| 2018 | "Chitty-Chitty-Chat Bot": Deep Learning for Conversational AI. Rui Yan |
| 2018 | 3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces. Liang Yang, Yuanfang Guo, Di Jin, Huazhu Fu, Xiaochun Cao |
| 2018 | 3D-Aided Deep Pose-Invariant Face Recognition. Jian Zhao, Lin Xiong, Yu Cheng, Yi Cheng, Jianshu Li, Li Zhou, Yan Xu, Jayashree Karlekar, Sugiri Pranata, Shengmei Shen, Junliang Xing, Shuicheng Yan, Jiashi Feng |
| 2018 | 3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations. Zhihua Wang, Stefano Rosa, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham |
| 2018 | A Bayesian Latent Variable Model of User Preferences with Item Context. Aghiles Salah, Hady W. Lauw |
| 2018 | A Brand-level Ranking System with the Customized Attention-GRU Model. Yu Zhu, Junxiong Zhu, Jie Hou, Yongliang Li, Beidou Wang, Ziyu Guan, Deng Cai |
| 2018 | A COP Model for Graph-Constrained Coalition Formation (Extended Abstract). Filippo Bistaffa, Alessandro Farinelli |
| 2018 | A Cloaking Mechanism to Mitigate Market Manipulation. Xintong Wang, Yevgeniy Vorobeychik, Michael P. Wellman |
| 2018 | A Comparative Study of Transactional and Semantic Approaches for Predicting Cascades on Twitter. Yunwei Zhao, Can Wang, Chi-Hung Chi, Kwok-Yan Lam, Sen Wang |
| 2018 | A Conversational Approach to Process-oriented Case-based Reasoning. Christian Zeyen, Gilbert Müller, Ralph Bergmann |
| 2018 | A Decentralised Approach to Intersection Traffic Management. Huan Vu, Samir Aknine, Sarvapali D. Ramchurn |
| 2018 | A Deep Framework for Cross-Domain and Cross-System Recommendations. Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet A. Orgun, Jia Wu |
| 2018 | A Deep Modular RNN Approach for Ethos Mining. Rory Duthie, Katarzyna Budzynska |
| 2018 | A Degeneracy Framework for Graph Similarity. Giannis Nikolentzos, Polykarpos Meladianos, Stratis Limnios, Michalis Vazirgiannis |
| 2018 | A Fast Algorithm for Generalized Arc Consistency of the Alldifferent Constraint. Xizhe Zhang, Qian Li, Weixiong Zhang |
| 2018 | A Fast Algorithm for Optimally Finding Partially Disjoint Shortest Paths. Longkun Guo, Yunyun Deng, Kewen Liao, Qiang He, Timos Sellis, Zheshan Hu |
| 2018 | A Fast Local Search Algorithm for Minimum Weight Dominating Set Problem on Massive Graphs. Yiyuan Wang, Shaowei Cai, Jiejiang Chen, Minghao Yin |
| 2018 | A Fast and Accurate Method for Estimating People Flow from Spatiotemporal Population Data. Yasunori Akagi, Takuya Nishimura, Takeshi Kurashima, Hiroyuki Toda |
| 2018 | A Framework for Constraint Based Local Search using Essence. Özgür Akgün, Saad Attieh, Ian P. Gent, Christopher Jefferson, Ian Miguel, Peter Nightingale, András Z. Salamon, Patrick Spracklen, James Wetter |
| 2018 | A General Approach to Running Time Analysis of Multi-objective Evolutionary Algorithms. Chao Bian, Chao Qian, Ke Tang |
| 2018 | A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization. Xiaotian Yu, Irwin King, Michael R. Lyu, Tianbao Yang |
| 2018 | A Genetic Programming Approach to Designing Convolutional Neural Network Architectures. Masanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao |
| 2018 | A Graphical Criterion for Effect Identification in Equivalence Classes of Causal Diagrams. Amin Jaber, Jiji Zhang, Elias Bareinboim |
| 2018 | A Group-based Approach to Improve Multifactorial Evolutionary Algorithm. Jing Tang, Yingke Chen, Zixuan Deng, Yanping Xiang, Colin Paul Joy |
| 2018 | A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification. Shuming Ma, Xu Sun, Junyang Lin, Xuancheng Ren |
| 2018 | A Joint Learning Approach to Intelligent Job Interview Assessment. Dazhong Shen, Hengshu Zhu, Chen Zhu, Tong Xu, Chao Ma, Hui Xiong |
| 2018 | A Local Algorithm for Product Return Prediction in E-Commerce. Yada Zhu, Jianbo Li, Jingrui He, Brian Leo Quanz, Ajay A. Deshpande |
| 2018 | A Model of Distributed Query Computation in Client-Server Scenarios on the Semantic Web. Olaf Hartig, Ian Letter, Jorge Pérez |
| 2018 | A Multi-task Learning Approach for Image Captioning. Wei Zhao, Benyou Wang, Jianbo Ye, Min Yang, Zhou Zhao, Ruotian Luo, Yu Qiao |
| 2018 | A Non-Parametric Generative Model for Human Trajectories. Kun Ouyang, Reza Shokri, David S. Rosenblum, Wenzhuo Yang |
| 2018 | A Normalized Convolutional Neural Network for Guided Sparse Depth Upsampling. Jiashen Hua, Xiaojin Gong |
| 2018 | A Novel Data Representation for Effective Learning in Class Imbalanced Scenarios. Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu |
| 2018 | A Novel Neural Network Model based on Cerebral Hemispheric Asymmetry for EEG Emotion Recognition. Yang Li, Wenming Zheng, Zhen Cui, Tong Zhang, Yuan Zong |
| 2018 | A Novel Strategy for Active Task Assignment in Crowd Labeling. Zehong Hu, Jie Zhang |
| 2018 | A Property Testing Framework for the Theoretical Expressivity of Graph Kernels. Nils M. Kriege, Christopher Morris, Anja Rey, Christian Sohler |
| 2018 | A Question Type Driven Framework to Diversify Visual Question Generation. Zhihao Fan, Zhongyu Wei, Piji Li, Yanyan Lan, Xuanjing Huang |
| 2018 | A Reactive Strategy for High-Level Consistency During Search. Robert J. Woodward, Berthe Y. Choueiry, Christian Bessiere |
| 2018 | A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization. Li Wang, Junlin Yao, Yunzhe Tao, Li Zhong, Wei Liu, Qiang Du |
| 2018 | A Savage-style Utility Theory for Belief Functions. Chunlai Zhou, Biao Qin, Xiaoyong Du |
| 2018 | A Scalable Scheme for Counting Linear Extensions. Topi Talvitie, Kustaa Kangas, Teppo Mikael Niinimäki, Mikko Koivisto |
| 2018 | A Simple Convolutional Neural Network for Accurate P300 Detection and Character Spelling in Brain Computer Interface. Hongchang Shan, Yu Liu, Todor P. Stefanov |
| 2018 | A Social Interaction Activity based Time-Varying User Vectorization Method for Online Social Networks. Tianyi Hao, Longbo Huang |
| 2018 | A Structural Approach to Activity Selection. Eduard Eiben, Robert Ganian, Sebastian Ordyniak |
| 2018 | A Study of Argumentative Characterisations of Preferred Subtheories. Marcello D'Agostino, Sanjay Modgil |
| 2018 | A Symbolic Approach to Explaining Bayesian Network Classifiers. Andy Shih, Arthur Choi, Adnan Darwiche |
