen, Lei Yu, Robert Wright |
| 2018 | Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning With Confidence. Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin |
| 2018 | Doing the Best We Can With What We Have: Multi-Label Balancing With Selective Learning for Attribute Prediction. Emily M. Hand, Carlos Domingo Castillo, Rama Chellappa |
| 2018 | Domain Generalization via Conditional Invariant Representations. Ya Li, Mingming Gong, Xinmei Tian, Tongliang Liu, Dacheng Tao |
| 2018 | Domain-Shared Group-Sparse Dictionary Learning for Unsupervised Domain Adaptation. Baoyao Yang, Andy Jinhua Ma, Pong C. Yuen |
| 2018 | Double Forward Propagation for Memorized Batch Normalization. Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan |
| 2018 | Doubly Approximate Nearest Neighbor Classification. Weiwei Liu, Zhuanghua Liu, Ivor W. Tsang, Wenjie Zhang, Xuemin Lin |
| 2018 | Dress Fashionably: Learn Fashion Collocation With Deep Mixed-Category Metric Learning. Long Chen, Yuhang He |
| 2018 | Dropout Model Evaluation in MOOCs. Josh Gardner, Christopher Brooks |
| 2018 | Dual Attention Network for Product Compatibility and Function Satisfiability Analysis. Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu |
| 2018 | Dual Deep Neural Networks Cross-Modal Hashing. Zhen-Duo Chen, Wan-Jin Yu, Chuan-Xiang Li, Liqiang Nie, Xin-Shun Xu |
| 2018 | Dual Set Multi-Label Learning. Chong Liu, Peng Zhao, Sheng-Jun Huang, Yuan Jiang, Zhi-Hua Zhou |
| 2018 | Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization. Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Guiquan Liu, Tie-Yan Liu |
| 2018 | Dual-Reference Face Retrieval. Bingzhang Hu, Feng Zheng, Ling Shao |
| 2018 | Duplicate Question Identification by Integrating FrameNet With Neural Networks. Xiaodong Zhang, Xu Sun, Houfeng Wang |
| 2018 | DyETC: Dynamic Electronic Toll Collection for Traffic Congestion Alleviation. Haipeng Chen, Bo An, Guni Sharon, Josiah P. Hanna, Peter Stone, Chunyan Miao, Yeng Chai Soh |
| 2018 | Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-Offs by Selective Execution. Lanlan Liu, Jia Deng |
| 2018 | Dynamic Detection of Communities and Their Evolutions in Temporal Social Networks. Yaowei Huang, Jinghuan Shang, Bill Y. Lin, Luoyi Fu, Xinbing Wang |
| 2018 | Dynamic Determinantal Point Processes. Takayuki Osogami, Rudy Raymond, Akshay Goel, Tomoyuki Shirai, Takanori Maehara |
| 2018 | Dynamic Network Embedding by Modeling Triadic Closure Process. Le-kui Zhou, Yang Yang, Xiang Ren, Fei Wu, Yueting Zhuang |
| 2018 | Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling. Shinichi Shirakawa, Yasushi Iwata, Youhei Akimoto |
| 2018 | Dynamic Pricing for Reusable Resources in Competitive Market With Stochastic Demand. Jiang Rong, Tao Qin, Bo An |
| 2018 | Dynamic User Profiling for Streams of Short Texts. Shangsong Liang |
| 2018 | EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples. Pin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh |
| 2018 | EMD Metric Learning. Zizhao Zhang, Yubo Zhang, Xibin Zhao, Yue Gao |
| 2018 | Early Detection of Fake News on Social Media Through Propagation Path Classification with Recurrent and Convolutional Networks. Yang Liu, Yi-fang Brook Wu |
| 2018 | Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis Approach. Bin Liu, Ying Li, Zhaonan Sun, Soumya Ghosh, Kenney Ng |
| 2018 | Early Syntactic Bootstrapping in an Incremental Memory-Limited Word Learner. Sepideh Sadeghi, Matthias Scheutz |
| 2018 | Effective Broad-Coverage Deep Parsing. James F. Allen, Omid Bahkshandeh, William de Beaumont, Lucian Galescu, Choh Man Teng |
| 2018 | Effective Heuristics for Committee Scoring Rules. Piotr Faliszewski, Martin Lackner, Dominik Peters, Nimrod Talmon |
| 2018 | Efficiency and Safety in Autonomous Vehicles Through Planning With Uncertainty. Zachary N. Sunberg |
| 2018 | Efficient Architecture Search by Network Transformation. Han Cai, Tianyao Chen, Weinan Zhang, Yong Yu, Jun Wang |
| 2018 | Efficient K-Shot Learning With Regularized Deep Networks. Donghyun Yoo, Haoqi Fan, Vishnu Naresh Boddeti, Kris M. Kitani |
| 2018 | Efficient Large-Scale Multi-Modal Classification. Douwe Kiela, Edouard Grave, Armand Joulin, Tomás Mikolov |
| 2018 | Efficient Multi-Dimensional Tensor Sparse Coding Using t-Linear Combination. Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen |
| 2018 | Efficient Probabilistic Performance Bounds for Inverse Reinforcement Learning. Daniel S. Brown, Scott Niekum |
| 2018 | Efficient Support Vector Machine Training Algorithm on GPUs. Jiashuai Shi, Zeyi Wen, Bingsheng He, Jian Chen |
| 2018 | Efficient Test-Time Predictor Learning With Group-Based Budget. Li Wang, Dajiang Zhu, Yujie Chi |
| 2018 | Efficient-UCBV: An Almost Optimal Algorithm Using Variance Estimates. Subhojyoti Mukherjee, K. P. Naveen, Nandan Sudarsanam, Balaraman Ravindran |
| 2018 | Efficiently Approximating the Pareto Frontier: Hydropower Dam Placement in the Amazon Basin. Xiaojian Wu, Jonathan Gomes-Selman, Qinru Shi, Yexiang Xue, Roosevelt García-Villacorta, Elizabeth Anderson, Suresh Sethi, Scott Steinschneider, Alexander Flecker, Carla P. Gomes |
| 2018 | Efficiently Monitoring Small Data Modification Effect for Large-Scale Learning in Changing Environment. Hiroyuki Hanada, Atsushi Shibagaki, Jun Sakuma, Ichiro Takeuchi |
| 2018 | Elastic Responding Machine for Dialog Generation with Dynamically Mechanism Selecting. Ganbin Zhou, Ping Luo, Yijun Xiao, Fen Lin, Bo Chen, Qing He |
| 2018 | Eliciting Positive Emotion through Affect-Sensitive Dialogue Response Generation: A Neural Network Approach. Nurul Lubis, Sakriani Sakti, Koichiro Yoshino, Satoshi Nakamura |
| 2018 | Embedding of Hierarchically Typed Knowledge Bases. Richong Zhang, Fanshuang Kong, Chenyue Wang, Yongyi Mao |
| 2018 | Emergence of Grounded Compositional Language in Multi-Agent Populations. Igor Mordatch, Pieter Abbeel |
| 2018 | Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory. Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu |
| 2018 | Emphasizing 3D Properties in Recurrent Multi-View Aggregation for 3D Shape Retrieval. Cheng Xu, Biao Leng, Cheng Zhang, Xiaochen Zhou |
| 2018 | Empower Sequence Labeling with Task-Aware Neural Language Model. Liyuan Liu, Jingbo Shang, Xiang Ren, Frank Fangzheng Xu, Huan Gui, Jian Peng, Jiawei Han |
| 2018 | End-to-End Quantum-like Language Models with Application to Question Answering. Peng Zhang, Jiabin Niu, Zhan Su, Benyou Wang, Liqun Ma, Dawei Song |
| 2018 | End-to-End United Video Dehazing and Detection. Boyi Li, Xiulian Peng, Zhangyang Wang, Jizheng Xu, Dan Feng |
| 2018 | Energy-Efficient Automatic Train Driving by Learning Driving Patterns. Jin Huang, Yue Gao, Sha Lu, Xibin Zhao, Yangdong Deng, Ming Gu |
| 2018 | Engineering Pro-Sociality With Autonomous Agents. Ana Paiva, Fernando P. Santos, Francisco C. Santos |
| 2018 | Enhancing Constraint-Based Multi-Objective Combinatorial Optimization. Miguel Terra-Neves, Inês Lynce, Vasco Manquinho |
| 2018 | Enhancing Machine Learning Classification for Electrical Time Series Applications. Mark Valovage |
| 2018 | Enhancing RNN Based OCR by Transductive Transfer Learning From Text to Images. Yang He, Jingling Yuan, Lin Li |
| 2018 | Equilibrium Computation and Robust Optimization in Zero Sum Games With Submodular Structure. Bryan Wilder |
| 2018 | Estimating the Class Prior in Positive and Unlabeled Data Through Decision Tree Induction. Jessa Bekker, Jesse Davis |
| 2018 | Euler Sparse Representation for Image Classification. Yang Liu, Quanxue Gao, Jungong Han, Shujian Wang |
| 2018 | Event Detection via Gated Multilingual Attention Mechanism. Jian Liu, Yubo Chen, Kang Liu, Jun Zhao |
| 2018 | Event Representations With Tensor-Based Compositions. Noah Weber, Niranjan Balasubramanian, Nathanael Chambers |
| 2018 | Event Representations for Automated Story Generation with Deep Neural Nets. Lara J. Martin, Prithviraj Ammanabrolu, Xinyu Wang, William Hancock, Shruti Singh, Brent Harrison, Mark O. Riedl |
| 2018 | Exact Clustering via Integer Programming and Maximum Satisfiability. Atsushi Miyauchi, Tomohiro Sonobe, Noriyoshi Sukegawa |
| 2018 | Exact MAP-Inference by Confining Combinatorial Search With LP Relaxation. Stefan Haller, Paul Swoboda, Bogdan Savchynskyy |
| 2018 | Examining CNN Representations With Respect to Dataset Bias. Quanshi Zhang, Wenguan Wang, Song-Chun Zhu |
| 2018 | Exercise-Enhanced Sequential Modeling for Student Performance Prediction. Yu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris H. Q. Ding, Si Wei, Guoping Hu |
| 2018 | Expected Policy Gradients. Kamil Ciosek, Shimon Whiteson |
| 2018 | Expected Utility with Relative Loss Reduction: A Unifying Decision Model for Resolving Four Well-Known Paradoxes. Wenjun Ma, Yuncheng Jiang, Weiru Liu, Xudong Luo, Kevin McAreavey |
| 2018 | Explainable Cross-Domain Recommendations Through Relational Learning. Sirawit Sopchoke, Ken-ichi Fukui, Masayuki Numao |
| 2018 | Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering. Somak Aditya, Yezhou Yang, Chitta Baral |
| 2018 | Exploiting Emotion on Reviews for Recommender Systems. Xuying Meng, Suhang Wang, Huan Liu, Yujun Zhang |
| 2018 | Exploring Human-Like Attention Supervision in Visual Question Answering. Tingting Qiao, Jianfeng Dong, Duanqing Xu |
| 2018 | Exploring Implicit Feedback for Open Domain Conversation Generation. Weinan Zhang, Lingzhi Li, Dongyan Cao, Ting Liu |
| 2018 | Exploring Relevance Judgement Inspired by Quantum Weak Measurement. Tianshu Wang, Yuexian Hou, Panpan Wang, Xiaolei Niu |
| 2018 | Exploring Temporal Preservation Networks for Precise Temporal Action Localization. Ke Yang, Peng Qiao, Dongsheng Li, Shaohe Lv, Yong Dou |
| 2018 | Exploring the Terrain of Metaphor Novelty: A Regression-Based Approach for Automatically Scoring Metaphors. Natalie Parde, Rodney D. Nielsen |
| 2018 | Exploring the Use of Shatter for AllSAT Through Ramsey-Type Problems. David E. Narváez |
| 2018 | ExprGAN: Facial Expression Editing With Controllable Expression Intensity. Hui Ding, Kumar Sricharan, Rama Chellappa |
| 2018 | Expressive Real-Time Intersection Scheduling. Rick Goldstein, Stephen F. Smith |
| 2018 | Externally Supported Models for Efficient Computation of Paracoherent Answer Sets. Giovanni Amendola, Carmine Dodaro, Wolfgang Faber, Francesco Ricca |
| 2018 | Extreme Low Resolution Activity Recognition With Multi-Siamese Embedding Learning. Michael S. Ryoo, Kiyoon Kim, Hyun Jong Yang |
| 2018 | Extremely Low Bit Neural Network: Squeeze the Last Bit Out With ADMM. Cong Leng, Zesheng Dou, Hao Li, Shenghuo Zhu, Rong Jin |
| 2018 | FEEL: Featured Event Embedding Learning. I-Ta Lee, Dan Goldwasser |
| 2018 | FILE: A Novel Framework for Predicting Social Status in Signed Networks. Xiaoming Li, Hui Fang, Jie Zhang |
| 2018 | FLIC: Fast Linear Iterative Clustering With Active Search. Jiaxing Zhao, Bo Ren, Qibin Hou, Ming-Ming Cheng, Paul L. Rosin |
| 2018 | FR-ANet: A Face Recognition Guided Facial Attribute Classification Network. Jiajiong Cao, Yingming Li, Xi Li, Zhongfei Zhang |
| 2018 | Face Sketch Synthesis From Coarse to Fine. Mingjin Zhang, Nannan Wang, Yunsong Li, Ruxin Wang, Xinbo Gao |
| 2018 | Facial Landmarks Detection by Self-Iterative Regression Based Landmarks-Attention Network. Tao Hu, Honggang Qi, Jizheng Xu, Qingming Huang |
| 2018 | Facility Location Games With Fractional Preferences. Chi Kit Ken Fong, Minming Li, Pinyan Lu, Taiki Todo, Makoto Yokoo |
| 2018 | Fact Checking in Community Forums. Tsvetomila Mihaylova, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, Mitra Mohtarami, Georgi Karadzhov, James R. Glass |
| 2018 | Fair Inference on Outcomes. Razieh Nabi, Ilya Shpitser |
| 2018 | Fair Rent Division on a Budget. Ariel D. Procaccia, Rodrigo A. Velez, Dingli Yu |
| 2018 | Fairness in Decision-Making - The Causal Explanation Formula. Junzhe Zhang, Elias Bareinboim |
| 2018 | Faithful to the Original: Fact Aware Neural Abstractive Summarization. Ziqiang Cao, Furu Wei, Wenjie Li, Sujian Li |
| 2018 | Fast Approximate Nearest Neighbor Search via k-Diverse Nearest Neighbor Graph. Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2018 | Fat- and Heavy-Tailed Behavior in Satisficing Planning. Eldan Cohen, J. Christopher Beck |
| 2018 | Feature Engineering for Predictive Modeling Using Reinforcement Learning. Udayan Khurana, Horst Samulowitz, Deepak S. Turaga |
| 2018 | Feature Enhancement Network: A Refined Scene Text Detector. Sheng Zhang, Yuliang Liu, Lianwen Jin, Canjie Luo |
| 2018 | Feature-Induced Labeling Information Enrichment for Multi-Label Learning. Qian-Wen Zhang, Yun Zhong, Min-Ling Zhang |