| 2018 | A Unified Analysis of Stochastic Momentum Methods for Deep Learning. Yan Yan, Tianbao Yang, Zhe Li, Qihang Lin, Yi Yang |
| 2018 | A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning. Long Yang, Minhao Shi, Qian Zheng, Wenjia Meng, Gang Pan |
| 2018 | A Unifying View of Geometry, Semantics, and Data Association in SLAM. Nikolay Atanasov, Sean L. Bowman, Kostas Daniilidis, George J. Pappas |
| 2018 | A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation. David L. Smyth, James Fennell, Sai Abinesh, Nazli B. Karimi, Frank G. Glavin, Ihsan Ullah, Brett Drury, Michael G. Madden |
| 2018 | A Weakly Supervised Method for Topic Segmentation and Labeling in Goal-oriented Dialogues via Reinforcement Learning. Ryuichi Takanobu, Minlie Huang, Zhongzhou Zhao, Feng-Lin Li, Haiqing Chen, Xiaoyan Zhu, Liqiang Nie |
| 2018 | A Wearable Device for Online and Long-Term ECG Monitoring. Marco Longoni, Diego Carrera, Beatrice Rossi, Pasqualina Fragneto, Marco Pessione, Giacomo Boracchi |
| 2018 | AAR-CNNs: Auto Adaptive Regularized Convolutional Neural Networks. Yao Lu, Guangming Lu, Yuanrong Xu, Bob Zhang |
| 2018 | ACV-tree: A New Method for Sentence Similarity Modeling. Yuquan Le, Zhi-Jie Wang, Zhe Quan, Jiawei He, Bin Yao |
| 2018 | AGI Safety Literature Review. Tom Everitt, Gary Lea, Marcus Hutter |
| 2018 | AI for Conservation: Aerial Monitoring to Learn and Plan against Illegal Actors. Elizabeth Bondi |
| 2018 | ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks. Zhen Peng, Minnan Luo, Jundong Li, Huan Liu, Qinghua Zheng |
| 2018 | ANRL: Attributed Network Representation Learning via Deep Neural Networks. Zhen Zhang, Hongxia Yang, Jiajun Bu, Sheng Zhou, Pinggang Yu, Jianwei Zhang, Martin Ester, Can Wang |
| 2018 | A^3NCF: An Adaptive Aspect Attention Model for Rating Prediction. Zhiyong Cheng, Ying Ding, Xiangnan He, Lei Zhu, Xuemeng Song, Mohan S. Kankanhalli |
| 2018 | Abducing Relations in Continuous Spaces. Taisuke Sato, Katsumi Inoue, Chiaki Sakama |
| 2018 | Abstraction of Agents Executing Online and their Abilities in the Situation Calculus. Bita Banihashemi, Giuseppe De Giacomo, Yves Lespérance |
| 2018 | Accelerated Asynchronous Greedy Coordinate Descent Algorithm for SVMs. Bin Gu, Yingying Shan, Xiang Geng, Guansheng Zheng |
| 2018 | Accelerated Difference of Convex functions Algorithm and its Application to Sparse Binary Logistic Regression. Phan Duy Nhat, Hoai Minh Le, Hoai An Le Thi |
| 2018 | Accelerating Convolutional Networks via Global & Dynamic Filter Pruning. Shaohui Lin, Rongrong Ji, Yuchao Li, Yongjian Wu, Feiyue Huang, Baochang Zhang |
| 2018 | Accelerating Innovation Through Analogy Mining. Tom Hope, Joel Chan, Aniket Kittur, Dafna Shahaf |
| 2018 | Accountable Approval Sorting. Khaled Belahcène, Yann Chevaleyre, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane |
| 2018 | Achieving Non-Discrimination in Prediction. Lu Zhang, Yongkai Wu, Xintao Wu |
| 2018 | Active Discriminative Network Representation Learning. Li Gao, Hong Yang, Chuan Zhou, Jia Wu, Shirui Pan, Yue Hu |
| 2018 | Active Object Reconstruction Using a Guided View Planner. Xin Yang, Yuanbo Wang, Yaru Wang, Baocai Yin, Qiang Zhang, Xiaopeng Wei, Hongbo Fu |
| 2018 | Active Recurrence of Lighting Condition for Fine-Grained Change Detection. Qian Zhang, Wei Feng, Liang Wan, Fei-Peng Tian, Ping Tan |
| 2018 | Actual Causality in a Logical Setting. Alexander Bochman |
| 2018 | Adaboost with Auto-Evaluation for Conversational Models. Juncen Li, Ping Luo, Ganbin Zhou, Fen Lin, Cheng Niu |
| 2018 | Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection. Xiao Dong, Lei Zhu, Xuemeng Song, Jingjing Li, Zhiyong Cheng |
| 2018 | Adaptive Graph Guided Embedding for Multi-label Annotation. Lichen Wang, Zhengming Ding, Yun Fu |
| 2018 | Admissible Abstractions for Near-optimal Task and Motion Planning. William Vega-Brown, Nicholas Roy |
| 2018 | Advancements in Dueling Bandits. Yanan Sui, Masrour Zoghi, Katja Hofmann, Yisong Yue |
| 2018 | Advances and Challenges in Privacy Preserving Planning. Guy Shani |
| 2018 | Adversarial Active Learning for Sequences Labeling and Generation. Yue Deng, KaWai Chen, Yilin Shen, Hongxia Jin |
| 2018 | Adversarial Attribute-Image Person Re-identification. Zhou Yin, Wei-Shi Zheng, Ancong Wu, Hong-Xing Yu, Hai Wan, Xiaowei Guo, Feiyue Huang, Jianhuang Lai |
| 2018 | Adversarial Constraint Learning for Structured Prediction. Hongyu Ren, Russell Stewart, Jiaming Song, Volodymyr Kuleshov, Stefano Ermon |
| 2018 | Adversarial Metric Learning. Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li |
| 2018 | Adversarial Regression for Detecting Attacks in Cyber-Physical Systems. Amin Ghafouri, Yevgeniy Vorobeychik, Xenofon D. Koutsoukos |
| 2018 | Adversarial Task Assignment. Chen Hajaj, Yevgeniy Vorobeychik |
| 2018 | Adversarially Regularized Graph Autoencoder for Graph Embedding. Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang |
| 2018 | Aesop: A Visual Storytelling Platform for Conversational AI. Tim Meo, Aswin Raghavan, David A. Salter, Alex Tozzo, Amir Tamrakar, Mohamed R. Amer |
| 2018 | Affective Image Content Analysis: A Comprehensive Survey. Sicheng Zhao, Guiguang Ding, Qingming Huang, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer |
| 2018 | Age Estimation Using Expectation of Label Distribution Learning. Bin-Bin Gao, Hong-Yu Zhou, Jianxin Wu, Xin Geng |
| 2018 | Algorithmic Social Intervention. Bryan Wilder |
| 2018 | Algorithms for Fair Load Shedding in Developing Countries. Olabambo I. Oluwasuji, Obaid Malik, Jie Zhang, Sarvapali D. Ramchurn |
| 2018 | Algorithms for the Nearest Assignment Problem. Sara Rouhani, Tahrima Rahman, Vibhav Gogate |
| 2018 | Algorithms or Actions? A Study in Large-Scale Reinforcement Learning. Anderson Rocha Tavares, Sivasubramanian Anbalagan, Leandro Soriano Marcolino, Luiz Chaimowicz |
| 2018 | Alternating-time Temporal Logic on Finite Traces. Francesco Belardinelli, Alessio Lomuscio, Aniello Murano, Sasha Rubin |
| 2018 | An Adaptive Hierarchical Compositional Model for Phrase Embedding. Bing Li, Xiaochun Yang, Bin Wang, Wei Wang, Wei Cui, Xianchao Zhang |
| 2018 | An Analytical and Experimental Comparison of Maximal Lottery Schemes. Florian Brandl, Felix Brandt, Christian Stricker |
| 2018 | An Appearance-and-Structure Fusion Network for Object Viewpoint Estimation. Yueying Kao, Weiming Li, Zairan Wang, Dongqing Zou, Ran He, Qiang Wang, Minsu Ahn, Sunghoon Hong |
| 2018 | An Axiomatic View of the Parimutuel Consensus Mechanism. Rupert Freeman, David M. Pennock |
| 2018 | An Efficient Algorithm To Compute Distance Between Lexicographic Preference Trees. Minyi Li, Borhan Kazimipour |
| 2018 | An Efficient Minibatch Acceptance Test for Metropolis-Hastings. Daniel Seita, Xinlei Pan, Haoyu Chen, John F. Canny |
| 2018 | An Empirical Study of Branching Heuristics through the Lens of Global Learning Rate. Jia Liang, Hari Govind V. K., Pascal Poupart, Krzysztof Czarnecki, Vijay Ganesh |
| 2018 | An Empirical Study of Knowledge Tradeoffs in Case-Based Reasoning. Devi Ganesan, Sutanu Chakraborti |
| 2018 | An Encoder-Decoder Framework Translating Natural Language to Database Queries. Ruichu Cai, Boyan Xu, Zhenjie Zhang, Xiaoyan Yang, Zijian Li, Zhihao Liang |
| 2018 | An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems. Yiping Song, Cheng-Te Li, Jian-Yun Nie, Ming Zhang, Dongyan Zhao, Rui Yan |
| 2018 | An Exact Algorithm for Maximum k-Plexes in Massive Graphs. Jian Gao, Jiejiang Chen, Minghao Yin, Rong Chen, Yiyuan Wang |
| 2018 | An FPTAS for Computing Nash Equilibrium in Resource Graph Games. Hau Chan, Albert Xin Jiang |
| 2018 | An Information Theory based Approach to Multisource Clustering. Pierre-Alexandre Murena, Jérémie Sublime, Basarab Matei, Antoine Cornuéjols |
| 2018 | An Operational Semantics for a Fragment of PRS. Lavindra de Silva, Felipe Meneguzzi, Brian Logan |
| 2018 | Analyzing Tie-Breaking Strategies for the A* Algorithm. Augusto B. Corrêa, André Grahl Pereira, Marcus Ritt |
| 2018 | Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters. Zheng Wu, Ruiheng Chang, Jiaxu Ma, Cewu Lu, Chi-Keung Tang |
| 2018 | Anonymizing k Facial Attributes via Adversarial Perturbations. Saheb Chhabra, Richa Singh, Mayank Vatsa, Gaurav Gupta |
| 2018 | Answering Mixed Type Questions about Daily Living Episodes. Taiki Miyanishi, Junichiro Hirayama, Atsunori Kanemura, Motoaki Kawanabe |
| 2018 | Anytime Focal Search with Applications. Liron Cohen, Matias Greco, Hang Ma, Carlos Hernández, Ariel Felner, T. K. Satish Kumar, Sven Koenig |
| 2018 | Approval-Based Multi-Winner Rules and Strategic Voting. Martin Lackner, Piotr Skowron |
| 2018 | Approximating Word Ranking and Negative Sampling for Word Embedding. Guibing Guo, Shichang Ouyang, Fajie Yuan, Xingwei Wang |
| 2018 | Approximation Guarantees of Stochastic Greedy Algorithms for Subset Selection. Chao Qian, Yang Yu, Ke Tang |
| 2018 | Argumentation-Based Recommendations: Fantastic Explanations and How to Find Them. Antonio Rago, Oana Cocarascu, Francesca Toni |
| 2018 | Artificial Argumentation for Humans. Serena Villata |
| 2018 | Artificial Intelligence Conferences Closeness. Sébastien Konieczny, Emmanuel Lonca |
| 2018 | Aspect Sentiment Classification with both Word-level and Clause-level Attention Networks. Jingjing Wang, Jie Li, Shoushan Li, Yangyang Kang, Min Zhang, Luo Si, Guodong Zhou |
| 2018 | Aspect Term Extraction with History Attention and Selective Transformation. Xin Li, Lidong Bing, Piji Li, Wai Lam, Zhimou Yang |
| 2018 | Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks. Xiaotian Han, Chuan Shi, Senzhang Wang, Philip S. Yu, Li Song |
| 2018 | Assigning Personality/Profile to a Chatting Machine for Coherent Conversation Generation. Qiao Qian, Minlie Huang, Haizhou Zhao, Jingfang Xu, Xiaoyan Zhu |
| 2018 | Attention-Fused Deep Matching Network for Natural Language Inference. Chaoqun Duan, Lei Cui, Xinchi Chen, Furu Wei, Conghui Zhu, Tiejun Zhao |
| 2018 | Attentional Image Retweet Modeling via Multi-Faceted Ranking Network Learning. Zhou Zhao, Lingtao Meng, Jun Xiao, Min Yang, Fei Wu, Deng Cai, Xiaofei He, Yueting Zhuang |
| 2018 | Attributed Description Logics: Reasoning on Knowledge Graphs. Markus Krötzsch, Maximilian Marx, Ana Ozaki, Veronika Thost |
| 2018 | Automata-Theoretic Foundations of FOND Planning for LTLf and LDLf Goals. Giuseppe De Giacomo, Sasha Rubin |
| 2018 | Automated Reasoning for City Infrastructure Maintenance Decision Support. Lijun Wei, Derek R. Magee, Vania Dimitrova, Barry Clarke, Heshan Du, Quratul-ain Mahesar, Kareem Al Ammari, Anthony G. Cohn |
| 2018 | Automatic Gating of Attributes in Deep Structure. Xiaoming Jin, Tao He, Cheng Wan, Lan Yi, Guiguang Ding, Dou Shen |
| 2018 | Automatic Opioid User Detection from Twitter: Transductive Ensemble Built on Different Meta-graph Based Similarities over Heterogeneous Information Network. Yujie Fan, Yiming Zhang, Yanfang Ye, Xin Li |
| 2018 | Autonomously Reusing Knowledge in Multiagent Reinforcement Learning. Felipe Leno da Silva, Matthew E. Taylor, Anna Helena Reali Costa |
| 2018 | Axiomatization of the PageRank Centrality. Tomasz Was, Oskar Skibski |
| 2018 | Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari. Patryk Chrabaszcz, Ilya Loshchilov, Frank Hutter |
| 2018 | Balanced News Using Constrained Bandit-based Personalization. Sayash Kapoor, Vijay Keswani, Nisheeth K. Vishnoi, L. Elisa Celis |
| 2018 | Balancing Two-Player Stochastic Games with Soft Q-Learning. Jordi Grau-Moya, Felix Leibfried, Haitham Bou-Ammar |
| 2018 | Bandit Online Learning on Graphs via Adaptive Optimization. Peng Yang, Peilin Zhao, Xin Gao |
| 2018 | Bayesian Active Edge Evaluation on Expensive Graphs. Sanjiban Choudhury, Siddhartha S. Srinivasa, Sebastian A. Scherer |
| 2018 | Behavior of Analogical Inference w.r.t. Boolean Functions. Miguel Couceiro, Nicolas Hug, Henri Prade, Gilles Richard |
| 2018 | Behavioral Cloning from Observation. Faraz Torabi, Garrett Warnell, Peter Stone |
| 2018 | Belief Update in the Horn Fragment. Nadia Creignou, Adrian Haret, Odile Papini, Stefan Woltran |
| 2018 | Best-Case and Worst-Case Behavior of Greedy Best-First Search. Manuel Heusner, Thomas Keller, Malte Helmert |
| 2018 | Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification. Chenrui Zhang, Yuxin Peng |