| 2018 | Few Shot Transfer Learning BetweenWord Relatedness and Similarity Tasks Using A Gated Recurrent Siamese Network. James O'Neill, Paul Buitelaar |
| 2018 | FgER: Fine-Grained Entity Recognition. Abhishek Abhishek |
| 2018 | FiLM: Visual Reasoning with a General Conditioning Layer. Ethan Perez, Florian Strub, Harm de Vries, Vincent Dumoulin, Aaron C. Courville |
| 2018 | Finite Sample Analyses for TD(0) With Function Approximation. Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor |
| 2018 | Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models. Aditya Grover, Manik Dhar, Stefano Ermon |
| 2018 | Forgetting and Unfolding for Existential Rules. Zhe Wang, Kewen Wang, Xiaowang Zhang |
| 2018 | Fourier Feature Approximations for Periodic Kernels in Time-Series Modelling. Anthony Tompkins, Fabio Ramos |
| 2018 | From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions. Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang |
| 2018 | From Hashing to CNNs: Training Binary Weight Networks via Hashing. Qinghao Hu, Peisong Wang, Jian Cheng |
| 2018 | From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping Sets. Pedro H. P. Savarese, Mayank Kakodkar, Bruno Ribeiro |
| 2018 | From Virtual Demonstration to Real-World Manipulation Using LSTM and MDN. Rouhollah Rahmatizadeh, Pooya Abolghasemi, Aman Behal, Ladislau Bölöni |
| 2018 | Fully Convolutional Network Based Skeletonization for Handwritten Chinese Characters. Tie-Qiang Wang, Cheng-Lin Liu |
| 2018 | Game of Sketches: Deep Recurrent Models of Pictionary-Style Word Guessing. Ravi Kiran Sarvadevabhatla, Shiv Surya, Trisha Mittal, R. Venkatesh Babu |
| 2018 | Game-Theoretic Threat Screening and Deceptive Techniques for Cyber Defense. Aaron Schlenker |
| 2018 | Gated-Attention Architectures for Task-Oriented Language Grounding. Devendra Singh Chaplot, Kanthashree Mysore Sathyendra, Rama Kumar Pasumarthi, Dheeraj Rajagopal, Ruslan Salakhutdinov |
| 2018 | Gaussian Process Decentralized Data Fusion Meets Transfer Learning in Large-Scale Distributed Cooperative Perception. Ruofei Ouyang, Kian Hsiang Low |
| 2018 | Generalized Adjustment Under Confounding and Selection Biases. Juan D. Correa, Jin Tian, Elias Bareinboim |
| 2018 | Generalized Value Iteration Networks: Life Beyond Lattices. Sufeng Niu, Siheng Chen, Hanyu Guo, Colin Targonski, Melissa C. Smith, Jelena Kovacevic |
| 2018 | Generalizing and Improving Bilingual Word Embedding Mappings with a Multi-Step Framework of Linear Transformations. Mikel Artetxe, Gorka Labaka, Eneko Agirre |
| 2018 | Generating Image Captions in Arabic Using Root-Word Based Recurrent Neural Networks and Deep Neural Networks. Vasu Jindal |
| 2018 | Generating Music Medleys via Playing Music Puzzle Games. Yu-Siang Huang, Szu-Yu Chou, Yi-Hsuan Yang |
| 2018 | Generating Sentences Using a Dynamic Canvas. Harshil Shah, Bowen Zheng, David Barber |
| 2018 | Generating Triples With Adversarial Networks for Scene Graph Construction. Matthew Klawonn, Eric Heim |
| 2018 | Generating an Event Timeline About Daily Activities From a Semantic Concept Stream. Taiki Miyanishi, Junichiro Hirayama, Takuya Maekawa, Motoaki Kawanabe |
| 2018 | Generative Adversarial Network Based Heterogeneous Bibliographic Network Representation for Personalized Citation Recommendation. Xiaoyan Cai, Junwei Han, Libin Yang |
| 2018 | Generative Adversarial Network for Abstractive Text Summarization. Linqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, Hongyan Li |
| 2018 | Generative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image Classification. Zilong Zhong, Jonathan Li |
| 2018 | Geographic Differential Privacy for Mobile Crowd Coverage Maximization. Leye Wang, Gehua Qin, Dingqi Yang, Xiao Han, Xiaojuan Ma |
| 2018 | Geometric Relationship between Word and Context Representations. Jiangtao Feng, Xiaoqing Zheng |
| 2018 | Gesture Annotation With a Visual Search Engine for Multimodal Communication Research. Sergiy Turchyn, Inés Olza Moreno, Cristóbal Pagán Cánovas, Francis F. Steen, Mark Turner, Javier Valenzuela, Soumya Ray |
| 2018 | Gesturing and Embodiment in Teaching: Investigating the Nonverbal Behavior of Teachers in a Virtual Rehearsal Environment . Roghayeh Barmaki, Charles E. Hughes |
| 2018 | Glass-Box Program Synthesis: A Machine Learning Approach. Konstantina Christakopoulou, Adam Tauman Kalai |
| 2018 | Goal Recognition in Incomplete Domain Models. Ramon Fraga Pereira, Felipe Meneguzzi |
| 2018 | Goal-Driven Query Answering for Existential Rules With Equality. Michael Benedikt, Boris Motik, Efthymia Tsamoura |
| 2018 | Graph Convolutional Networks With Argument-Aware Pooling for Event Detection. Thien Huu Nguyen, Ralph Grishman |
| 2018 | Graph Correspondence Transfer for Person Re-Identification. Qin Zhou, Heng Fan, Shibao Zheng, Hang Su, Xinzhe Li, Shuang Wu, Haibin Ling |
| 2018 | Graph Scan Statistics With Uncertainty. Jose Cadena, Arinjoy Basak, Anil Vullikanti, Xinwei Deng |
| 2018 | GraphGAN: Graph Representation Learning With Generative Adversarial Nets. Hongwei Wang, Jia Wang, Jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xing Xie, Minyi Guo |
| 2018 | Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics. Hongbin Pei, Bo Yang, Jiming Liu, Lei Dong |
| 2018 | Group-Pair Convolutional Neural Networks for Multi-View Based 3D Object Retrieval. Zan Gao, Deyu Wang, Xiangnan He, Hua Zhang |
| 2018 | Groupwise Maximin Fair Allocation of Indivisible Goods. Siddharth Barman, Arpita Biswas, Sanath Kumar Krishna Murthy, Yadati Narahari |
| 2018 | Guaranteed Plans for Multi-Robot Systems via Optimization Modulo Theories. Francesco Leofante |
| 2018 | Guiding Exploratory Behaviors for Multi-Modal Grounding of Linguistic Descriptions. Jesse Thomason, Jivko Sinapov, Raymond J. Mooney, Peter Stone |
| 2018 | Guiding Search in Continuous State-Action Spaces by Learning an Action Sampler From Off-Target Search Experience. Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez |
| 2018 | HAN: Hierarchical Association Network for Computing Semantic Relatedness. Xiaolong Gong, Hao Xu, Linpeng Huang |
| 2018 | HARP: Hierarchical Representation Learning for Networks. Haochen Chen, Bryan Perozzi, Yifan Hu, Steven Skiena |
| 2018 | HCVRD: A Benchmark for Large-Scale Human-Centered Visual Relationship Detection. Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel |
| 2018 | Hawkes Process Inference With Missing Data. Christian R. Shelton, Zhen Qin, Chandini Shetty |
| 2018 | Hi, How Can I Help You?: Automating Enterprise IT Support Help Desks. Senthil Mani, Neelamadhav Gantayat, Rahul Aralikatte, Monika Gupta, Sampath Dechu, Anush Sankaran, Shreya Khare, Barry Mitchell, Hemamalini Subramanian, Hema Venkatarangan |
| 2018 | Hierarchical Attention Flow for Multiple-Choice Reading Comprehension. Haichao Zhu, Furu Wei, Bing Qin, Ting Liu |
| 2018 | Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification. Zheng Li, Ying Wei, Yu Zhang, Qiang Yang |
| 2018 | Hierarchical Discriminative Learning for Visible Thermal Person Re-Identification. Mang Ye, Xiangyuan Lan, Jiawei Li, Pong C. Yuen |
| 2018 | Hierarchical LSTM for Sign Language Translation. Dan Guo, Wengang Zhou, Houqiang Li, Meng Wang |
| 2018 | Hierarchical Methods for a Unified Approach to Discourse, Domain, and Style in Neural Conversational Models. João Sedoc |
| 2018 | Hierarchical Nonlinear Orthogonal Adaptive-Subspace Self-Organizing Map Based Feature Extraction for Human Action Recognition. Yang Du, Chunfeng Yuan, Bing Li, Weiming Hu, Hao Yang, Zhikang Fu, Lili Zhao |
| 2018 | Hierarchical Policy Search via Return-Weighted Density Estimation. Takayuki Osa, Masashi Sugiyama |
| 2018 | Hierarchical Recurrent Attention Network for Response Generation. Chen Xing, Yu Wu, Wei Wu, Yalou Huang, Ming Zhou |
| 2018 | Hierarchical Video Generation From Orthogonal Information: Optical Flow and Texture. Katsunori Ohnishi, Shohei Yamamoto, Yoshitaka Ushiku, Tatsuya Harada |
| 2018 | High Rank Matrix Completion With Side Information. Yugang Wang, Ehsan Elhamifar |
| 2018 | HodgeRank With Information Maximization for Crowdsourced Pairwise Ranking Aggregation. Qianqian Xu, Jiechao Xiong, Xi Chen, Qingming Huang, Yuan Yao |
| 2018 | HogRider: Champion Agent of Microsoft Malmo Collaborative AI Challenge. Yanhai Xiong, Haipeng Chen, Mengchen Zhao, Bo An |
| 2018 | Horizontal Scaling With a Framework for Providing AI Solutions Within a Game Company. John F. Kolen, Mohsen Sardari, Marwan Mattar, Nick Peterson, Meng Wu |
| 2018 | How AI Wins Friends and Influences People in Repeated Games With Cheap Talk. Mayada Oudah, Talal Rahwan, Tawna Crandall, Jacob W. Crandall |
| 2018 | How Images Inspire Poems: Generating Classical Chinese Poetry from Images with Memory Networks. Linli Xu, Liang Jiang, Chuan Qin, Zhe Wang, Dongfang Du |
| 2018 | How Many Properties Do We Need for Gradual Argumentation? Pietro Baroni, Antonio Rago, Francesca Toni |
| 2018 | Human Guided Linear Regression With Feature-Level Constraints. Aubrey Gress, Ian Davidson |
| 2018 | Human-in-the-Loop SLAM. Samer B. Nashed, Joydeep Biswas |
| 2018 | Hybrid Attentive Answer Selection in CQA With Deep Users Modelling. Jiahui Wen, Jingwei Ma, Yiliu Feng, Mingyang Zhong |
| 2018 | Hypergraph Learning With Cost Interval Optimization. Xibin Zhao, Nan Wang, Heyuan Shi, Hai Wan, Jin Huang, Yue Gao |
| 2018 | Hypergraph p-Laplacian: A Differential Geometry View. Shota Saito, Danilo P. Mandic, Hideyuki Suzuki |
| 2018 | IMS-DTM: Incremental Multi-Scale Dynamic Topic Models. Xilun Chen, K. Selçuk Candan, Maria Luisa Sapino |
| 2018 | IONet: Learning to Cure the Curse of Drift in Inertial Odometry. Changhao Chen, Xiaoxuan Lu, Andrew Markham, Niki Trigoni |
| 2018 | Identifying Emotional Support in Online Health Communities. Hamed Khanpour, Cornelia Caragea, Prakhar Biyani |
| 2018 | Identifying Private Content for Online Image Sharing. Ashwini Tonge |
| 2018 | Imagination Machines: A New Challenge for Artificial Intelligence. Sridhar Mahadevan |
| 2018 | Imitation Learning via Kernel Mean Embedding. Kee-Eung Kim, Hyun Soo Park |
| 2018 | Imitation Upper Confidence Bound for Bandits on a Graph. Andrei Lupu, Doina Precup |
| 2018 | Improved English to Russian Translation by Neural Suffix Prediction. Kai Song, Yue Zhang, Min Zhang, Weihua Luo |
| 2018 | Improved Results for Minimum Constraint Removal. Eduard Eiben, Jonathan Gemmell, Iyad A. Kanj, Andrew Youngdahl |
| 2018 | Improved Text Matching by Enhancing Mutual Information. Yang Liu, Wenge Rong, Zhang Xiong |
| 2018 | Improving Language Modelling with Noise Contrastive Estimation. Farhana Ferdousi Liza, Marek Grzes |
| 2018 | Improving Neural Fine-Grained Entity Typing With Knowledge Attention. Ji Xin, Yankai Lin, Zhiyuan Liu, Maosong Sun |
| 2018 | Improving Review Representations With User Attention and Product Attention for Sentiment Classification. Zhen Wu, Xin-Yu Dai, Cunyan Yin, Shujian Huang, Jiajun Chen |
| 2018 | Improving Sequence-to-Sequence Constituency Parsing. Lemao Liu, Muhua Zhu, Shuming Shi |
| 2018 | Improving Variational Encoder-Decoders in Dialogue Generation. Xiaoyu Shen, Hui Su, Shuzi Niu, Vera Demberg |
| 2018 | Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing Their Input Gradients. Andrew Slavin Ross, Finale Doshi-Velez |
| 2018 | In Praise of Belief Bases: Doing Epistemic Logic Without Possible Worlds. Emiliano Lorini |
| 2018 | Incentive-Compatible Forecasting Competitions. Jens Witkowski, Rupert Freeman, Jennifer Wortman Vaughan, David M. Pennock, Andreas Krause |
| 2018 | Incentivizing High Quality User Contributions: New Arm Generation in Bandit Learning. Yang Liu, Chien-Ju Ho |
| 2018 | Incomplete Label Multi-Task Ordinal Regression for Spatial Event Scale Forecasting. Yuyang Gao, Liang Zhao |
| 2018 | Incorporating Discriminator in Sentence Generation: a Gibbs Sampling Method. Jinyue Su, Jiacheng Xu, Xipeng Qiu, Xuanjing Huang |
| 2018 | Incorporating GAN for Negative Sampling in Knowledge Representation Learning. Peifeng Wang, Shuangyin Li, Rong Pan |
| 2018 | Indirect Reciprocity and Costly Assessment in Multiagent Systems. Fernando P. Santos, Jorge M. Pacheco, Francisco C. Santos |
| 2018 | Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization. Bin Gu, De Wang, Zhouyuan Huo, Heng Huang |
| 2018 | Inference on Syntactic and Semantic Structures for Machine Comprehension. Chenrui Li, Yuanbin Wu, Man Lan |
| 2018 | Inferring Emotion from Conversational Voice Data: A Semi-Supervised Multi-Path Generative Neural Network Approach. Suping Zhou, Jia Jia, Qi Wang, Yufei Dong, Yufeng Yin, Kehua Lei |