| 2018 | Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention. Ling Luo, Xiang Ao, Feiyang Pan, Jin Wang, Tong Zhao, Ningzi Yu, Qing He |
| 2018 | Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning. Pengfei Zhu, Ren Qi, Qinghua Hu, Qilong Wang, Changqing Zhang, Liu Yang |
| 2018 | Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback. Kun Chen, Kechao Cai, Longbo Huang, John C. S. Lui |
| 2018 | Biased Random Walk based Social Regularization for Word Embeddings. Ziqian Zeng, Xin Liu, Yangqiu Song |
| 2018 | Bidding in Periodic Double Auctions Using Heuristics and Dynamic Monte Carlo Tree Search. Moinul Morshed Porag Chowdhury, Christopher Kiekintveld, Son Tran, William Yeoh |
| 2018 | Big City vs. the Great Outdoors: Voter Distribution and How It Affects Gerrymandering. Allan Borodin, Omer Lev, Nisarg Shah, Tyrone Strangway |
| 2018 | Biharmonic Distance Related Centrality for Edges in Weighted Networks. Yuhao Yi, Liren Shan, Huan Li, Zhongzhi Zhang |
| 2018 | Binary Coding based Label Distribution Learning. Ke Wang, Xin Geng |
| 2018 | Boosting Combinatorial Problem Modeling with Machine Learning. Michele Lombardi, Michela Milano |
| 2018 | Boosting MCSes Enumeration. Éric Grégoire, Yacine Izza, Jean-Marie Lagniez |
| 2018 | Bootstrapping Entity Alignment with Knowledge Graph Embedding. Zequn Sun, Wei Hu, Qingheng Zhang, Yuzhong Qu |
| 2018 | Brain-inspired Balanced Tuning for Spiking Neural Networks. Tielin Zhang, Yi Zeng, Dongcheng Zhao, Bo Xu |
| 2018 | Bridging the Gap Between Theory and Practice in Influence Maximization: Raising Awareness about HIV among Homeless Youth. Amulya Yadav, Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Mary Hemler, Laura Onasch-Vera, Milind Tambe, Darlene Woo |
| 2018 | Bringing Multi-agent Path Finding Closer to Reality. Jirí Svancara |
| 2018 | Budget-feasible Procurement Mechanisms in Two-sided Markets. Weiwei Wu, Xiang Liu, Minming Li |
| 2018 | Building Ethics into Artificial Intelligence. Han Yu, Zhiqi Shen, Chunyan Miao, Cyril Leung, Victor R. Lesser, Qiang Yang |
| 2018 | Building Sparse Deep Feedforward Networks using Tree Receptive Fields. Xiaopeng Li, Zhourong Chen, Nevin L. Zhang |
| 2018 | CAGAN: Consistent Adversarial Training Enhanced GANs. Yao Ni, Dandan Song, Xi Zhang, Hao Wu, Lejian Liao |
| 2018 | CISA: Chinese Information Structure Analysis for Scientific Writing with Cross-lingual Adversarial Learning. Hen-Hsen Huang, Hsin-Hsi Chen |
| 2018 | CR-GAN: Learning Complete Representations for Multi-view Generation. Yu Tian, Xi Peng, Long Zhao, Shaoting Zhang, Dimitris N. Metaxas |
| 2018 | CSNN: An Augmented Spiking based Framework with Perceptron-Inception. Qi Xu, Yu Qi, Hang Yu, Jiangrong Shen, Huajin Tang, Gang Pan |
| 2018 | Cascaded Low Rank and Sparse Representation on Grassmann Manifolds. Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin |
| 2018 | Cascaded SR-GAN for Scale-Adaptive Low Resolution Person Re-identification. Zheng Wang, Mang Ye, Fan Yang, Xiang Bai, Shin'ichi Satoh |
| 2018 | Causal Inference in Time Series via Supervised Learning. Yoichi Chikahara, Akinori Fujino |
| 2018 | Centralized Ranking Loss with Weakly Supervised Localization for Fine-Grained Object Retrieval. Xiawu Zheng, Rongrong Ji, Xiaoshuai Sun, Yongjian Wu, Feiyue Huang, Yanhua Yang |
| 2018 | Ceteris paribus majority for social ranking. Adrian Haret, Hossein Khani, Stefano Moretti, Meltem Öztürk |
| 2018 | Chinese Poetry Generation with a Working Memory Model. Xiaoyuan Yi, Maosong Sun, Ruoyu Li, Zonghan Yang |
| 2018 | Classification Transfer for Qualitative Reasoning Problems. Manuel Bodirsky, Peter Jonsson, Barnaby Martin, Antoine Mottet |
| 2018 | Co-attention CNNs for Unsupervised Object Co-segmentation. Kuang-Jui Hsu, Yen-Yu Lin, Yung-Yu Chuang |
| 2018 | Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation. Chao Li, Qiaoyong Zhong, Di Xie, Shiliang Pu |
| 2018 | Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment. Muhao Chen, Yingtao Tian, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo |
| 2018 | Coarse-to-fine Image Co-segmentation with Intra and Inter Rank Constraints. Lianli Gao, Jingkuan Song, Dongxiang Zhang, Heng Tao Shen |
| 2018 | Code Completion with Neural Attention and Pointer Networks. Jian Li, Yue Wang, Michael R. Lyu, Irwin King |
| 2018 | Collaborative Learning for Weakly Supervised Object Detection. Jiajie Wang, Jiangchao Yao, Ya Zhang, Rui Zhang |
| 2018 | Collaborative and Attentive Learning for Personalized Image Aesthetic Assessment. Guolong Wang, Junchi Yan, Zheng Qin |
| 2018 | Combinatorial Auctions via Machine Learning-based Preference Elicitation. Gianluca Brero, Benjamin Lubin, Sven Seuken |
| 2018 | Combinatorial Cost Sharing. Shahar Dobzinski, Shahar Ovadia |
| 2018 | Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications. Weiran Huang, Jungseul Ok, Liang Li, Wei Chen |
| 2018 | Combining Opinion Pooling and Evidential Updating for Multi-Agent Consensus. Chanelle Lee, Jonathan Lawry, Alan F. T. Winfield |
| 2018 | Commonsense Knowledge Aware Conversation Generation with Graph Attention. Hao Zhou, Tom Young, Minlie Huang, Haizhou Zhao, Jingfang Xu, Xiaoyan Zhu |
| 2018 | Compact-MDD: Efficiently Filtering (s)MDD Constraints with Reversible Sparse Bit-sets. Hélène Verhaeghe, Christophe Lecoutre, Pierre Schaus |
| 2018 | Comparing Approximate Relaxations of Envy-Freeness. Georgios Amanatidis, Georgios Birmpas, Vangelis Markakis |
| 2018 | Compiling Model Representations for Querying Large ABoxes in Expressive DLs. Labinot Bajraktari, Magdalena Ortiz, Mantas Simkus |
| 2018 | Complementary Binary Quantization for Joint Multiple Indexing. Qiang Fu, Xu Han, Xianglong Liu, Jingkuan Song, Cheng Deng |
| 2018 | Complementary Learning of Word Embeddings. Yan Song, Shuming Shi |
| 2018 | Completeness-Preserving Dominance Techniques for Satisficing Planning. Álvaro Torralba |
| 2018 | Completeness-aware Rule Learning from Knowledge Graphs. Thomas Pellissier Tanon, Daria Stepanova, Simon Razniewski, Paramita Mirza, Gerhard Weikum |
| 2018 | Complexity of Approximate Query Answering under Inconsistency in Datalog+/-. Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro |
| 2018 | Complexity of Scheduling Charging in the Smart Grid. Mathijs de Weerdt, Michael Albert, Vincent Conitzer, Koos van der Linden |
| 2018 | Complexity of n-Queens Completion (Extended Abstract). Ian P. Gent, Christopher Jefferson, Peter Nightingale |
| 2018 | Computational Approaches for Stochastic Shortest Path on Succinct MDPs. Krishnendu Chatterjee, Hongfei Fu, Amir Kafshdar Goharshady, Nastaran Okati |
| 2018 | Computational Aspects of the Preference Cores of Supermodular Two-Scenario Cooperative Games. Daisuke Hatano, Yuichi Yoshida |
| 2018 | Computational Social Choice Meets Databases. Benny Kimelfeld, Phokion G. Kolaitis, Julia Stoyanovich |
| 2018 | Computing Approximate Query Answers over Inconsistent Knowledge Bases. Sergio Greco, Cristian Molinaro, Irina Trubitsyna |
| 2018 | Computing the Schulze Method for Large-Scale Preference Data Sets. Theresa Csar, Martin Lackner, Reinhard Pichler |
| 2018 | Conflict Directed Clause Learning for Maximum Weighted Clique Problem. Emmanuel Hebrard, George Katsirelos |
| 2018 | Connecting Low-Level Image Processing and High-Level Vision via Deep Learning. Ding Liu |
| 2018 | Consequence-based Reasoning for Description Logics with Disjunction, Inverse Roles, Number Restrictions, and Nominals. David Tena Cucala, Bernardo Cuenca Grau, Ian Horrocks |
| 2018 | Constrained Coalition Formation on Valuation Structures: Formal Framework, Applications, and Islands of Tractability (Extended Abstract). Gianluigi Greco, Antonella Guzzo |
| 2018 | Constructing Narrative Event Evolutionary Graph for Script Event Prediction. Zhongyang Li, Xiao Ding, Ting Liu |
| 2018 | Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation. Buru Chang, Yonggyu Park, Donghyeon Park, Seongsoon Kim, Jaewoo Kang |
| 2018 | Contextual Outlier Interpretation. Ninghao Liu, Donghwa Shin, Xia Hu |
| 2018 | Convergence Analysis of Gradient Descent for Eigenvector Computation. Zhiqiang Xu, Xin Cao, Xin Gao |
| 2018 | Conversational Explanations of Machine Learning Predictions Through Class-contrastive Counterfactual Statements. Kacper Sokol, Peter A. Flach |
| 2018 | Convolutional Memory Blocks for Depth Data Representation Learning. Keze Wang, Liang Lin, Chuangjie Ren, Wei Zhang, Wenxiu Sun |
| 2018 | Convolutional Neural Networks based Click-Through Rate Prediction with Multiple Feature Sequences. Patrick P. K. Chan, Xian Hu, Lili Zhao, Daniel S. Yeung, Dapeng Liu, Lei Xiao |
| 2018 | Core-Guided Minimal Correction Set and Core Enumeration. Nina Narodytska, Nikolaj S. Bjørner, Maria-Cristina V. Marinescu, Mooly Sagiv |
| 2018 | Cost-Based Goal Recognition for the Path-Planning Domain. Peta Masters, Sebastian Sardiña |
| 2018 | Cost-Effective Active Learning for Hierarchical Multi-Label Classification. Yifan Yan, Sheng-Jun Huang |
| 2018 | Cost-aware Cascading Bandits. Ruida Zhou, Chao Gan, Jing Yang, Cong Shen |
| 2018 | Counterexample-Driven Genetic Programming: Stochastic Synthesis of Provably Correct Programs. Krzysztof Krawiec, Iwo Bladek, Jerry Swan, John H. Drake |
| 2018 | Counterexample-Guided Data Augmentation. Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia |
| 2018 | Counterfactual Resimulation for Causal Analysis of Rule-Based Models. Jonathan Laurent, Jean Yang, Walter Fontana |
| 2018 | Counterplanning using Goal Recognition and Landmarks. Alberto Pozanco, Yolanda E-Martín, Susana Fernández, Daniel Borrajo |
| 2018 | CoupledCF: Learning Explicit and Implicit User-item Couplings in Recommendation for Deep Collaborative Filtering. Quangui Zhang, Longbing Cao, Chengzhang Zhu, Zhiqiang Li, Jinguang Sun |
| 2018 | Cross-Domain 3D Model Retrieval via Visual Domain Adaption. Anan Liu, Shu Xiang, Wenhui Li, Weizhi Nie, Yuting Su |
| 2018 | Cross-Domain Depression Detection via Harvesting Social Media. Tiancheng Shen, Jia Jia, Guangyao Shen, Fuli Feng, Xiangnan He, Huanbo Luan, Jie Tang, Thanassis Tiropanis, Tat-Seng Chua, Wendy Hall |
| 2018 | Cross-Modality Person Re-Identification with Generative Adversarial Training. Pingyang Dai, Rongrong Ji, Haibin Wang, Qiong Wu, Yuyu Huang |
| 2018 | Cross-media Multi-level Alignment with Relation Attention Network. Jinwei Qi, Yuxin Peng, Yuxin Yuan |
| 2018 | Cross-modal Bidirectional Translation via Reinforcement Learning. Jinwei Qi, Yuxin Peng |
| 2018 | Crowd Counting using Deep Recurrent Spatial-Aware Network. Lingbo Liu, Hongjun Wang, Guanbin Li, Wanli Ouyang, Liang Lin |
| 2018 | Cuckoo Feature Hashing: Dynamic Weight Sharing for Sparse Analytics. Jinyang Gao, Beng Chin Ooi, Yanyan Shen, Wang-Chien Lee |
| 2018 | Curly: An AI-based Curling Robot Successfully Competing in the Olympic Discipline of Curling. Dong-Ok Won, Byung-Do Kim, Ho-Jung Kim, Tae-San Eom, Klaus-Robert Müller, Seong-Whan Lee |
| 2018 | Curriculum Adversarial Training. Qi-Zhi Cai, Chang Liu, Dawn Song |
| 2018 | Curriculum Learning for Natural Answer Generation. Cao Liu, Shizhu He, Kang Liu, Jun Zhao |
| 2018 | Customer Sharing in Economic Networks with Costs. Bin Li, Dong Hao, Dengji Zhao, Tao Zhou |
| 2018 | Cutting the Software Building Efforts in Continuous Integration by Semi-Supervised Online AUC Optimization. Zheng Xie, Ming Li |
| 2018 | DEL: Deep Embedding Learning for Efficient Image Segmentation. Yun Liu, Peng-Tao Jiang, Vahan Petrosyan, Shijie Li, Jiawang Bian, Le Zhang, Ming-Ming Cheng |
| 2018 | DELF: A Dual-Embedding based Deep Latent Factor Model for Recommendation. Weiyu Cheng, Yanyan Shen, Yanmin Zhu, Linpeng Huang |
| 2018 | DMC: A Distributed Model Counter. Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski |
| 2018 | DRPose3D: Depth Ranking in 3D Human Pose Estimation. Min Wang, Xipeng Chen, Wentao Liu, Chen Qian, Liang Lin, Lizhuang Ma |
| 2018 | Data-Driven Inventory Management and Dynamic Pricing Competition on Online Marketplaces. Rainer Schlosser, Carsten Walther, Martin Boissier, Matthias Uflacker |
| 2018 | Data-driven Onboard Scheduling for an Autonomous Observation Satellite. Chao Li, Yingwu Chen, Patrick De Causmaecker |
| 2018 | De-biasing Covariance-Regularized Discriminant Analysis. Haoyi Xiong, Wei Cheng, Yanjie Fu, Wenqing Hu, Jiang Bian, Zhishan Guo |
| 2018 | Deception. Stefan Sarkadi |
| 2018 | Decision-Making Under Uncertainty in Multi-Agent and Multi-Robot Systems: Planning and Learning. Christopher Amato |
| 2018 | Deep Attribute Guided Representation for Heterogeneous Face Recognition. Decheng Liu, Nannan Wang, Chunlei Peng, Jie Li, Xinbo Gao |
| 2018 | Deep Attributed Network Embedding. Hongchang Gao, Heng Huang |
| 2018 | Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination. Junjun Jiang, Yi Yu, Jinhui Hu, Suhua Tang, Jiayi Ma |
| 2018 | Deep Convolutional Neural Networks with Merge-and-Run Mappings. Liming Zhao, Mingjie Li, Depu Meng, Xi Li, Zhaoxiang Zhang, Yueting Zhuang, Zhuowen Tu, Jingdong Wang |
| 2018 | Deep Discrete Prototype Multilabel Learning. Xiaobo Shen, Weiwei Liu, Yong Luo, Yew-Soon Ong, Ivor W. Tsang |
| 2018 | Deep Joint Semantic-Embedding Hashing. Ning Li, Chao Li, Cheng Deng, Xianglong Liu, Xinbo Gao |
| 2018 | Deep Learning Based Multi-modal Addressee Recognition in Visual Scenes with Utterances. Thao Le Minh, Nobuyuki Shimizu, Takashi Miyazaki, Koichi Shinoda |
| 2018 | Deep Learning for Multi-Facility Location Mechanism Design. Noah Golowich, Harikrishna Narasimhan, David C. Parkes |
| 2018 | Deep Multi-View Concept Learning. Cai Xu, Ziyu Guan, Wei Zhao, Yunfei Niu, Quan Wang, Zhiheng Wang |
| 2018 | Deep Propagation Based Image Matting. Yu Wang, Yi Niu, Peiyong Duan, Jianwei Lin, Yuanjie Zheng |
| 2018 | Deep Reasoning with Knowledge Graph for Social Relationship Understanding. Zhouxia Wang, Tianshui Chen, Jimmy S. J. Ren, Weihao Yu, Hui Cheng, Liang Lin |
| 2018 | Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation. Guiliang Liu, Oliver Schulte |
| 2018 | Deep Text Classification Can be Fooled. Bin Liang, Hongcheng Li, Miaoqiang Su, Pan Bian, Xirong Li, Wenchang Shi |
| 2018 | Deep View-Aware Metric Learning for Person Re-Identification. Pu Chen, Xinyi Xu, Cheng Deng |
| 2018 | Deep into Hypersphere: Robust and Unsupervised Anomaly Discovery in Dynamic Networks. Xian Teng, Muheng Yan, Ali Mert Ertugrul, Yu-Ru Lin |
| 2018 | DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision. Hanyuan Zhang, Hao Wu, Weiwei Sun, Baihua Zheng |
| 2018 | Deeply-Supervised CNN Model for Action Recognition with Trainable Feature Aggregation. Yang Li, Kan Li, Xinxin Wang |
| 2018 | DehazeGAN: When Image Dehazing Meets Differential Programming. Hongyuan Zhu, Xi Peng, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim |
| 2018 | Democratic Fair Allocation of Indivisible Goods. Erel Segal-Halevi, Warut Suksompong |
| 2018 | Densely Cascaded Shadow Detection Network via Deeply Supervised Parallel Fusion. Yupei Wang, Xin Zhao, Yin Li, Xuecai Hu, Kaiqi Huang |
| 2018 | Densely Connected CNN with Multi-scale Feature Attention for Text Classification. Shiyao Wang, Minlie Huang, Zhidong Deng |
| 2018 | Deontic Sensors. Julian A. Padget, Marina De Vos, Charlie Ann Page |
| 2018 | Descriptive Clustering: ILP and CP Formulations with Applications. Thi-Bich-Hanh Dao, Chia-Tung Kuo, S. S. Ravi, Christel Vrain, Ian Davidson |
| 2018 | Designing the Game to Play: Optimizing Payoff Structure in Security Games. Zheyuan Ryan Shi, Ziye Tang, Long Tran-Thanh, Rohit Singh, Fei Fang |
| 2018 | Deterministic Binary Filters for Convolutional Neural Networks. Vincent W. S. Tseng, Sourav Bhattacharya, Javier Fernández-Marqués, Milad Alizadeh, Catherine Tong, Nicholas D. Lane |
| 2018 | Differentiable Submodular Maximization. Sebastian Tschiatschek, Aytunc Sahin, Andreas Krause |
| 2018 | Differential Equations for Modeling Asynchronous Algorithms. Li He, Qi Meng, Wei Chen, Zhiming Ma, Tie-Yan Liu |
| 2018 | Differentiated Attentive Representation Learning for Sentence Classification. Qianrong Zhou, Xiaojie Wang, Xuan Dong |
| 2018 | Digitalized Cognitive Assessment mediated by a Virtual Caregiver. Matteo Luperto, Marta Romeo, Francesca Lunardini, Nicola Basilico, Ray Jones, Angelo Cangelosi, Simona Ferrante, N. Alberto Borghese |
| 2018 | Dilated Convolutional Network with Iterative Optimization for Continuous Sign Language Recognition. Junfu Pu, Wengang Zhou, Houqiang Li |
| 2018 | Discrete Factorization Machines for Fast Feature-based Recommendation. Han Liu, Xiangnan He, Fuli Feng, Liqiang Nie, Rui Liu, Hanwang Zhang |
| 2018 | Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management. Amrita Gupta, Mehrdad Farajtabar, Bistra Dilkina, Hongyuan Zha |
| 2018 | Discrete Network Embedding. Xiaobo Shen, Shirui Pan, Weiwei Liu, Yew-Soon Ong, Quan-Sen Sun |
| 2018 | Distance Metric Facilitated Transportation between Heterogeneous Domains. Han-Jia Ye, Xiang-Rong Sheng, De-Chuan Zhan, Peng He |
| 2018 | Distortion-aware CNNs for Spherical Images. Qiang Zhao, Chen Zhu, Feng Dai, Yike Ma, Guoqing Jin, Yongdong Zhang |
| 2018 | Distributed Pareto Optimization for Subset Selection. Chao Qian, Guiying Li, Chao Feng, Ke Tang |
| 2018 | Distributed Primal-Dual Optimization for Non-uniformly Distributed Data. Minhao Cheng, Cho-Jui Hsieh |
| 2018 | Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu |
| 2018 | Distributing Frank-Wolfe via Map-Reduce. Armin Moharrer, Stratis Ioannidis |
| 2018 | Distributional Correspondence Indexing for Cross-Lingual and Cross-Domain Sentiment Classification (Extended Abstract). Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani |
| 2018 | Divide and Conquer: Towards Faster Pseudo-Boolean Solving. Jan Elffers, Jakob Nordström |
| 2018 | Do not Lose the Details: Reinforced Representation Learning for High Performance Visual Tracking. Qiang Wang, Mengdan Zhang, Junliang Xing, Jin Gao, Weiming Hu, Steve J. Maybank |
| 2018 | Does Tail Label Help for Large-Scale Multi-Label Learning. Tong Wei, Yufeng Li |
| 2018 | Domain Adaptation via Tree Kernel Based Maximum Mean Discrepancy for User Consumption Intention Identification. Xiao Ding, Bibo Cai, Ting Liu, Qiankun Shi |
| 2018 | Double Auctions in Markets for Multiple Kinds of Goods. Erel Segal-Halevi, Avinatan Hassidim, Yonatan Aumann |
| 2018 | Doubly Aligned Incomplete Multi-view Clustering. Menglei Hu, Songcan Chen |
| 2018 | Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders. Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang |
| 2018 | Dual Adversarial Networks for Zero-shot Cross-media Retrieval. Jingze Chi, Yuxin Peng |
| 2018 | Dual Conditional GANs for Face Aging and Rejuvenation. Jingkuan Song, Jingqiu Zhang, Lianli Gao, Xianglong Liu, Heng Tao Shen |
| 2018 | DyNMF: Role Analytics in Dynamic Social Networks. Yulong Pei, Jianpeng Zhang, George H. L. Fletcher, Mykola Pechenizkiy |
| 2018 | Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback. Yong Liu, Lifan Zhao, Guimei Liu, Xinyan Lu, Peng Gao, Xiao-Li Li, Zhihui Jin |
| 2018 | Dynamic Dependency Awareness for QBF. Joshua Blinkhorn, Olaf Beyersdorff |
| 2018 | Dynamic Fair Division Problem with General Valuations. Bo Li, Wenyang Li, Yingkai Li |
| 2018 | Dynamic Hypergraph Structure Learning. Zizhao Zhang, Haojie Lin, Yue Gao |
| 2018 | Dynamic Network Embedding : An Extended Approach for Skip-gram based Network Embedding. Lun Du, Yun Wang, Guojie Song, Zhicong Lu, Junshan Wang |
| 2018 | Dynamic Resource Routing using Real-Time Dynamic Programming. Sebastian Schmoll, Matthias Schubert |
| 2018 | Dynamically Forming a Group of Human Forecasters and Machine Forecaster for Forecasting Economic Indicators. Takahiro Miyoshi, Shigeo Matsubara |
| 2018 | Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices. Jie Zhang, Xiaolong Wang, Dawei Li, Yalin Wang |
| 2018 | EZLearn: Exploiting Organic Supervision in Automated Data Annotation. Maxim Grechkin, Hoifung Poon, Bill Howe |
| 2018 | Effect-Abstraction Based Relaxation for Linear Numeric Planning. Dongxu Li, Enrico Scala, Patrik Haslum, Sergiy Bogomolov |
| 2018 | Efficient Adaptive Online Learning via Frequent Directions. Yuanyu Wan, Nan Wei, Lijun Zhang |
| 2018 | Efficient Attributed Network Embedding via Recursive Randomized Hashing. Wei Wu, Bin Li, Ling Chen, Chengqi Zhang |
| 2018 | Efficient Computation of Approximate Equilibria in Discrete Colonel Blotto Games. Dong Quan Vu, Patrick Loiseau, Alonso Silva |
| 2018 | Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error. Chunhui Jiang, Guiying Li, Chao Qian, Ke Tang |
| 2018 | Efficient Localized Inference for Large Graphical Models. Jinglin Chen, Jian Peng, Qiang Liu |
| 2018 | Efficient Pruning of Large Knowledge Graphs. Stefano Faralli, Irene Finocchi, Simone Paolo Ponzetto, Paola Velardi |
| 2018 | Efficient Symbolic Integration for Probabilistic Inference. Samuel Kolb, Martin Mladenov, Scott Sanner, Vaishak Belle, Kristian Kersting |
| 2018 | Egalitarian Committee Scoring Rules. Haris Aziz, Piotr Faliszewski, Bernard Grofman, Arkadii Slinko, Nimrod Talmon |
| 2018 | ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions. Soham Parikh, Ananya Sai, Preksha Nema, Mitesh M. Khapra |
| 2018 | Embracing Change by Abstraction Materialization Maintenance for Large ABoxes. Markus Brenner, Birte Glimm |
| 2018 | Emergency Response Optimization using Online Hybrid Planning. Durga Harish Dayapule, Aswin Raghavan, Prasad Tadepalli, Alan Fern |
| 2018 | Emergent Tangled Program Graphs in Multi-Task Learning. Stephen Kelly, Malcolm I. Heywood |
| 2018 | Empirical Analysis of Foundational Distinctions in Linked Open Data. Luigi Asprino, Valerio Basile, Paolo Ciancarini, Valentina Presutti |
| 2018 | Energy-efficient Amortized Inference with Cascaded Deep Classifiers. Jiaqi Guan, Yang Liu, Qiang Liu, Jian Peng |
| 2018 | Engineering Graph Features via Network Functional Blocks. Vincent W. Zheng |
| 2018 | Enhanced-alignment Measure for Binary Foreground Map Evaluation. Deng-Ping Fan, Cheng Gong, Yang Cao, Bo Ren, Ming-Ming Cheng, Ali Borji |
| 2018 | Enhancing Context Knowledge Repositories with Justifiable Exceptions (Extended Abstract). Loris Bozzato, Thomas Eiter, Luciano Serafini |
| 2018 | Enhancing Existential Rules by Closed-World Variables. Giovanni Amendola, Nicola Leone, Marco Manna, Pierfrancesco Veltri |
| 2018 | Enhancing Semantic Representations of Bilingual Word Embeddings with Syntactic Dependencies. Linli Xu, Wenjun Ouyang, Xiaoying Ren, Yang Wang, Liang Jiang |
| 2018 | Ensemble Neural Relation Extraction with Adaptive Boosting. Dongdong Yang, Senzhang Wang, Zhoujun Li |
| 2018 | Ensemble Soft-Margin Softmax Loss for Image Classification. Xiaobo Wang, Shifeng Zhang, Zhen Lei, Si Liu, Xiaojie Guo, Stan Z. Li |
| 2018 | Episodic Memory Deep Q-Networks. Zichuan Lin, Tianqi Zhao, Guangwen Yang, Lintao Zhang |
| 2018 | Equilibrium Behavior in Competing Dynamic Matching Markets. Zhuoshu Li, Neal Gupta, Sanmay Das, John P. Dickerson |
| 2018 | Estimating Latent People Flow without Tracking Individuals. Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda |
| 2018 | Estimation with Incomplete Data: The Linear Case. Karthika Mohan, Felix Thömmes, Judea Pearl |
| 2018 | Evaluating Brush Movements for Chinese Calligraphy: A Computer Vision Based Approach. Pengfei Xu, Lei Wang, Ziyu Guan, Xia Zheng, Xiaojiang Chen, Zhanyong Tang, Dingyi Fang, Xiaoqing Gong, Zheng Wang |
| 2018 | Evaluating and Complementing Vision-to-Language Technology for People who are Blind with Conversational Crowdsourcing. Elliot Salisbury, Ece Kamar, Meredith Ringel Morris |
| 2018 | Evaluation Techniques and Systems for Answer Set Programming: a Survey. Martin Gebser, Nicola Leone, Marco Maratea, Simona Perri, Francesco Ricca, Torsten Schaub |
| 2018 | Event Coreference Resolution: A Survey of Two Decades of Research. Jing Lu, Vincent Ng |
| 2018 | Event Factuality Identification via Generative Adversarial Networks with Auxiliary Classification. Zhong Qian, Peifeng Li, Yue Zhang, Guodong Zhou, Qiaoming Zhu |
| 2018 | Evolving AI from Research to Real Life - Some Challenges and Suggestions. Sandya Mannarswamy, Shourya Roy |
| 2018 | Ex-post IR Dynamic Auctions with Cost-per-Action Payments. Weiran Shen, Zihe Wang, Song Zuo |
| 2018 | Exact Algorithms and Complexity of Kidney Exchange. Mingyu Xiao, Xuanbei Wang |
| 2018 | Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements. Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan |
| 2018 | Expectation Optimization with Probabilistic Guarantees in POMDPs with Discounted-Sum Objectives. Krishnendu Chatterjee, Adrián Elgyütt, Petr Novotný, Owen Rouillé |
| 2018 | Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search. Yi-Qi Hu, Yang Yu, Zhi-Hua Zhou |