| 2018 | Influence Maximization for Social Network Based Substance Abuse Prevention. Aida Rahmattalabi, Anamika Barman-Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker |
| 2018 | Information Acquisition Under Resource Limitations in a Noisy Environment. Matvey Soloviev, Joseph Y. Halpern |
| 2018 | Information Directed Sampling for Stochastic Bandits With Graph Feedback. Fang Liu, Swapna Buccapatnam, Ness B. Shroff |
| 2018 | Information Gathering With Peers: Submodular Optimization With Peer-Prediction Constraints. Goran Radanovic, Adish Singla, Andreas Krause, Boi Faltings |
| 2018 | Information-Theoretic Domain Adaptation Under Severe Noise Conditions. Wei Wang, Hao Wang, Zhi-Yong Ran, Ran He |
| 2018 | Informed Non-Convex Robust Principal Component Analysis With Features. Niannan Xue, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou |
| 2018 | InspireMe: Learning Sequence Models for Stories. Vincent Fortuin, Romann M. Weber, Sasha Schriber, Diana Wotruba, Markus H. Gross |
| 2018 | Integrated Cooperation and Competition in Multi-Agent Decision-Making. Kyle Hollins Wray, Akshat Kumar, Shlomo Zilberstein |
| 2018 | Integrating Both Visual and Audio Cues for Enhanced Video Caption. Wang-Li Hao, Zhaoxiang Zhang, He Guan |
| 2018 | Interactive Machine Learning at Scale With CHISSL. Dustin Arendt, Emily Grace, Svitlana Volkova |
| 2018 | Interactively Learning a Blend of Goal-Based and Procedural Tasks. Aaron Mininger, John E. Laird |
| 2018 | Interpretable Graph-Based Semi-Supervised Learning via Flows. Raif M. Rustamov, James T. Klosowski |
| 2018 | Interpreting CNN Knowledge via an Explanatory Graph. Quanshi Zhang, Ruiming Cao, Feng Shi, Ying Nian Wu, Song-Chun Zhu |
| 2018 | Introducing AI to Undergraduate Students via Computer Vision Projects. Kaiman Zeng, Yancheng Li, Yida Xu, Di Wu, Nansong Wu |
| 2018 | Introducing Ethical Thinking About Autonomous Vehicles Into an AI Course. Heidi Furey, Fred Martin |
| 2018 | Introducing Machine Learning Concepts by Training a Neural Network to Recognize Hand Gestures. Alessandro Giusti, David Huber, Luca Maria Gambardella |
| 2018 | Investigating Active Learning for Concept Prerequisite Learning. Chen Liang, Jianbo Ye, Shuting Wang, Bart Pursel, C. Lee Giles |
| 2018 | Investigating Inner Properties of Multimodal Representation and Semantic Compositionality With Brain-Based Componential Semantics. Shaonan Wang, Jiajun Zhang, Nan Lin, Chengqing Zong |
| 2018 | Investigating the Role of Ensemble Learning in High-Value Wine Identification. Luigi Portinale, Monica Locatelli |
| 2018 | Is a Picture Worth a Thousand Words? A Deep Multi-Modal Architecture for Product Classification in E-Commerce. Tom Zahavy, Abhinandan Krishnan, Alessandro Magnani, Shie Mannor |
| 2018 | It Takes (Only) Two: Adversarial Generator-Encoder Networks. Dmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky |
| 2018 | Iterative Continuous Convolution for 3D Template Matching and Global Localization. Vitor Guizilini, Fabio Ramos |
| 2018 | Joint Dictionaries for Zero-Shot Learning. Soheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim |
| 2018 | Joint Learning of Evolving Links for Dynamic Network Embedding. Aakas Zhiyuli, Xun Liang, Yanfang Chen, Peng Shu, Xiaoping Zhou |
| 2018 | Joint Learning of Set Cardinality and State Distribution. Seyed Hamid Rezatofighi, Anton Milan, Qinfeng Shi, Anthony R. Dick, Ian D. Reid |
| 2018 | Joint Training for Neural Machine Translation Models with Monolingual Data. Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou, Enhong Chen |
| 2018 | Jointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Interaction. Lei Sha, Feng Qian, Baobao Chang, Zhifang Sui |
| 2018 | Jointly Parse and Fragment Ungrammatical Sentences. Homa B. Hashemi, Rebecca Hwa |
| 2018 | Kernel Cross-Correlator. Chen Wang, Le Zhang, Lihua Xie, Junsong Yuan |
| 2018 | Kill Two Birds With One Stone: Weakly-Supervised Neural Network for Image Annotation and Tag Refinement. Junjie Zhang, Qi Wu, Jian Zhang, Chunhua Shen, Jianfeng Lu |
| 2018 | Knowledge Enhanced Hybrid Neural Network for Text Matching. Yu Wu, Wei Wu, Can Xu, Zhoujun Li |
| 2018 | Knowledge Graph Embedding With Iterative Guidance From Soft Rules. Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo |
| 2018 | Knowledge, Fairness, and Social Constraints. Haris Aziz, Sylvain Bouveret, Ioannis Caragiannis, Ira Giagkousi, Jérôme Lang |
| 2018 | Knowledge-Based Policies for Qualitative Decentralized POMDPs. Abdallah Saffidine, François Schwarzentruber, Bruno Zanuttini |
| 2018 | Knowledge-based Word Sense Disambiguation using Topic Models. Devendra Singh Chaplot, Ruslan Salakhutdinov |
| 2018 | LSTD: A Low-Shot Transfer Detector for Object Detection. Hao Chen, Yali Wang, Guoyou Wang, Yu Qiao |
| 2018 | LTLf/LDLf Non-Markovian Rewards. Ronen I. Brafman, Giuseppe De Giacomo, Fabio Patrizi |
| 2018 | Label Distribution Learning by Exploiting Label Correlations. Xiuyi Jia, Weiwei Li, Junyu Liu, Yu Zhang |
| 2018 | Label Distribution Learning by Exploiting Sample Correlations Locally. Xiang Zheng, Xiuyi Jia, Weiwei Li |
| 2018 | Label Distribution Learning by Optimal Transport. Peng Zhao, Zhi-Hua Zhou |
| 2018 | Label Space Driven Heterogeneous Transfer Learning With Web Induced Alignment. Sanatan Sukhija |
| 2018 | Labeled Memory Networks for Online Model Adaptation. Shiv Shankar, Sunita Sarawagi |
| 2018 | Lagrangian Constrained Community Detection. Mohadeseh Ganji, James Bailey, Peter J. Stuckey |
| 2018 | Large Scale Constrained Linear Regression Revisited: Faster Algorithms via Preconditioning. Di Wang, Jinhui Xu |
| 2018 | Large Scaled Relation Extraction With Reinforcement Learning. Xiangrong Zeng, Shizhu He, Kang Liu, Jun Zhao |
| 2018 | Latent Discriminant Subspace Representations for Multi-View Outlier Detection. Kai Li, Sheng Li, Zhengming Ding, Weidong Zhang, Yun Fu |
| 2018 | Latent Semantic Aware Multi-View Multi-Label Classification. Changqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xinwang Liu, Xiaobo Wang |
| 2018 | Latent Sparse Modeling of Longitudinal Multi-Dimensional Data. Ko-Shin Chen, Tingyang Xu, Jinbo Bi |
| 2018 | Lateral Inhibition-Inspired Convolutional Neural Network for Visual Attention and Saliency Detection. Chunshui Cao, Yongzhen Huang, Zilei Wang, Liang Wang, Ninglong Xu, Tieniu Tan |
| 2018 | Lattice Recurrent Unit: Improving Convergence and Statistical Efficiency for Sequence Modeling. Chaitanya Ahuja, Louis-Philippe Morency |
| 2018 | Leaf-Smoothed Hierarchical Softmax for Ordinal Prediction. Wesley Tansey, Karl Pichotta, James G. Scott |
| 2018 | Learning Abduction Under Partial Observability. Brendan Juba, Zongyi Li, Evan Miller |
| 2018 | Learning Abduction Using Partial Observability. Brendan Juba, Zongyi Li, Evan Miller |
| 2018 | Learning Across Scales - Multiscale Methods for Convolution Neural Networks. Eldad Haber, Lars Ruthotto, Elliot Holtham, Seong-Hwan Jun |
| 2018 | Learning Adaptive Hidden Layers for Mobile Gesture Recognition. Ting-Kuei Hu, Yen-Yu Lin, Pi-Cheng Hsiu |
| 2018 | Learning Adversarial 3D Model Generation With 2D Image Enhancer. Jing Zhu, Jin Xie, Yi Fang |
| 2018 | Learning Attention Model From Human for Visuomotor Tasks. Luxin Zhang, Ruohan Zhang, Zhuode Liu, Mary M. Hayhoe, Dana H. Ballard |
| 2018 | Learning Better Name Translation for Cross-Lingual Wikification. Chen-Tse Tsai, Dan Roth |
| 2018 | Learning Binary Residual Representations for Domain-Specific Video Streaming. Yi-Hsuan Tsai, Ming-Yu Liu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz |
| 2018 | Learning Coarse-to-Fine Structured Feature Embedding for Vehicle Re-Identification. Haiyun Guo, Chaoyang Zhao, Zhiwei Liu, Jinqiao Wang, Hanqing Lu |
| 2018 | Learning Combinatory Categorial Grammars for Plan Recognition. Christopher W. Geib, Pavan Kantharaju |
| 2018 | Learning Conditional Generative Models for Temporal Point Processes. Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha |
| 2018 | Learning Constraints From Examples. Luc De Raedt, Andrea Passerini, Stefano Teso |
| 2018 | Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition. Weihao Cheng, Sarah M. Erfani, Rui Zhang, Ramamohanarao Kotagiri |
| 2018 | Learning Differences Between Visual Scanning Patterns Can Disambiguate Bipolar and Unipolar Patients. Jonathan Chung, Moshe Eizenman, Uros Rakita, Roger S. McIntyre, Peter Giacobbe |
| 2018 | Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction. Chen-Hsuan Lin, Chen Kong, Simon Lucey |
| 2018 | Learning Fast and Slow: Levels of Learning in General Autonomous Intelligent Agents. John E. Laird, Shiwali Mohan |
| 2018 | Learning Feature Representations for Keyphrase Extraction. Corina Florescu, Wei Jin |
| 2018 | Learning From Semi-Supervised Weak-Label Data. Hao-Chen Dong, Yufeng Li, Zhi-Hua Zhou |
| 2018 | Learning From Unannotated QA Pairs to Analogically Disambiguate and Answer Questions. Maxwell Crouse, Clifton James McFate, Kenneth D. Forbus |
| 2018 | Learning Generative Neural Networks for 3D Colorization. Zhenpei Yang, Lihang Liu, Qixing Huang |
| 2018 | Learning Graph-Structured Sum-Product Networks for Probabilistic Semantic Maps. Kaiyu Zheng, Andrzej Pronobis, Rajesh P. N. Rao |
| 2018 | Learning Integrated Holism-Landmark Representations for Long-Term Loop Closure Detection. Fei Han, Hua Wang, Hao Zhang |
| 2018 | Learning Interpretable Spatial Operations in a Rich 3D Blocks World. Yonatan Bisk, Kevin J. Shih, Yejin Choi, Daniel Marcu |
| 2018 | Learning Latent Opinions for Aspect-level Sentiment Classification. Bailin Wang, Wei Lu |
| 2018 | Learning Lexicographic Preference Trees From Positive Examples. Hélène Fargier, Pierre-François Gimenez, Jérôme Mengin |
| 2018 | Learning Mixtures of MLNs. Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal |
| 2018 | Learning Mixtures of Random Utility Models. Zhibing Zhao, Tristan Villamil, Lirong Xia |
| 2018 | Learning Multi-Modal Word Representation Grounded in Visual Context. Eloi Zablocki, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari |
| 2018 | Learning Multi-Way Relations via Tensor Decomposition With Neural Networks. Koji Maruhashi, Masaru Todoriki, Takuya Ohwa, Keisuke Goto, Yu Hasegawa, Hiroya Inakoshi, Hirokazu Anai |
| 2018 | Learning Multimodal Word Representation via Dynamic Fusion Methods. Shaonan Wang, Jiajun Zhang, Chengqing Zong |
| 2018 | Learning Nonlinear Dynamics in Efficient, Balanced Spiking Networks Using Local Plasticity Rules. Alireza Alemi, Christian K. Machens, Sophie Denève, Jean-Jacques E. Slotine |
| 2018 | Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation. Haoshu Fang, Yuanlu Xu, Wenguan Wang, Xiaobai Liu, Song-Chun Zhu |
| 2018 | Learning Predictive State Representations From Non-Uniform Sampling. Yuri Grinberg, Hossein Aboutalebi, Melanie Lyman-Abramovitch, Borja Balle, Doina Precup |
| 2018 | Learning Robust Options. Daniel J. Mankowitz, Timothy A. Mann, Pierre-Luc Bacon, Doina Precup, Shie Mannor |
| 2018 | Learning Robust Search Strategies Using a Bandit-Based Approach. Wei Xia, Roland H. C. Yap |
| 2018 | Learning Sentiment-Specific Word Embedding via Global Sentiment Representation. Peng Fu, Zheng Lin, Fengcheng Yuan, Weiping Wang, Dan Meng |
| 2018 | Learning Spatio-Temporal Features With Partial Expression Sequences for On-the-Fly Prediction. Wissam J. Baddar, Yong Man Ro |
| 2018 | Learning Structured Representation for Text Classification via Reinforcement Learning. Tianyang Zhang, Minlie Huang, Li Zhao |
| 2018 | Learning Transferable Subspace for Human Motion Segmentation. Lichen Wang, Zhengming Ding, Yun Fu |
| 2018 | Learning User Preferences to Incentivize Exploration in the Sharing Economy. Christoph Hirnschall, Adish Singla, Sebastian Tschiatschek, Andreas Krause |
| 2018 | Learning Vector Autoregressive Models With Latent Processes. Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash, Kun Zhang |
| 2018 | Learning With Incomplete Labels. Yingming Li, Zenglin Xu, Zhongfei Zhang |
| 2018 | Learning With Options That Terminate Off-Policy. Anna Harutyunyan, Peter Vrancx, Pierre-Luc Bacon, Doina Precup, Ann Nowé |
| 2018 | Learning With Single-Teacher Multi-Student. Shan You, Chang Xu, Chao Xu, Dacheng Tao |
| 2018 | Learning a Wavelet-Like Auto-Encoder to Accelerate Deep Neural Networks. Tianshui Chen, Liang Lin, Wangmeng Zuo, Xiaonan Luo, Lei Zhang |
| 2018 | Learning an Image-based Obstacle Detector With Automatic Acquisition of Training Data. Stefano Toniolo, Jérôme Guzzi, Luca Maria Gambardella, Alessandro Giusti |
| 2018 | Learning the Behavior of a Dynamical System Via a "20 Questions" Approach. Abhijin Adiga, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns |
| 2018 | Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction. Luchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, Jian Tang |
| 2018 | Learning the Probability of Activation in the Presence of Latent Spreaders. Maggie Makar, John V. Guttag, Jenna Wiens |
| 2018 | Learning to Attack: Adversarial Transformation Networks. Shumeet Baluja, Ian Fischer |
| 2018 | Learning to Attend via Word-Aspect Associative Fusion for Aspect-Based Sentiment Analysis. Yi Tay, Luu Anh Tuan, Siu Cheung Hui |
| 2018 | Learning to Become an Expert: Deep Networks Applied to Super-Resolution Microscopy. Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal |
| 2018 | Learning to Compose Task-Specific Tree Structures. Jihun Choi, Kang Min Yoo, Sang-goo Lee |
| 2018 | Learning to Detect Pointing Gestures From Wearable IMUs. Denis Broggini, Boris Gromov, Alessandro Giusti, Luca Maria Gambardella |
| 2018 | Learning to Extract Coherent Summary via Deep Reinforcement Learning. Yuxiang Wu, Baotian Hu |
| 2018 | Learning to Generalize: Meta-Learning for Domain Generalization. Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales |
| 2018 | Learning to Guide Decoding for Image Captioning. Wenhao Jiang, Lin Ma, Xinpeng Chen, Hanwang Zhang, Wei Liu |
| 2018 | Learning to Interact With Learning Agents. Adish Singla, Seyed Hamed Hassani, Andreas Krause |
| 2018 | Learning to Predict Readability Using Eye-Movement Data From Natives and Learners. Ana Valeria González-Garduño, Anders Søgaard |
| 2018 | Learning to Rank Based on Analogical Reasoning. Mohsen Ahmadi Fahandar, Eyke Hüllermeier |
| 2018 | Less-Forgetful Learning for Domain Expansion in Deep Neural Networks. Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim |
| 2018 | Leveraging Lexical Substitutes for Unsupervised Word Sense Induction. Domagoj Alagic, Jan Snajder, Sebastian Padó |
| 2018 | Lifelong Learning Networks: Beyond Single Agent Lifelong Learning. Mohammad Rostami, Eric Eaton |
| 2018 | Lifted Generalized Dual Decomposition. Nicholas Gallo, Alexander Ihler |
| 2018 | Linear and Integer Programming-Based Heuristics for Cost-Optimal Numeric Planning. Chiara Piacentini, Margarita P. Castro, André Augusto Ciré, J. Christopher Beck |
| 2018 | Linguistic Properties Matter for Implicit Discourse Relation Recognition: Combining Semantic Interaction, Topic Continuity and Attribution. Wenqiang Lei, Yuanxin Xiang, Yuwei Wang, Qian Zhong, Meichun Liu, Min-Yen Kan |
| 2018 | Link Prediction With Personalized Social Influence. Zepeng Huo, Xiao Huang, Xia Hu |
| 2018 | Link Prediction via Subgraph Embedding-Based Convex Matrix Completion. Zhu Cao, Linlin Wang, Gerard de Melo |
| 2018 | Liquid Democracy: An Algorithmic Perspective. Anson Kahng, Simon Mackenzie, Ariel D. Procaccia |
| 2018 | Listening to the World Improves Speech Command Recognition. Brian McMahan, Delip Rao |
| 2018 | Load Scheduling of Simple Temporal Networks Under Dynamic Resource Pricing. T. K. Satish Kumar, Zhi Wang, Anoop Kumar, Craig Milo Rogers, Craig A. Knoblock |
| 2018 | Locality Preserving Projection Based on F-norm. Xiangjie Hu, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin |
| 2018 | Location-Sensitive User Profiling Using Crowdsourced Labels. Wei Niu, James Caverlee, Haokai Lu |
| 2018 | Long Text Generation via Adversarial Training with Leaked Information. Jiaxian Guo, Sidi Lu, Han Cai, Weinan Zhang, Yong Yu, Jun Wang |
| 2018 | Long-Term Image Boundary Prediction. Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz |
| 2018 | Lookine: Let the Blind Hear a Smile. Yaohua Bu, Jia Jia, Yuhan Tang, Xuan Zang, Tianyu Gao |
| 2018 | MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence. Lianmin Zheng, Jiacheng Yang, Han Cai, Ming Zhou, Weinan Zhang, Jun Wang, Yong Yu |
| 2018 | MDP-Based Cost Sensitive Classification Using Decision Trees. Shlomi Maliah, Guy Shani |
| 2018 | MERCS: Multi-Directional Ensembles of Regression and Classification Trees. Elia Van Wolputte, Evgeniya Korneva, Hendrik Blockeel |
| 2018 | MUDA: A Truthful Multi-Unit Double-Auction Mechanism. Erel Segal-Halevi, Avinatan Hassidim, Yonatan Aumann |
| 2018 | Machine-Translated Knowledge Transfer for Commonsense Causal Reasoning. Jinyoung Yeo, Geungyu Wang, Hyunsouk Cho, Seungtaek Choi, Seung-won Hwang |
| 2018 | Manipulative Elicitation - A New Attack on Elections with Incomplete Preferences. Palash Dey |
| 2018 | Margin Based PU Learning. Tieliang Gong, Guangtao Wang, Jieping Ye, Zongben Xu, Ming Lin |
| 2018 | Mars Target Encyclopedia: Rock and Soil Composition Extracted From the Literature. Kiri L. Wagstaff, Raymond Francis, Thamme Gowda, You Lu, Ellen Riloff, Karanjeet Singh, Nina L. Lanza |
| 2018 | MathDQN: Solving Arithmetic Word Problems via Deep Reinforcement Learning. Lei Wang, Dongxiang Zhang, Lianli Gao, Jingkuan Song, Long Guo, Heng Tao Shen |
| 2018 | Matrix Variate Gaussian Mixture Distribution Steered Robust Metric Learning. Lei Luo, Heng Huang |
| 2018 | MaxSAT Resolution With the Dual Rail Encoding. Maria Luisa Bonet, Sam Buss, Alexey Ignatiev, João Marques-Silva, António Morgado |
| 2018 | Maximizing Activity in Ising Networks via the TAP Approximation. Christopher W. Lynn, Daniel D. Lee |
| 2018 | Maximizing Influence in an Unknown Social Network. Bryan Wilder, Nicole Immorlica, Eric Rice, Milind Tambe |
| 2018 | Maximum A Posteriori Inference in Sum-Product Networks. Jun Mei, Yong Jiang, Kewei Tu |
| 2018 | Maximum-Variance Total Variation Denoising for Interpretable Spatial Smoothing. Wesley Tansey, Jesse Thomason, James G. Scott |
| 2018 | Measuring Catastrophic Forgetting in Neural Networks. Ronald Kemker, Marc McClure, Angelina Abitino, Tyler L. Hayes, Christopher Kanan |
| 2018 | Measuring Conditional Independence by Independent Residuals: Theoretical Results and Application in Causal Discovery. Hao Zhang, Shuigeng Zhou, Jihong Guan |
| 2018 | Measuring Strong Inconsistency. Markus Ulbricht, Matthias Thimm, Gerhard Brewka |
| 2018 | Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach. Tong Xu, Hengshu Zhu, Chen Zhu, Pan Li, Hui Xiong |
| 2018 | Medical Exam Question Answering with Large-scale Reading Comprehension. Xiao Zhang, Ji Wu, Zhiyang He, Xien Liu, Ying Su |
| 2018 | Memory Fusion Network for Multi-view Sequential Learning. Amir Zadeh, Paul Pu Liang, Navonil Mazumder, Soujanya Poria, Erik Cambria, Louis-Philippe Morency |
| 2018 | Memory Management With Explicit Time in Resource-Bounded Agents. Valentina Pitoni |
| 2018 | Memory-Augmented Monte Carlo Tree Search. Chenjun Xiao, Jincheng Mei, Martin Müller |
| 2018 | Mention and Entity Description Co-Attention for Entity Disambiguation. Feng Nie, Yunbo Cao, Jinpeng Wang, Chin-Yew Lin, Rong Pan |
| 2018 | Merge or Not? Learning to Group Faces via Imitation Learning. Yue He, Kaidi Cao, Cheng Li, Chen Change Loy |
| 2018 | Mesh-Based Autoencoders for Localized Deformation Component Analysis. Qingyang Tan, Lin Gao, Yu-Kun Lai, Jie Yang, Shihong Xia |
| 2018 | Meta Multi-Task Learning for Sequence Modeling. Jun-Kun Chen, Xipeng Qiu, Pengfei Liu, Xuanjing Huang |
| 2018 | Meta-Search Through the Space of Representations and Heuristics on a Problem by Problem Basis. Raquel Fuentetaja, Michael W. Barley, Daniel Borrajo, Jordan Douglas, Santiago Franco, Patricia J. Riddle |
| 2018 | Metric-Based Auto-Instructor for Learning Mixed Data Representation. Songlei Jian, Liang Hu, Longbing Cao, Kai Lu |
| 2018 | Mighty Thymio for University-Level Educational Robotics. Jérôme Guzzi, Alessandro Giusti, Gianni A. Di Caro, Luca Maria Gambardella |
| 2018 | Minesweeper with Limited Moves. Serge Gaspers, Stefan Rümmele, Abdallah Saffidine, Kevin Tran |
| 2018 | Mining Heavy Temporal Subgraphs: Fast Algorithms and Applications. Jose Cadena, Anil Vullikanti |
| 2018 | Mitigating Overexposure in Viral Marketing. Rediet Abebe, Lada A. Adamic, Jon M. Kleinberg |
| 2018 | Mix-and-Match Tuning for Self-Supervised Semantic Segmentation. Xiaohang Zhan, Ziwei Liu, Ping Luo, Xiaoou Tang, Chen Change Loy |
| 2018 | Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains. Alejandro Molina, Antonio Vergari, Nicola Di Mauro, Sriraam Natarajan, Floriana Esposito, Kristian Kersting |
| 2018 | MixedPeds: Pedestrian Detection in Unannotated Videos Using Synthetically Generated Human-Agents for Training. Ernest Cheung, Anson Wong, Aniket Bera, Dinesh Manocha |
| 2018 | Mobile Network Failure Event Detection and Forecasting With Multiple User Activity Data Sets. Motoyuki Oki, Koh Takeuchi, Yukio Uematsu |
| 2018 | Model AI Assignments 2018. Todd W. Neller, Zack Butler, Nate Derbinsky, Heidi Furey, Fred Martin, Michael Guerzhoy, Ariel Anders, Joshua Eckroth |
| 2018 | Model-Free Iterative Temporal Appliance Discovery for Unsupervised Electricity Disaggregation. Mark Valovage, Akshay Shekhawat, Maria L. Gini |
| 2018 | Modeling Attention and Memory for Auditory Selection in a Cocktail Party Environment. Jiaming Xu, Jing Shi, Guangcan Liu, Xiuyi Chen, Bo Xu |
| 2018 | Modeling Scientific Influence for Research Trending Topic Prediction. Chengyao Chen, Zhitao Wang, Wenjie Li, Xu Sun |
| 2018 | Modeling Temporal Tonal Relations in Polyphonic Music Through Deep Networks With a Novel Image-Based Representation. Ching-Hua Chuan, Dorien Herremans |
| 2018 | Modelling Iterative Judgment Aggregation. Zoi Terzopoulou, Ulle Endriss |
| 2018 | Movie Question Answering: Remembering the Textual Cues for Layered Visual Contents. Bo Wang, Youjiang Xu, Yahong Han, Richang Hong |
| 2018 | Multi-Adversarial Domain Adaptation. Zhongyi Pei, Zhangjie Cao, Mingsheng Long, Jianmin Wang |
| 2018 | Multi-Channel Encoder for Neural Machine Translation. Hao Xiong, Zhongjun He, Xiaoguang Hu, Hua Wu |
| 2018 | Multi-Channel Pyramid Person Matching Network for Person Re-Identification. Chaojie Mao, Yingming Li, Yaqing Zhang, Zhongfei Zhang, Xi Li |
| 2018 | Multi-Entity Aspect-Based Sentiment Analysis With Context, Entity and Aspect Memory. Jun Yang, Runqi Yang, Chongjun Wang, Junyuan Xie |
| 2018 | Multi-Entity Dependence Learning With Rich Context via Conditional Variational Auto-Encoder. Luming Tang, Yexiang Xue, Di Chen, Carla P. Gomes |
| 2018 | Multi-Facet Network Embedding: Beyond the General Solution of Detection and Representation. Liang Yang, Yuanfang Guo, Xiaochun Cao |
| 2018 | Multi-Label Community-Based Question Classification via Personalized Sequence Memory Network Learning. Xinyu Duan, Shengyu Zhang, Zhou Zhao, Fei Wu, Yueting Zhuang |
| 2018 | Multi-Layer Multi-View Classification for Alzheimer's Disease Diagnosis. Changqing Zhang, Ehsan Adeli, Tao Zhou, Xiaobo Chen, Dinggang Shen |
| 2018 | Multi-Level Variational Autoencoder: Learning Disentangled Representations From Grouped Observations. Diane Bouchacourt, Ryota Tomioka, Sebastian Nowozin |
| 2018 | Multi-Modal Multi-Task Learning for Automatic Dietary Assessment. Qi Liu, Yue Zhang, Zhenguang Liu, Ye Yuan, Li Cheng, Roger Zimmermann |
| 2018 | Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification. Zhihui Li, Lina Yao, Feiping Nie, Dingwen Zhang, Min Xu |
| 2018 | Multi-Scale Bidirectional FCN for Object Skeleton Extraction. Fan Yang, Xin Li, Hong Cheng, Yuxiao Guo, Leiting Chen, Jianping Li |
| 2018 | Multi-Scale Face Restoration With Sequential Gating Ensemble Network. Jianxin Lin, Tiankuang Zhou, Zhibo Chen |
| 2018 | Multi-Step Reinforcement Learning: A Unifying Algorithm. Kristopher De Asis, J. Fernando Hernandez-Garcia, G. Zacharias Holland, Richard S. Sutton |
| 2018 | Multi-Step Time Series Generator for Molecular Dynamics. Katsuhiro Endo, Katsufumi Tomobe, Kenji Yasuoka |
| 2018 | Multi-Task Deep Learning for Predicting Poverty From Satellite Images. Shailesh M. Pandey, Tushar Agarwal, Narayanan C. Krishnan |
| 2018 | Multi-Task Learning For Parsing The Alexa Meaning Representation Language. Vittorio Perera, Tagyoung Chung, Thomas Kollar, Emma Strubell |
| 2018 | Multi-Task Medical Concept Normalization Using Multi-View Convolutional Neural Network. Yi Luo, Guojie Song, Pengyu Li, Zhongang Qi |
| 2018 | Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis. Ye Liu, Lifang He, Bokai Cao, Philip S. Yu, Ann B. Ragin, Alex D. Leow |
| 2018 | Multi-attention Recurrent Network for Human Communication Comprehension. Amir Zadeh, Paul Pu Liang, Soujanya Poria, Prateek Vij, Erik Cambria, Louis-Philippe Morency |
| 2018 | Multiagent Connected Path Planning: PSPACE-Completeness and How to Deal With It. Davide Tateo, Jacopo Banfi, Alessandro Riva, Francesco Amigoni, Andrea Bonarini |
| 2018 | Multiagent Simple Temporal Problem: The Arc-Consistency Approach. Shufeng Kong, Jae Hee Lee, Sanjiang Li |
| 2018 | Multimodal Keyless Attention Fusion for Video Classification. Xiang Long, Chuang Gan, Gerard de Melo, Xiao Liu, Yandong Li, Fu Li, Shilei Wen |
| 2018 | Multimodal Poisson Gamma Belief Network. Chaojie Wang, Bo Chen, Mingyuan Zhou |
| 2018 | Multispectral Transfer Network: Unsupervised Depth Estimation for All-Day Vision. Namil Kim, Yukyung Choi, Soonmin Hwang, In So Kweon |
| 2018 | Multiwinner Elections With Diversity Constraints. Robert Bredereck, Piotr Faliszewski, Ayumi Igarashi, Martin Lackner, Piotr Skowron |
| 2018 | MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment. Hao-Wen Dong, Wen-Yi Hsiao, Li-Chia Yang, Yi-Hsuan Yang |
| 2018 | Negative-Aware Influence Maximization on Social Networks. Yipeng Chen, Hongyan Li, Qiang Qu |
| 2018 | Neural Character-level Dependency Parsing for Chinese. Haonan Li, Zhisong Zhang, Yuqi Ju, Hai Zhao |
| 2018 | Neural Cross-Lingual Entity Linking. Avirup Sil, Gourab Kundu, Radu Florian, Wael Hamza |
| 2018 | Neural Ideal Point Estimation Network. Kyungwoo Song, Wonsung Lee, Il-Chul Moon |
| 2018 | Neural Knowledge Acquisition via Mutual Attention Between Knowledge Graph and Text. Xu Han, Zhiyuan Liu, Maosong Sun |
| 2018 | Neural Link Prediction over Aligned Networks. Xuezhi Cao, Haokun Chen, Xuejian Wang, Weinan Zhang, Yong Yu |
| 2018 | Neural Machine Translation with Gumbel-Greedy Decoding. Jiatao Gu, Daniel Jiwoong Im, Victor O. K. Li |
| 2018 | Neural Networks Incorporating Dictionaries for Chinese Word Segmentation. Qi Zhang, Xiaoyu Liu, Jinlan Fu |
| 2018 | Neural Response Generation With Dynamic Vocabularies. Yu Wu, Wei Wu, Dejian Yang, Can Xu, Zhoujun Li |
| 2018 | Never Retreat, Never Retract: Argumentation Analysis for Political Speeches. Stefano Menini, Elena Cabrio, Sara Tonelli, Serena Villata |
| 2018 | New l Xu Yang, Cheng Deng, Xianglong Liu, Feiping Nie |
| 2018 | No Modes Left Behind: Capturing the Data Distribution Effectively Using GANs. Shashank Sharma, Vinay P. Namboodiri |
| 2018 | Noisy Derivative-Free Optimization With Value Suppression. Hong Wang, Hong Qian, Yang Yu |
| 2018 | Non-Discriminatory Machine Learning Through Convex Fairness Criteria. Naman Goel, Mohammad Yaghini, Boi Faltings |
| 2018 | Non-Exploitable Protocols for Repeated Cake Cutting. Omer Tamuz, Shai Vardi, Juba Ziani |
| 2018 | Non-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data Analysis. Yuxun Zhou, Han Zou, Reza Arghandeh, Weixi Gu, Costas J. Spanos |
| 2018 | Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis. Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan |
| 2018 | Nonlinear Pairwise Layer and Its Training for Kernel Learning. Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li |
| 2018 | Nonlocal Patch Based t-SVD for Image Inpainting: Algorithm and Error Analysis. Liangchen Song, Bo Du, Lefei Zhang, Liangpei Zhang, Jia Wu, Xuelong Li |
| 2018 | Nonparametric Stochastic Contextual Bandits. Melody Y. Guan, Heinrich Jiang |
| 2018 | Norm Conflict Resolution in Stochastic Domains. Daniel Kasenberg, Matthias Scheutz |
| 2018 | Novel Exploration Techniques (NETs) for Malaria Policy Interventions. Oliver Bent, Sekou L. Remy, Stephen J. Roberts, Aisha Walcott-Bryant |
| 2018 | NuMWVC: A Novel Local Search for Minimum Weighted Vertex Cover Problem. Ruizhi Li, Shaowei Cai, Shuli Hu, Minghao Yin, Jian Gao |
| 2018 | OTyper: A Neural Architecture for Open Named Entity Typing. Zheng Yuan, Doug Downey |
| 2018 | On Consensus in Belief Merging. Nicolas Schwind, Pierre Marquis |
| 2018 | On Controlling the Size of Clusters in Probabilistic Clustering. Aditya Jitta, Arto Klami |
| 2018 | On Convergence of Epanechnikov Mean Shift. Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos |
| 2018 | On Cryptographic Attacks Using Backdoors for SAT. Alexander A. Semenov, Oleg Zaikin, Ilya V. Otpuschennikov, Stepan Kochemazov, Alexey Ignatiev |
| 2018 | On Data-Dependent Random Features for Improved Generalization in Supervised Learning. Shahin Shahrampour, Ahmad Beirami, Vahid Tarokh |
| 2018 | On Multi-Relational Link Prediction With Bilinear Models. Yanjie Wang, Rainer Gemulla, Hui Li |
| 2018 | On Multiset Selection With Size Constraints. Chao Qian, Yibo Zhang, Ke Tang, Xin Yao |
| 2018 | On Organizing Online Soirees with Live Multi-Streaming. Chih-Ya Shen, Cedric Parfait Kankeu Fotsing, De-Nian Yang, Yi-Shin Chen, Wang-Chien Lee |
| 2018 | On Recognising Nearly Single-Crossing Preferences. Florian Jaeckle, Dominik Peters, Edith Elkind |
| 2018 | On Social Envy-Freeness in Multi-Unit Markets. Michele Flammini, Manuel Mauro, Matteo Tonelli |
| 2018 | On Trivial Solution and High Correlation Problems in Deep Supervised Hashing. Yuchen Guo, Xin Zhao, Guiguang Ding, Jungong Han |
| 2018 | On Validation and Predictability of Digital Badges' Influence on Individual Users. Tomasz Kusmierczyk, Kjetil Nørvåg |
| 2018 | On Value Function Representation of Long Horizon Problems. Lucas Lehnert, Romain Laroche, Harm van Seijen |
| 2018 | On the Approximation of Nash Equilibria in Sparse Win-Lose Games. Zhengyang Liu, Ying Sheng |
| 2018 | On the Complexity of Extended and Proportional Justified Representation. Haris Aziz, Edith Elkind, Shenwei Huang, Martin Lackner, Luis Sánchez Fernández, Piotr Skowron |
| 2018 | On the Distortion of Voting With Multiple Representative Candidates. Yu Cheng, Shaddin Dughmi, David Kempe |
| 2018 | On the ERM Principle With Networked Data. Yuanhong Wang, Yuyi Wang, Xingwu Liu, Juhua Pu |
| 2018 | On the Importance of a Research Data Archive. Benedict Wright, Oliver Brunner, Bernhard Nebel |
| 2018 | On the Optimal Bit Complexity of Circulant Binary Embedding. Saehoon Kim, Jungtaek Kim, Seungjin Choi |
| 2018 | On the Relationship Between State-Dependent Action Costs and Conditional Effects in Planning. Robert Mattmüller, Florian Geißer, Benedict Wright, Bernhard Nebel |
| 2018 | On the Satisfiability Problem of Patterns in SPARQL 1.1. Xiaowang Zhang, Jan Van den Bussche, Kewen Wang, Zhe Wang |
| 2018 | On the Time and Space Complexity of Genetic Programming for Evolving Boolean Conjunctions. Andrei Lissovoi, Pietro S. Oliveto |
| 2018 | Online Clustering of Contextual Cascading Bandits. Shuai Li, Shengyu Zhang |
| 2018 | Online Learning for Structured Loss Spaces. Siddharth Barman, Aditya Gopalan, Aadirupa Saha |
| 2018 | Open-World Knowledge Graph Completion. Baoxu Shi, Tim Weninger |
| 2018 | Optimal Approximation of Random Variables for Estimating the Probability of Meeting a Plan Deadline. Liat Cohen, Tal Grinshpoun, Gera Weiss |
| 2018 | Optimal Margin Distribution Clustering. Teng Zhang, Zhi-Hua Zhou |
| 2018 | Optimal Pricing for Distance-Based Transit Fares. Richard Hoshino, Jeneva Beairsto |
| 2018 | Optimal Spot-Checking for Improving Evaluation Accuracy of Peer Grading Systems. Wanyuan Wang, Bo An, Yichuan Jiang |
| 2018 | Optimised Maintenance of Datalog Materialisations. Pan Hu, Boris Motik, Ian Horrocks |
| 2018 | Optimizing Interventions via Offline Policy Evaluation: Studies in Citizen Science. Avi Segal, Kobi Gal, Ece Kamar, Eric Horvitz, Grant Miller |
| 2018 | OptionGAN: Learning Joint Reward-Policy Options Using Generative Adversarial Inverse Reinforcement Learning. Peter Henderson, Wei-Di Chang, Pierre-Luc Bacon, David Meger, Joelle Pineau, Doina Precup |
| 2018 | Order-Free RNN With Visual Attention for Multi-Label Classification. Shang-Fu Chen, Yi-Chen Chen, Chih-Kuan Yeh, Yu-Chiang Frank Wang |
| 2018 | Order-Planning Neural Text Generation From Structured Data. Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui |
| 2018 | Orthant-Wise Passive Descent Algorithms for Training L Jianqiao Wangni |
| 2018 | Orthogonal Weight Normalization: Solution to Optimization Over Multiple Dependent Stiefel Manifolds in Deep Neural Networks. Lei Huang, Xianglong Liu, Bo Lang, Adams Wei Yu, Yongliang Wang, Bo Li |
| 2018 | Overlap-Robust Decision Boundary Learning for Within-Network Classification. Sharad Nandanwar, M. Narasimha Murty |
| 2018 | PAC Reinforcement Learning With an Imperfect Model. Nan Jiang |
| 2018 | POMDP-Based Decision Making for Fast Event Handling in VANETs. Shuo Chen, Athirai Aravazhi Irissappane, Jie Zhang |
| 2018 | PVL: A Framework for Navigating the Precision-Variety Trade-Off in Automated Animation of Smiles. Nicholas Sohre, Moses Adeagbo, Nathaniel Helwig, Sofia Lyford-Pike, Stephen J. Guy |
| 2018 | Parallel Algorithms for Operations on Multi-Valued Decision Diagrams. Guillaume Perez, Jean-Charles Régin |
| 2018 | Parameter-Free Centralized Multi-Task Learning for Characterizing Developmental Sex Differences in Resting State Functional Connectivity. Xiaofeng Zhu, Hongming Li, Yong Fan |
| 2018 | Partial Multi-Label Learning. Ming-Kun Xie, Sheng-Jun Huang |
| 2018 | Partial Multi-View Outlier Detection Based on Collective Learning. Jun Guo, Wenwu Zhu |
| 2018 | Partial Truthfulness in Minimal Peer Prediction Mechanisms With Limited Knowledge. Goran Radanovic, Boi Faltings |
| 2018 | Path-Based Attention Neural Model for Fine-Grained Entity Typing. Denghui Zhang, Manling Li, Pengshan Cai, Yantao Jia, Yuanzhuo Wang |
| 2018 | PegasusN: A Scalable and Versatile Graph Mining System. Ha-Myung Park, Chiwan Park, U Kang |
| 2018 | Perceiving, Learning, and Recognizing 3D Objects: An Approach to Cognitive Service Robots. S. Hamidreza Kasaei, Juil Sock, Luís Seabra Lopes, Ana Maria Tomé, Tae-Kyun Kim |
| 2018 | Perception Coordination Network: A Framework for Online Multi-Modal Concept Acquisition and Binding. Youlu Xing, Furao Shen, Jinxi Zhao, Jingxin Pan, Ah-Hwee Tan |
| 2018 | Perception-Action-Learning System for Mobile Social-Service Robots Using Deep Learning. Beom-Jin Lee, Jinyoung Choi, Chung-Yeon Lee, Kyung-Wha Park, Sungjun Choi, Cheolho Han, Dong-Sig Han, Christina Baek, Patrick Mokodir Emaase, Byoung-Tak Zhang |
| 2018 | Personalized Human Activity Recognition Using Convolutional Neural Networks. Seyed Ali Rokni, Marjan Nourollahi, Hassan Ghasemzadeh |
| 2018 | Personalized Privacy-Preserving Social Recommendation. Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang |
| 2018 | Personalized Time-Aware Tag Recommendation. Keqiang Wang, Yuanyuan Jin, Haofen Wang, Hongwei Peng, Xiaoling Wang |
| 2018 | Personalizing a Dialogue System With Transfer Reinforcement Learning. Kaixiang Mo, Yu Zhang, Shuangyin Li, Jiajun Li, Qiang Yang |
| 2018 | Persuasive Influence Detection: The Role of Argument Sequencing. Christopher Hidey, Kathleen R. McKeown |
| 2018 | Phase-Parametric Policies for Reinforcement Learning in Cyclic Environments. Arjun Sharma, Kris M. Kitani |
| 2018 | Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and Authentication. Ahmed Elgammal, Yan Kang, Milko Den Leeuw |
| 2018 | PixelLink: Detecting Scene Text via Instance Segmentation. Dan Deng, Haifeng Liu, Xuelong Li, Deng Cai |
| 2018 | Placing Objects in Gesture Space: Toward Incremental Interpretation of Multimodal Spatial Descriptions. Ting Han, Casey Kennington, David Schlangen |
| 2018 | Plan Recognition in Continuous Domains. Gal A. Kaminka, Mor Vered, Noa Agmon |
| 2018 | Plan-Based Intention Revision. Adam Amos-Binks, R. Michael Young |
| 2018 | Planning With Pixels in (Almost) Real Time. Wilmer Bandres, Blai Bonet, Hector Geffner |
| 2018 | Planning and Learning for Decentralized MDPs With Event Driven Rewards. Tarun Gupta, Akshat Kumar, Praveen Paruchuri |
| 2018 | Playing SNES Games With NeuroEvolution of Augmenting Topologies. Son Pham, Keyi Zhang, Tung Phan, Jasper Ding, Christopher L. Dancy |
| 2018 | Policy Learning for Continuous Space Security Games Using Neural Networks. Nitin Kamra, Umang Gupta, Fei Fang, Yan Liu, Milind Tambe |
| 2018 | PoseHD: Boosting Human Detectors Using Human Pose Information. Zhijian Liu, Bowen Pan, Yuliang Xiu, Cewu Lu |
| 2018 | Preallocation and Planning Under Stochastic Resource Constraints. Frits de Nijs, Matthijs T. J. Spaan, Mathijs Michiel de Weerdt |
| 2018 | Predicting Aesthetic Score Distribution Through Cumulative Jensen-Shannon Divergence. Xin Jin, Le Wu, Xiaodong Li, Siyu Chen, Siwei Peng, Jingying Chi, Shiming Ge, Chenggen Song, Geng Zhao |
| 2018 | Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion. Aven Samareh, Yan Jin, Zhangyang Wang, Xiangyu Chang, Shuai Huang |
| 2018 | Predicting Links in Plant-Pollinator Interaction Networks Using Latent Factor Models With Implicit Feedback. Eugene Seo, Rebecca A. Hutchinson |
| 2018 | Predicting Vehicular Travel Times by Modeling Heterogeneous Influences Between Arterial Roads. Avinash Achar, Venkatesh Sarangan, Rohith Regikumar, Anand Sivasubramaniam |
| 2018 | Predictive Coding Machine for Compressed Sensing and Image Denoising. Jun Li, Hongfu Liu, Yun Fu |
| 2018 | Predictive Modeling of Learning Continuation in Preschool Education Using Temporal Patterns of Development Tests. Junpei Naito, Yukino Baba, Hisashi Kashima, Takenori Takaki, Takuya Funo |
| 2018 | Preliminary Results on Exploration-Driven Satisfiability Solving. Md. Solimul Chowdhury, Martin Müller, Jia-Huai You |
| 2018 | Premise Set Caching for Enumerating Minimal Correction Subsets. Alessandro Previti, Carlos Mencía, Matti Järvisalo, João Marques-Silva |
| 2018 | Preventing Infectious Disease in Dynamic Populations Under Uncertainty. Bryan Wilder, Sze-Chuan Suen, Milind Tambe |
| 2018 | Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization. Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li |
| 2018 | Privacy-Preserving Policy Iteration for Decentralized POMDPs. Feng Wu, Shlomo Zilberstein, Xiaoping Chen |
| 2018 | Probabilistic Ensemble of Collaborative Filters. Zhiyu Min, Dahua Lin |
| 2018 | Probabilistic Inference Over Repeated Insertion Models. Batya Kenig, Lovro Ilijasic, Haoyue Ping, Benny Kimelfeld, Julia Stoyanovich |
| 2018 | Probabilistic Planning With Influence Diagrams. Junkyu Lee |
| 2018 | Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018 Sheila A. McIlraith, Kilian Q. Weinberger |
| 2018 | Product Quantized Translation for Fast Nearest Neighbor Search. Yoonho Hwang, Mooyeol Baek, Saehoon Kim, Bohyung Han, Hee-Kap Ahn |
| 2018 | Progressive Cognitive Human Parsing. Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang |
| 2018 | Proper Loss Functions for Nonlinear Hawkes Processes. Aditya Krishna Menon, Young Lee |
| 2018 | Proposition Entailment in Educational Applications Using Deep Neural Networks. Florin Adrian Bulgarov, Rodney Nielsen |
| 2018 | Proposition Entailment in Educational Applications using Deep Neural Networks. Florin Adrian Bulgarov, Rodney Nielsen |
| 2018 | Proximal Alternating Direction Network: A Globally Converged Deep Unrolling Framework. Risheng Liu, Xin Fan, Shichao Cheng, Xiangyu Wang, Zhongxuan Luo |
| 2018 | Qualitative Reasoning About Cardinal Directions Using Answer Set Programming. Yusuf Izmirlioglu, Esra Erdem |
| 2018 | Quantized Memory-Augmented Neural Networks. Seongsik Park, Sei Joon Kim, Seil Lee, Ho Bae, Sungroh Yoon |
| 2018 | Question Answering as Global Reasoning Over Semantic Abstractions. Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Dan Roth |
| 2018 | Question-Answering with Grammatically-Interpretable Representations. Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng |
| 2018 | R Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerry Tesauro, Bowen Zhou, Jing Jiang |
| 2018 | R-FCN++: Towards Accurate Region-Based Fully Convolutional Networks for Object Detection. Zeming Li, Yilun Chen, Gang Yu, Yangdong Deng |
| 2018 | RAN4IQA: Restorative Adversarial Nets for No-Reference Image Quality Assessment. Hongyu Ren, Diqi Chen, Yizhou Wang |
| 2018 | RNN-Based Sequence-Preserved Attention for Dependency Parsing. Yi Zhou, Junying Zhou, Lu Liu, Jiangtao Feng, Haoyuan Peng, Xiaoqing Zheng |
| 2018 | ROAR: Robust Label Ranking for Social Emotion Mining. Jason (Jiasheng) Zhang, Dongwon Lee |
| 2018 | RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-Imbalanced Labels for Network Embedding. Zheng Wang, Xiaojun Ye, Chaokun Wang, Yuexin Wu, Changping Wang, Kaiwen Liang |
| 2018 | RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems. Chongyang Tao, Lili Mou, Dongyan Zhao, Rui Yan |
| 2018 | Rainbow: Combining Improvements in Deep Reinforcement Learning. Matteo Hessel, Joseph Modayil, Hado van Hasselt, Tom Schaul, Georg Ostrovski, Will Dabney, Dan Horgan, Bilal Piot, Mohammad Gheshlaghi Azar, David Silver |
| 2018 | Randomized Clustered Nystrom for Large-Scale Kernel Machines. Farhad Pourkamali-Anaraki, Stephen Becker, Michael B. Wakin |
| 2018 | Randomized Kernel Selection With Spectra of Multilevel Circulant Matrices. Lizhong Ding, Shizhong Liao, Yong Liu, Peng Yang, Xin Gao |
| 2018 | Rank Maximal Equal Contribution: A Probabilistic Social Choice Function. Haris Aziz, Pang Luo, Christine Rizkallah |
| 2018 | Ranking Users in Social Networks With Higher-Order Structures. Huan Zhao, Xiaogang Xu, Yangqiu Song, Dik Lun Lee, Zhao Chen, Han Gao |
| 2018 | Ranking Wily People Who Rank Each Other. Anson Kahng, Yasmine Kotturi, Chinmay Kulkarni, David Kurokawa, Ariel D. Procaccia |
| 2018 | Rating Super-Resolution Microscopy Images With Deep Learning. Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal |
| 2018 | Rational Inference Patterns Based on Conditional Logic. Christian Eichhorn, Gabriele Kern-Isberner, Marco Ragni |
| 2018 | Reading With Robots: Towards a Human-Robot Book Discussion System for Elderly Adults. Natalie Parde |
| 2018 | Reasonableness Monitors. Leilani H. Gilpin |
| 2018 | Recognizing and Justifying Text Entailment Through Distributional Navigation on Definition Graphs. Vivian Dos Santos Silva, Siegfried Handschuh, André Freitas |
| 2018 | Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition. Tianshui Chen, Zhouxia Wang, Guanbin Li, Liang Lin |
| 2018 | Recurrently Aggregating Deep Features for Salient Object Detection. Xiaowei Hu, Lei Zhu, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng |
| 2018 | Reduced-Rank Linear Dynamical Systems. Qi She, Yuan Gao, Kai Xu, Rosa H. M. Chan |
| 2018 | Region-Based Quality Estimation Network for Large-Scale Person Re-Identification. Guanglu Song, Biao Leng, Yu Liu, Congrui Hetang, Shaofan Cai |
| 2018 | Regularizing Deep Networks Using Efficient Layerwise Adversarial Training. Swami Sankaranarayanan, Arpit Jain, Rama Chellappa, Ser-Nam Lim |
| 2018 | Reinforced Multi-Label Image Classification by Exploring Curriculum. Shiyi He, Chang Xu, Tianyu Guo, Chao Xu, Dacheng Tao |
| 2018 | Reinforcement Learning for Relation Classification From Noisy Data. Jun Feng, Minlie Huang, Li Zhao, Yang Yang, Xiaoyan Zhu |
| 2018 | Reinforcement Learning in POMDPs With Memoryless Options and Option-Observation Initiation Sets. Denis Steckelmacher, Diederik M. Roijers, Anna Harutyunyan, Peter Vrancx, Hélène Plisnier, Ann Nowé |
| 2018 | Reinforcement Mechanism Design for Fraudulent Behaviour in e-Commerce. Qingpeng Cai, Aris Filos-Ratsikas, Pingzhong Tang, Yiwei Zhang |
| 2018 | RelNN: A Deep Neural Model for Relational Learning. Seyed Mehran Kazemi, David Poole |
| 2018 | Relating Children's Automatically Detected Facial Expressions to Their Behavior in RoboTutor. Mayank Saxena, Rohith Krishnan Pillai, Jack Mostow |
| 2018 | Relational Marginal Problems: Theory and Estimation. Ondrej Kuzelka, Yuyi Wang, Jesse Davis, Steven Schockaert |
| 2018 | Reliable Multi-View Clustering. Hong Tao, Chenping Hou, Xinwang Liu, Tongliang Liu, Dongyun Yi, Jubo Zhu |
| 2018 | Repairing Ontologies via Axiom Weakening. Nicolas Troquard, Roberto Confalonieri, Pietro Galliani, Rafael Peñaloza, Daniele Porello, Oliver Kutz |
| 2018 | Representation Learning for Scale-Free Networks. Rui Feng, Yang Yang, Wenjie Hu, Fei Wu, Yueting Zhang |
| 2018 | Residual Encoder Decoder Network and Adaptive Prior for Face Parsing. Tianchu Guo, Youngsung Kim, Hui Zhang, Deheng Qian, ByungIn Yoo, Jingtao Xu, Dongqing Zou, Jae-Joon Han, Changkyu Choi |
| 2018 | Resource Allocation Polytope Games: Uniqueness of Equilibrium, Price of Stability, and Price of Anarchy. Swapnil Dhamal, Walid Ben-Ameur, Tijani Chahed, Eitan Altman |
| 2018 | Resource-Constrained Scheduling for Maritime Traffic Management. Lucas Agussurja, Akshat Kumar, Hoong Chuin Lau |
| 2018 | Retrieving and Classifying Affective Images via Deep Metric Learning. Jufeng Yang, Dongyu She, Yu-Kun Lai, Ming-Hsuan Yang |
| 2018 | Reversible Architectures for Arbitrarily Deep Residual Neural Networks. Bo Chang, Lili Meng, Eldad Haber, Lars Ruthotto, David Begert, Elliot Holtham |
| 2018 | Revisiting Immediate Duplicate Detection in External Memory Search. Shunji Lin, Alex Fukunaga |
| 2018 | Rich Coalitional Resource Games. Nicolas Troquard |
| 2018 | Riemannian Stein Variational Gradient Descent for Bayesian Inference. Chang Liu, Jun Zhu |
| 2018 | Risk-Aware Proactive Scheduling via Conditional Value-at-Risk. Wen Song, Donghun Kang, Jie Zhang, Hui Xi |
| 2018 | Risk-Sensitive Submodular Optimization. Bryan Wilder |
| 2018 | Robust Collaborative Discriminative Learning for RGB-Infrared Tracking. Xiangyuan Lan, Mang Ye, Shengping Zhang, Pong C. Yuen |
| 2018 | Robust Detection of Link Communities in Large Social Networks by Exploiting Link Semantics. Di Jin, Xiaobao Wang, Ruifang He, Dongxiao He, Jianwu Dang, Weixiong Zhang |
| 2018 | Robust Formulation for PCA: Avoiding Mean Calculation With L Shuangli Liao, Jin Li, Yang Liu, Quanxue Gao, Xinbo Gao |
| 2018 | Robust Stackelberg Equilibria in Extensive-Form Games and Extension to Limited Lookahead. Christian Kroer, Gabriele Farina, Tuomas Sandholm |
| 2018 | Rocket Launching: A Universal and Efficient Framework for Training Well-Performing Light Net. Guorui Zhou, Ying Fan, Runpeng Cui, Weijie Bian, Xiaoqiang Zhu, Kun Gai |
| 2018 | S-Net: From Answer Extraction to Answer Synthesis for Machine Reading Comprehension. Chuanqi Tan, Furu Wei, Nan Yang, Bowen Du, Weifeng Lv, Ming Zhou |
| 2018 | SAGA: A Submodular Greedy Algorithm for Group Recommendation. Shameem Ahamed Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla |
| 2018 | SAP: Self-Adaptive Proposal Model for Temporal Action Detection Based on Reinforcement Learning. Jingjia Huang, Nannan Li, Tao Zhang, Ge Li, Tiejun Huang, Wen Gao |
| 2018 | SC2Net: Sparse LSTMs for Sparse Coding. Joey Tianyi Zhou, Kai Di, Jiawei Du, Xi Peng, Hao Yang, Sinno Jialin Pan, Ivor W. Tsang, Yong Liu, Zheng Qin, Rick Siow Mong Goh |
| 2018 | SEE: Syntax-Aware Entity Embedding for Neural Relation Extraction. Zhengqiu He, Wenliang Chen, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang |
| 2018 | SEE: Towards Semi-Supervised End-to-End Scene Text Recognition. Christian Bartz, Haojin Yang, Christoph Meinel |
| 2018 | SELF: Structural Equational Likelihood Framework for Causal Discovery. Ruichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao |
| 2018 | SFCN-OPI: Detection and Fine-Grained Classification of Nuclei Using Sibling FCN With Objectness Prior Interaction. Yanning Zhou, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng |
| 2018 | SNNN: Promoting Word Sentiment and Negation in Neural Sentiment Classification. Qinmin Hu, Jie Zhou, Qin Chen, Liang He |
| 2018 | SPINE: SParse Interpretable Neural Embeddings. Anant Subramanian, Danish Pruthi, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Eduard H. Hovy |
| 2018 | SPOT Poachers in Action: Augmenting Conservation Drones With Automatic Detection in Near Real Time. Elizabeth Bondi, Fei Fang, Mark Hamilton, Debarun Kar, Donnabell Dmello, Jongmoo Choi, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe, Ram Nevatia |
| 2018 | Safe Exploration and Optimization of Constrained MDPs Using Gaussian Processes. Akifumi Wachi, Yanan Sui, Yisong Yue, Masahiro Ono |
| 2018 | Safe Reinforcement Learning via Formal Methods: Toward Safe Control Through Proof and Learning. Nathan Fulton, André Platzer |
| 2018 | Safe Reinforcement Learning via Shielding. Mohammed Alshiekh, Roderick Bloem, Rüdiger Ehlers, Bettina Könighofer, Scott Niekum, Ufuk Topcu |
| 2018 | Sample-Efficient Learning of Mixtures. Hassan Ashtiani, Shai Ben-David, Abbas Mehrabian |
| 2018 | Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Networks. Johan Bjorck, Yiwei Bai, Xiaojian Wu, Yexiang Xue, Mark C. Whitmore, Carla P. Gomes |
| 2018 | Scale Up Event Extraction Learning via Automatic Training Data Generation. Ying Zeng, Yansong Feng, Rong Ma, Zheng Wang, Rui Yan, Chongde Shi, Dongyan Zhao |
| 2018 | Scene-Centric Joint Parsing of Cross-View Videos. Hang Qi, Yuanlu Xu, Tao Yuan, Tianfu Wu, Song-Chun Zhu |
| 2018 | Scheduling in Visual Fog Computing: NP-Completeness and Practical Efficient Solutions. Hong-Min Chu, Shao-Wen Yang, Padmanabhan Pillai, Yen-Kuang Chen |
| 2018 | Schur Number Five. Marijn J. H. Heule |
| 2018 | SciTaiL: A Textual Entailment Dataset from Science Question Answering. Tushar Khot, Ashish Sabharwal, Peter Clark |
| 2018 | Search Action Sequence Modeling With Long Short-Term Memory for Search Task Success Evaluation. Alin Fan, Ling Chen, Gencai Chen |
| 2018 | Search Engine Guided Neural Machine Translation. Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O. K. Li |
| 2018 | Secure and Automated Enterprise Revenue Forecasting. Jocelyn Barker, Amita Gajewar, Konstantin Golyaev, Gagan Bansal, Matt Conners |
| 2018 | Selecting Proper Multi-Class SVM Training Methods. Yawen Chen, Zeyi Wen, Jian Chen, Jin Huang |
| 2018 | Selective Experience Replay for Lifelong Learning. David Isele, Akansel Cosgun |
| 2018 | Selective Verification Strategy for Learning From Crowds. Tian Tian, Yichi Zhou, Jun Zhu |
| 2018 | Self-Reinforced Cascaded Regression for Face Alignment. Xin Fan, Risheng Liu, Kang Huyan, Yuyao Feng, Zhongxuan Luo |
| 2018 | Self-View Grounding Given a Narrated 360° Video. Shih-Han Chou, Yi-Chun Chen, Kuo-Hao Zeng, Hou-Ning Hu, Jianlong Fu, Min Sun |
| 2018 | Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence. Qian Liu, Heyan Huang, Guangquan Zhang, Yang Gao, Junyu Xuan, Jie Lu |
| 2018 | Semantic Understanding for Contextual In-Video Advertising. Rishi Madhok, Shashank Mujumdar, Nitin Gupta, Sameep Mehta |
| 2018 | Semi-Black Box: Rapid Development of Planning Based Solutions. Michael Katz, Dany Moshkovich, Erez Karpas |
| 2018 | Semi-Distantly Supervised Neural Model for Generating Compact Answers to Open-Domain Why Questions. Ryo Ishida, Kentaro Torisawa, Jong-Hoon Oh, Ryu Iida, Canasai Kruengkrai, Julien Kloetzer |
| 2018 | Semi-Supervised AUC Optimization Without Guessing Labels of Unlabeled Data. Zheng Xie, Ming Li |
| 2018 | Semi-Supervised Bayesian Attribute Learning for Person Re-Identification. Wenhe Liu, Xiaojun Chang, Ling Chen, Yi Yang |
| 2018 | Semi-Supervised Biomedical Translation With Cycle Wasserstein Regression GANs. Matthew B. A. McDermott, Tom Yan, Tristan Naumann, Nathan Hunt, Harini Suresh, Peter Szolovits, Marzyeh Ghassemi |
| 2018 | Semi-Supervised Learning From Crowds Using Deep Generative Models. Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara |
| 2018 | Sensor-Based Activity Recognition via Learning From Distributions. Hangwei Qian, Sinno Jialin Pan, Chunyan Miao |
| 2018 | Sentence Ordering and Coherence Modeling using Recurrent Neural Networks. Lajanugen Logeswaran, Honglak Lee, Dragomir R. Radev |
| 2018 | SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings. Erik Cambria, Soujanya Poria, Devamanyu Hazarika, Kenneth Kwok |
| 2018 | Sentient Ascend: AI-Based Massively Multivariate Conversion Rate Optimization. Risto Miikkulainen, Neil Iscoe, Aaron Shagrin, Ryan Rapp, Sam Nazari, Patrick McGrath, Cory Schoolland, Elyas Achkar, Myles Brundage, Jeremy Miller, Jonathan Epstein, Gurmeet Lamba |
| 2018 | Sentiment Analysis via Deep Hybrid Textual-Crowd Learning Model. Kamran Ghasedi Dizaji, Heng Huang |
| 2018 | Sentiment Lexicon Enhanced Attention-Based LSTM for Sentiment Classification. Zeyang Lei, Yujiu Yang, Min Yang |
| 2018 | Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring. Chaoyun Zhang, Mingjun Zhong, Zongzuo Wang, Nigel H. Goddard, Charles Sutton |
| 2018 | Sequence-to-Sequence Learning via Shared Latent Representation. Xu Shen, Xinmei Tian, Jun Xing, Yong Rui, Dacheng Tao |
| 2018 | Sequential Copying Networks. Qingyu Zhou, Nan Yang, Furu Wei, Ming Zhou |
| 2018 | Sequential Decision Making in Artificial Musical Intelligence. Elad Liebman |
| 2018 | Show, Reward and Tell: Automatic Generation of Narrative Paragraph From Photo Stream by Adversarial Training. Jing Wang, Jianlong Fu, Jinhui Tang, Zechao Li, Tao Mei |
| 2018 | Single-Peakedness and Total Unimodularity: New Polynomial-Time Algorithms for Multi-Winner Elections. Dominik Peters |
| 2018 | Situation Calculus Semantics for Actual Causality. Vitaliy Batusov, Mikhail Soutchanski |
| 2018 | Sketch Worksheets in STEM Classrooms: Two Deployments. Kenneth D. Forbus, Bridget Garnier, Basil Tikoff, Wayne Marko, Madeline Usher, Matthew D. McLure |
| 2018 | SkipFlow: Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring. Yi Tay, Minh C. Phan, Luu Anh Tuan, Siu Cheung Hui |
| 2018 | Skyline Computation for Low-Latency Image-Activated Cell Identification. Kenichi Koizumi, Kei Hiraki, Mary Inaba |
| 2018 | Slim Embedding Layers for Recurrent Neural Language Models. Zhongliang Li, Raymond Kulhanek, Shaojun Wang, Yunxin Zhao, Shuang Wu |
| 2018 | SmartHS: An AI Platform for Improving Government Service Provision. Yongqing Zheng, Han Yu, Lizhen Cui, Chunyan Miao, Cyril Leung, Qiang Yang |
| 2018 | Social Norms of Cooperation With Costly Reputation Building. Fernando P. Santos, Jorge M. Pacheco, Francisco C. Santos |
| 2018 | Social Recommendation with an Essential Preference Space. Chun-Yi Liu, Chuan Zhou, Jia Wu, Yue Hu, Li Guo |
| 2018 | Solving Generalized Column Subset Selection With Heuristic Search. Swair Shah, Baokun He, Ke Xu, Crystal Maung, Haim Schweitzer |
| 2018 | Source Traces for Temporal Difference Learning. Silviu Pitis |
| 2018 | Source-Target Inference Models for Spatial Instruction Understanding. Hao Tan, Mohit Bansal |
| 2018 | Sparse Gaussian Conditional Random Fields on Top of Recurrent Neural Networks. Xishun Wang, Minjie Zhang, Fenghui Ren |
| 2018 | Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data. Guansong Pang, Longbing Cao, Ling Chen, Defu Lian, Huan Liu |
| 2018 | Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition. Sijie Yan, Yuanjun Xiong, Dahua Lin |
| 2018 | Spatial as Deep: Spatial CNN for Traffic Scene Understanding. Xingang Pan, Jianping Shi, Ping Luo, Xiaogang Wang, Xiaoou Tang |
| 2018 | Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition. Chaolong Li, Zhen Cui, Wenming Zheng, Chunyan Xu, Jian Yang |
| 2018 | Spatio-Temporal Model for Wildlife Poaching Prediction Evaluated Through a Controlled Field Test in Uganda. Shahrzad Gholami |
| 2018 | Spatiotemporal Activity Modeling Under Data Scarcity: A Graph-Regularized Cross-Modal Embedding Approach. Chao Zhang, Mengxiong Liu, Zhengchao Liu, Carl Yang, Luming Zhang, Jiawei Han |
| 2018 | Spectral Word Embedding with Negative Sampling. Behrouz Haji Soleimani, Stan Matwin |
| 2018 | Splitting an LPMLN Program. Bin Wang, Zhizheng Zhang, Hongxiang Xu, Jun Shen |
| 2018 | SqueezedText: A Real-Time Scene Text Recognition by Binary Convolutional Encoder-Decoder Network. Zichuan Liu, Yixing Li, Fengbo Ren, Wang Ling Goh, Hao Yu |
| 2018 | Stack-Captioning: Coarse-to-Fine Learning for Image Captioning. Jiuxiang Gu, Jianfei Cai, Gang Wang, Tsuhan Chen |
| 2018 | StackReader: An RNN-Free Reading Comprehension Model. Yibo Jiang, Zhou Zhao |
| 2018 | Stackelberg Planning: Towards Effective Leader-Follower State Space Search. Patrick Speicher, Marcel Steinmetz, Michael Backes, Jörg Hoffmann, Robert Künnemann |
| 2018 | StarSpace: Embed All The Things! Ledell Yu Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes, Jason Weston |
| 2018 | State of the Art: Reproducibility in Artificial Intelligence. Odd Erik Gundersen, Sigbjørn Kjensmo |
| 2018 | Statistical Inference Using SGD. Tianyang Li, Liu Liu, Anastasios Kyrillidis, Constantine Caramanis |
| 2018 | Stochastic Non-Convex Ordinal Embedding With Stabilized Barzilai-Borwein Step Size. Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao |
| 2018 | Strategic Coalitions With Perfect Recall. Pavel Naumov, Jia Tao |
| 2018 | Strategic Coordination of Human Patrollers and Mobile Sensors With Signaling for Security Games. Haifeng Xu, Kai Wang, Phebe Vayanos, Milind Tambe |
| 2018 | Stream Reasoning in Temporal Datalog. Alessandro Ronca, Mark Kaminski, Bernardo Cuenca Grau, Boris Motik, Ian Horrocks |
| 2018 | Streaming Non-Monotone Submodular Maximization: Personalized Video Summarization on the Fly. Baharan Mirzasoleiman, Stefanie Jegelka, Andreas Krause |
| 2018 | Structural Deep Embedding for Hyper-Networks. Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu |
| 2018 | Style Transfer in Text: Exploration and Evaluation. Zhenxin Fu, Xiaoye Tan, Nanyun Peng, Dongyan Zhao, Rui Yan |
| 2018 | Subgraph Pattern Neural Networks for High-Order Graph Evolution Prediction. Changping Meng, S. Chandra Mouli, Bruno Ribeiro, Jennifer Neville |
| 2018 | Sublinear Search Spaces for Shortest Path Planning in Grid and Road Networks. Johannes Blum, Stefan Funke, Sabine Storandt |
| 2018 | Submodular Function Maximization Over Graphs via Zero-Suppressed Binary Decision Diagrams. Shinsaku Sakaue, Masaaki Nishino, Norihito Yasuda |
| 2018 | Substructure Assembling Network for Graph Classification. Xiaohan Zhao, Bo Zong, Ziyu Guan, Kai Zhang, Wei Zhao |
| 2018 | Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks. Antonio Vergari, Robert Peharz, Nicola Di Mauro, Alejandro Molina, Kristian Kersting, Floriana Esposito |
| 2018 | Supervised Deep Hashing for Hierarchical Labeled Data. Dan Wang, Heyan Huang, Chi Lu, Bo-Si Feng, Guihua Wen, Liqiang Nie, Xianling Mao |
| 2018 | Sweep-Based Propagation for String Constraint Solving. Roberto Amadini, Graeme Gange, Peter J. Stuckey |
| 2018 | Syntax-Directed Attention for Neural Machine Translation. Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao |
| 2018 | Synthesis of Orchestrations of Transducers for Manufacturing. Giuseppe De Giacomo, Moshe Y. Vardi, Paolo Felli, Natasha Alechina, Brian Logan |
| 2018 | Synthesis of Programs from Multimodal Datasets. Shantanu Thakoor, Simoni Shah, Ganesh Ramakrishnan, Amitabha Sanyal |
| 2018 | T-C3D: Temporal Convolutional 3D Network for Real-Time Action Recognition. Kun Liu, Wu Liu, Chuang Gan, Mingkui Tan, Huadong Ma |
| 2018 | TIMERS: Error-Bounded SVD Restart on Dynamic Networks. Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu |
| 2018 | Table-to-Text Generation by Structure-Aware Seq2seq Learning. Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui |
| 2018 | Table-to-Text: Describing Table Region With Natural Language. Junwei Bao, Duyu Tang, Nan Duan, Zhao Yan, Yuanhua Lv, Ming Zhou, Tiejun Zhao |
| 2018 | Tap and Shoot Segmentation. Ding-Jie Chen, Jui-Ting Chien, Hwann-Tzong Chen, Long-Wen Chang |
| 2018 | Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM. Yukun Ma, Haiyun Peng, Erik Cambria |
| 2018 | Task-Aware Compressed Sensing With Generative Adversarial Networks. Maya Kabkab, Pouya Samangouei, Rama Chellappa |
| 2018 | Task-Specific Representation Learning for Web-Scale Entity Disambiguation. Rijula Kar, Susmija Reddy, Sourangshu Bhattacharya, Anirban Dasgupta, Soumen Chakrabarti |
| 2018 | Tau-FPL: Tolerance-Constrained Learning in Linear Time. Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha |
| 2018 | Teaching a Machine to Read Maps With Deep Reinforcement Learning. Gino Brunner, Oliver Richter, Yuyi Wang, Roger Wattenhofer |
| 2018 | Telepath: Understanding Users from a Human Vision Perspective in Large-Scale Recommender Systems. Yu Wang, Jixing Xu, Aohan Wu, Mantian Li, Yang He, Jinghe Hu, Weipeng P. Yan |
| 2018 | Temporal-Difference Learning With Sampling Baseline for Image Captioning. Hui Chen, Guiguang Ding, Sicheng Zhao, Jungong Han |
| 2018 | Temporal-Enhanced Convolutional Network for Person Re-Identification. Yang Wu, Jie Qiu, Jun Takamatsu, Tsukasa Ogasawara |
| 2018 | Tensorized Projection for High-Dimensional Binary Embedding. Weixiang Hong, Jingjing Meng, Junsong Yuan |
| 2018 | The Complexity of Bribery in Network-Based Rating Systems. Umberto Grandi, James Stewart, Paolo Turrini |
| 2018 | The Conference Paper Assignment Problem: Using Order Weighted Averages to Assign Indivisible Goods. Jing Wu Lian, Nicholas Mattei, Renee Noble, Toby Walsh |
| 2018 | The Geometric Block Model. Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha |
| 2018 | The Role of Data-Driven Priors in Multi-Agent Crowd Trajectory Estimation. Gang Qiao, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic |
| 2018 | The Shape of Art History in the Eyes of the Machine. Ahmed Elgammal, Bingchen Liu, Diana Kim, Mohamed Elhoseiny, Marian Mazzone |
| 2018 | The Structural Affinity Method for Solving the Raven's Progressive Matrices Test for Intelligence. Snejana Shegheva, Ashok K. Goel |
| 2018 | Thinking in PolAR Pictures: Using Rotation-Friendly Mental Images to Solve Leiter-R Form Completion. Joshua H. Palmer, Maithilee Kunda |
| 2018 | TipMaster: A Knowledge Base of Authoritative Local News Sources on Social Media. Xin Shuai, Xiaomo Liu, Armineh Nourbakhsh, Sameena Shah, Tonya Custis |
| 2018 | Tool Auctions. Janosch Döcker, Britta Dorn, Ulle Endriss, Ronald de Haan, Sebastian Schneckenburger |
| 2018 | Top-Down Feedback for Crowd Counting Convolutional Neural Network. Deepak Babu Sam, R. Venkatesh Babu |
| 2018 | Topic Modeling on Health Journals With Regularized Variational Inference. Robert A. Giaquinto, Arindam Banerjee |
| 2018 | TorusE: Knowledge Graph Embedding on a Lie Group. Takuma Ebisu, Ryutaro Ichise |
| 2018 | Toward Deep Reinforcement Learning Without a Simulator: An Autonomous Steering Example. Bar Hilleli, Ran El-Yaniv |
| 2018 | Towards Affordable Semantic Searching: Zero-Shot Retrieval via Dominant Attributes. Yang Long, Li Liu, Yuming Shen, Ling Shao |
| 2018 | Towards Automatic Learning of Procedures From Web Instructional Videos. Luowei Zhou, Chenliang Xu, Jason J. Corso |
| 2018 | Towards Better Variational Encoder-Decoders in Seq2Seq Tasks. Xiaoyu Shen, Hui Su |
| 2018 | Towards Building Large Scale Multimodal Domain-Aware Conversation Systems. Amrita Saha, Mitesh M. Khapra, Karthik Sankaranarayanan |
| 2018 | Towards Efficient Detection of Overlapping Communities in Massive Networks. Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng |
| 2018 | Towards Experienced Anomaly Detector Through Reinforcement Learning. Chengqiang Huang, Yulei Wu, Yuan Zuo, Ke Pei, Geyong Min |
| 2018 | Towards Formal Definitions of Blameworthiness, Intention, and Moral Responsibility. Joseph Y. Halpern, Max Kleiman-Weiner |
| 2018 | Towards Generalization in QBF Solving via Machine Learning. Mikolás Janota |
| 2018 | Towards Imperceptible and Robust Adversarial Example Attacks Against Neural Networks. Bo Luo, Yannan Liu, Lingxiao Wei, Qiang Xu |
| 2018 | Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models. Zhao Meng, Lili Mou, Zhi Jin |
| 2018 | Towards Perceptual Image Dehazing by Physics-Based Disentanglement and Adversarial Training. Xitong Yang, Zheng Xu, Jiebo Luo |
| 2018 | Towards Training Probabilistic Topic Models on Neuromorphic Multi-Chip Systems. Zihao Xiao, Jianfei Chen, Jun Zhu |
| 2018 | Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin |
| 2018 | Towards a Neural Conversation Model With Diversity Net Using Determinantal Point Processes. Yiping Song, Rui Yan, Yansong Feng, Yaoyuan Zhang, Dongyan Zhao, Ming Zhang |
| 2018 | Towards a Unified Framework for Syntactic Inconsistency Measures. Glauber De Bona, John Grant, Anthony Hunter, Sébastien Konieczny |
| 2018 | Trace Ratio Optimization With Feature Correlation Mining for Multiclass Discriminant Analysis. Forough Rezaei Boroujeni, Sen Wang, Zhihui Li, Nicholas West, Bela Stantic, Lina Yao, Guodong Long |
| 2018 | Tracking Occluded Objects and Recovering Incomplete Trajectories by Reasoning About Containment Relations and Human Actions. Wei Liang, Yixin Zhu, Song-Chun Zhu |
| 2018 | Traffic Optimization for a Mixture of Self-Interested and Compliant Agents. Guni Sharon, Michael Albert, Tarun Rambha, Stephen D. Boyles, Peter Stone |
| 2018 | Training Autoencoders in Sparse Domain. Biswarup Bhattacharya, Arna Ghosh, Somnath Basu Roy Chowdhury |
| 2018 | Training CNNs With Normalized Kernels. Mete Özay, Takayuki Okatani |
| 2018 | Training Set Debugging Using Trusted Items. Xuezhou Zhang, Xiaojin Zhu, Stephen J. Wright |
| 2018 | Training and Evaluating Improved Dependency-Based Word Embeddings. Chen Li, Jianxin Li, Yangqiu Song, Ziwei Lin |
| 2018 | Transfer Adversarial Hashing for Hamming Space Retrieval. Zhangjie Cao, Mingsheng Long, Chao Huang, Jianmin Wang |
| 2018 | Transferable Contextual Bandit for Cross-Domain Recommendation. Bo Liu, Ying Wei, Yu Zhang, Zhixian Yan, Qiang Yang |
| 2018 | Transferable Semi-Supervised Semantic Segmentation. Huaxin Xiao, Yunchao Wei, Yu Liu, Maojun Zhang, Jiashi Feng |
| 2018 | Transferring Decomposed Tensors for Scalable Energy Breakdown Across Regions. Nipun Batra, Yiling Jia, Hongning Wang, Kamin Whitehouse |
| 2018 | Translating Pro-Drop Languages With Reconstruction Models. Longyue Wang, Zhaopeng Tu, Shuming Shi, Tong Zhang, Yvette Graham, Qun Liu |
| 2018 | Tree-Structured Neural Machine for Linguistics-Aware Sentence Generation. Ganbin Zhou, Ping Luo, Rongyu Cao, Yijun Xiao, Fen Lin, Bo Chen, Qing He |
| 2018 | Truthful and Near-Optimal Mechanisms for Welfare Maximization in Multi-Winner Elections. Umang Bhaskar, Varsha Dani, Abheek Ghosh |
| 2018 | Twitter Summarization Based on Social Network and Sparse Reconstruction. Ruifang He, Xingyi Duan |
| 2018 | Two Knowledge-based Methods for High-Performance Sense Distribution Learning. Tommaso Pasini, Roberto Navigli |
| 2018 | UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss. Simon Meister, Junhwa Hur, Stefan Roth |
| 2018 | Uncovering Scene Context for Predicting Privacy of Online Shared Images. Ashwini Tonge, Cornelia Caragea, Anna Cinzia Squicciarini |
| 2018 | Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process. Haosheng Zou, Hang Su, Shihong Song, Jun Zhu |
| 2018 | Understanding Image Impressiveness Inspired by Instantaneous Human Perceptual Cues. Jufeng Yang, Yan Sun, Jie Liang, Yong-Liang Yang, Ming-Ming Cheng |
| 2018 | Understanding Over Participation in Simple Contests. Priel Levy, David Sarne |
| 2018 | Understanding Social Interpersonal Interaction via Synchronization Templates of Facial Events. Rui Li, Jared Curhan, Mohammed (Ehsan) Hoque |
| 2018 | Unified Locally Linear Classifiers With Diversity-Promoting Anchor Points. Chenghao Liu, Teng Zhang, Peilin Zhao, Jianling Sun, Steven C. H. Hoi |
| 2018 | Unified Spectral Clustering With Optimal Graph. Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu |
| 2018 | Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization. Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma |
| 2018 | Unravelling Robustness of Deep Learning Based Face Recognition Against Adversarial Attacks. Gaurav Goswami, Nalini K. Ratha, Akshay Agarwal, Richa Singh, Mayank Vatsa |
| 2018 | Unsupervised Articulated Skeleton Extraction From Point Set Sequences Captured by a Single Depth Camera. Xuequan Lu, Honghua Chen, Sai-Kit Yeung, Zhigang Deng, Wenzhi Chen |
| 2018 | Unsupervised Deep Learning of Mid-Level Video Representation for Action Recognition. Jingyi Hou, Xinxiao Wu, Jin Chen, Jiebo Luo, Yunde Jia |
| 2018 | Unsupervised Domain Adaptation With Distribution Matching Machines. Yue Cao, Mingsheng Long, Jianmin Wang |
| 2018 | Unsupervised Generative Adversarial Cross-Modal Hashing. Jian Zhang, Yuxin Peng, Mingkuan Yuan |
| 2018 | Unsupervised Learning of Geometry From Videos With Edge-Aware Depth-Normal Consistency. Zhenheng Yang, Peng Wang, Wei Xu, Liang Zhao, Ramakant Nevatia |
| 2018 | Unsupervised Part-Based Weighting Aggregation of Deep Convolutional Features for Image Retrieval. Jian Xu, Cunzhao Shi, Cheng-Zuo Qi, Chunheng Wang, Baihua Xiao |
| 2018 | Unsupervised Personalized Feature Selection. Jundong Li, Liang Wu, Harsh Dani, Huan Liu |
| 2018 | Unsupervised Representation Learning With Long-Term Dynamics for Skeleton Based Action Recognition. Nenggan Zheng, Jun Wen, Risheng Liu, Liangqu Long, Jianhua Dai, Zhefeng Gong |
| 2018 | Unsupervised Selection of Negative Examples for Grounded Language Learning. Nisha Pillai, Cynthia Matuszek |
| 2018 | Uplink Communication Efficient Differentially Private Sparse Optimization With Feature-Wise Distributed Data. Jian Lou, Yiu-ming Cheung |
| 2018 | Upping the Game of Taxi Driving in the Age of Uber. Shashi Shekhar Jha, Shih-Fen Cheng, Meghna Lowalekar, Nicholas Wong, Rishikeshan Rajendram, Trong Khiem Tran, Pradeep Varakantham, Trong Nghia Truong, Firmansyah Bin Abd Rahman |
| 2018 | Urban Dreams of Migrants: A Case Study of Migrant Integration in Shanghai. Yang Yang, Chenhao Tan, Zongtao Liu, Fei Wu, Yueting Zhuang |
| 2018 | Using Syntax to Ground Referring Expressions in Natural Images. Volkan Cirik, Taylor Berg-Kirkpatrick, Louis-Philippe Morency |
| 2018 | Using k-Way Co-Occurrences for Learning Word Embeddings. Danushka Bollegala, Yuichi Yoshida, Ken-ichi Kawarabayashi |
| 2018 | Utilitarians Without Utilities: Maximizing Social Welfare for Graph Problems Using Only Ordinal Preferences. Ben Abramowitz, Elliot Anshelevich |
| 2018 | VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling. Guibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang |
| 2018 | Variance Reduced K-Means Clustering. Yawei Zhao, Yuewei Ming, Xinwang Liu, En Zhu, Jianping Yin |
| 2018 | Variational BOLT: Approximate Learning in Factorial Hidden Markov Models With Application to Energy Disaggregation. Henning Lange, Mario Berges |
| 2018 | Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks. Zuozhu Liu, Tony Q. S. Quek, Shaowei Lin |
| 2018 | Variational Reasoning for Question Answering With Knowledge Graph. Yuyu Zhang, Hanjun Dai, Zornitsa Kozareva, Alexander J. Smola, Le Song |
| 2018 | Variational Recurrent Neural Machine Translation. Jinsong Su, Shan Wu, Deyi Xiong, Yaojie Lu, Xianpei Han, Biao Zhang |
| 2018 | Verifying Properties of Binarized Deep Neural Networks. Nina Narodytska, Shiva Prasad Kasiviswanathan, Leonid Ryzhyk, Mooly Sagiv, Toby Walsh |
| 2018 | Vertical Domain Text Classification: Towards Understanding IT Tickets Using Deep Neural Networks. Jianglei Han, Mohammad Akbari |
| 2018 | Video Generation From Text. Yitong Li, Martin Renqiang Min, Dinghan Shen, David E. Carlson, Lawrence Carin |
| 2018 | Video Summarization via Semantic Attended Networks. Huawei Wei, Bingbing Ni, Yichao Yan, Huanyu Yu, Xiaokang Yang, Chen Yao |
| 2018 | Video-Based Person Re-Identification via Self Paced Weighting. Wenjun Huang, Chao Liang, Yi Yu, Zheng Wang, Weijian Ruan, Ruimin Hu |
| 2018 | Video-Based Sign Language Recognition Without Temporal Segmentation. Jie Huang, Wengang Zhou, Qilin Zhang, Houqiang Li, Weiping Li |
| 2018 | Visual Explanation by High-Level Abduction: On Answer-Set Programming Driven Reasoning About Moving Objects. Jakob Suchan, Mehul Bhatt, Przemyslaw Andrzej Walega, Carl Schultz |
| 2018 | Visual Recognition in Very Low-Quality Settings: Delving Into the Power of Pre-Training. Bowen Cheng, Ding Liu, Zhangyang Wang, Haichao Zhang, Thomas S. Huang |
| 2018 | Visual Relationship Detection With Deep Structural Ranking. Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen |
| 2018 | VoC-DL: Revisiting Voice Of Customer Using Deep Learning. Susheel Suresh, Guru Rajan T. S, Vipin Gopinath |
| 2018 | WalkRanker: A Unified Pairwise Ranking Model With Multiple Relations for Item Recommendation. Lu Yu, Chuxu Zhang, Shichao Pei, Guolei Sun, Xiangliang Zhang |
| 2018 | Warmstarting of Model-Based Algorithm Configuration. Marius Lindauer, Frank Hutter |
| 2018 | Wasserstein Distance Guided Representation Learning for Domain Adaptation. Jian Shen, Yanru Qu, Weinan Zhang, Yong Yu |
| 2018 | Water Advisor - A Data-Driven, Multi-Modal, Contextual Assistant to Help With Water Usage Decisions. Jason B. Ellis, Biplav Srivastava, Rachel K. E. Bellamy, Andy Aaron |
| 2018 | Weakly Supervised Collective Feature Learning From Curated Media. Yusuke Mukuta, Akisato Kimura, David B. Adrian, Zoubin Ghahramani |
| 2018 | Weakly Supervised Induction of Affective Events by Optimizing Semantic Consistency. Haibo Ding, Ellen Riloff |
| 2018 | Weakly Supervised Salient Object Detection Using Image Labels. Guanbin Li, Yuan Xie, Liang Lin |
| 2018 | Weighted Abstract Dialectical Frameworks. Gerhard Brewka, Hannes Strass, Johannes P. Wallner, Stefan Woltran |
| 2018 | Weighted Multi-View Spectral Clustering Based on Spectral Perturbation. Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu |
| 2018 | Weighted Voting Via No-Regret Learning. Nika Haghtalab, Ritesh Noothigattu, Ariel D. Procaccia |
| 2018 | When Social Advertising Meets Viral Marketing: Sequencing Social Advertisements for Influence Maximization. Shaojie Tang |
| 2018 | When Waiting Is Not an Option: Learning Options With a Deliberation Cost. Jean Harb, Pierre-Luc Bacon, Martin Klissarov, Doina Precup |
| 2018 | When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks. Dong Wang, Junbo Zhang, Wei Cao, Jian Li, Yu Zheng |
| 2018 | Who Said What: Modeling Individual Labelers Improves Classification. Melody Y. Guan, Varun Gulshan, Andrew M. Dai, Geoffrey E. Hinton |
| 2018 | WiFi-Based Human Identification via Convex Tensor Shapelet Learning. Han Zou, Yuxun Zhou, Jianfei Yang, Weixi Gu, Lihua Xie, Costas J. Spanos |
| 2018 | Word Attention for Sequence to Sequence Text Understanding. Lijun Wu, Fei Tian, Li Zhao, Jianhuang Lai, Tie-Yan Liu |
| 2018 | Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering. Aghiles Salah, Melissa Ailem, Mohamed Nadif |
| 2018 | Zero-Resource Neural Machine Translation with Multi-Agent Communication Game. Yun Chen, Yang Liu, Victor O. K. Li |
| 2018 | Zero-Shot Learning With Attribute Selection. Yuchen Guo, Guiguang Ding, Jungong Han, Sheng Tang |
| 2018 | Zero-Shot Learning via Class-Conditioned Deep Generative Models. Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin |
| 2018 | cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information. Shaosheng Cao, Wei Lu, Jun Zhou, Xiaolong Li |
| 2018 | gOCCF: Graph-Theoretic One-Class Collaborative Filtering Based on Uninteresting Items. Yeon-Chang Lee, Sang-Wook Kim, Dongwon Lee |
| 2018 | r-BTN: Cross-Domain Face Composite and Synthesis From Limited Facial Patches. Yang Song, Zhifei Zhang, Hairong Qi |
| 2018 | totSAT - Totally-Ordered Hierarchical Planning Through SAT. Gregor Behnke, Daniel Höller, Susanne Biundo |