| 2018 | Experimental Design under the Bradley-Terry Model. Yuan Guo, Peng Tian, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Deniz Erdogmus, Jennifer G. Dy, Stratis Ioannidis |
| 2018 | Explainable Certain Answers. Giovanni Amendola, Leonid Libkin |
| 2018 | Explaining Multi-Criteria Decision Aiding Models with an Extended Shapley Value. Christophe Labreuche, Simon Fossier |
| 2018 | Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics. Yanchi Liu, Tan Yan, Haifeng Chen |
| 2018 | Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks. Feiwu Yu, Xinxiao Wu, Yuchao Sun, Lixin Duan |
| 2018 | Exploiting Justifications for Lazy Grounding of Answer Set Programs. Bart Bogaerts, Antonius Weinzierl |
| 2018 | Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation. Hao Wang, Huawei Shen, Wentao Ouyang, Xueqi Cheng |
| 2018 | Exploration by Distributional Reinforcement Learning. Yunhao Tang, Shipra Agrawal |
| 2018 | Exploring Encoder-Decoder Model for Distant Supervised Relation Extraction. Sen Su, Ningning Jia, Xiang Cheng, Shuguang Zhu, Ruiping Li |
| 2018 | Extended Increasing Cost Tree Search for Non-Unit Cost Domains. Thayne T. Walker, Nathan R. Sturtevant, Ariel Felner |
| 2018 | Extracting Action Sequences from Texts Based on Deep Reinforcement Learning. Wenfeng Feng, Hankz Hankui Zhuo, Subbarao Kambhampati |
| 2018 | Extracting Job Title Hierarchy from Career Trajectories: A Bayesian Perspective. Huang Xu, Zhiwen Yu, Bin Guo, Mingfei Teng, Hui Xiong |
| 2018 | Extracting Latent Beliefs and using Epistemic Reasoning to Tailor a Chatbot. Amit Sangroya, C. Anantaram, Pratik Saini, Mrinal Rawat |
| 2018 | Extracting Privileged Information from Untagged Corpora for Classifier Learning. Yazhou Yao, Jian Zhang, Fumin Shen, Wankou Yang, Xian-Sheng Hua, Zhenmin Tang |
| 2018 | FISH-MML: Fisher-HSIC Multi-View Metric Learning. Changqing Zhang, Yeqing Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu |
| 2018 | Facility Reallocation on the Line. Bart de Keijzer, Dominik Wojtczak |
| 2018 | Fact Checking via Evidence Patterns. Valeria Fionda, Giuseppe Pirrò |
| 2018 | Fact-Alternating Mutex Groups for Classical Planning (Extended Abstract). Daniel Fiser, Antonín Komenda |
| 2018 | Fair Division Under Cardinality Constraints. Arpita Biswas, Siddharth Barman |
| 2018 | Fast Compliance Checking in an OWL2 Fragment. Piero A. Bonatti |
| 2018 | Fast Cross-Validation. Yong Liu, Hailun Lin, Lizhong Ding, Weiping Wang, Shizhong Liao |
| 2018 | Fast Factorization-free Kernel Learning for Unlabeled Chunk Data Streams. Yi Wang, Nan Xue, Xin Fan, Jiebo Luo, Risheng Liu, Bin Chen, Haojie Li, Zhongxuan Luo |
| 2018 | Fast Model Identification via Physics Engines for Data-Efficient Policy Search. Shaojun Zhu, Andrew Kimmel, Kostas E. Bekris, Abdeslam Boularias |
| 2018 | Fast Vehicle Identification in Surveillance via Ranked Semantic Sampling Based Embedding. Feng Zheng, Xin Miao, Heng Huang |
| 2018 | Faster Training Algorithms for Structured Sparsity-Inducing Norm. Bin Gu, Xingwang Ju, Xiang Li, Guansheng Zheng |
| 2018 | Feature Enhancement in Attention for Visual Question Answering. Yuetan Lin, Zhangyang Pang, Donghui Wang, Yueting Zhuang |
| 2018 | Feature Hashing for Network Representation Learning. Qixiang Wang, Shanfeng Wang, Maoguo Gong, Yue Wu |
| 2018 | Feature Integration with Adaptive Importance Maps for Visual Tracking. Aishi Li, Ming Yang, Wanqi Yang |
| 2018 | Features, Projections, and Representation Change for Generalized Planning. Blai Bonet, Hector Geffner |
| 2018 | Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics. Ge Zhang, Di Jin, Jian Gao, Pengfei Jiao, Françoise Fogelman-Soulié, Xin Huang |
| 2018 | Finding Frequent Entities in Continuous Data. Ferran Alet, Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez |
| 2018 | Fine-grained Image Classification by Visual-Semantic Embedding. Huapeng Xu, Guilin Qi, Jingjing Li, Meng Wang, Kang Xu, Huan Gao |
| 2018 | Finite Controllability of Conjunctive Query Answering with Existential Rules: Two Steps Forward. Giovanni Amendola, Nicola Leone, Marco Manna |
| 2018 | Finite Model Reasoning in Hybrid Classes of Existential Rules. Georg Gottlob, Marco Manna, Andreas Pieris |
| 2018 | Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces. Haifang Li, Yingce Xia, Wensheng Zhang |
| 2018 | First-Order Rewritability of Frontier-Guarded Ontology-Mediated Queries. Pablo Barceló, Gerald Berger, Carsten Lutz, Andreas Pieris |
| 2018 | Five Years of Argument Mining: a Data-driven Analysis. Elena Cabrio, Serena Villata |
| 2018 | Formal Analysis of Deep Binarized Neural Networks. Nina Narodytska |
| 2018 | Fostering Cooperation in Structured Populations Through Local and Global Interference Strategies. The Anh Han, Simon Lynch, Long Tran-Thanh, Francisco C. Santos |
| 2018 | From Conjunctive Queries to Instance Queries in Ontology-Mediated Querying. Cristina Feier, Carsten Lutz, Frank Wolter |
| 2018 | From Feature to Paradigm: Deep Learning in Machine Translation (Extended Abstract). Marta R. Costa-jussà |
| 2018 | From Pixels to Objects: Cubic Visual Attention for Visual Question Answering. Jingkuan Song, Pengpeng Zeng, Lianli Gao, Heng Tao Shen |
| 2018 | From Reality to Perception: Genre-Based Neural Image Style Transfer. Zhuoqi Ma, Nannan Wang, Xinbo Gao, Jie Li |
| 2018 | From the Periphery to the Core: Information Brokerage in an Evolving Network. Bo Yan, Yiping Liu, Jiamou Liu, Yijin Cai, Hongyi Su, Hong Zheng |
| 2018 | Functional Partitioning of Ontologies for Natural Language Query Completion in Question Answering Systems. Jaydeep Sen, Ashish R. Mittal, Diptikalyan Saha, Karthik Sankaranarayanan |
| 2018 | GELU-Net: A Globally Encrypted, Locally Unencrypted Deep Neural Network for Privacy-Preserved Learning. Qiao Zhang, Cong Wang, Hongyi Wu, Chunsheng Xin, Tran V. Phuong |
| 2018 | Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach. Lun Du, Zhicong Lu, Yun Wang, Guojie Song, Yiming Wang, Wei Chen |
| 2018 | Game Description Language and Dynamic Epistemic Logic Compared. Thorsten Engesser, Robert Mattmüller, Bernhard Nebel, Michael Thielscher |
| 2018 | Generalization Bounds for Regularized Pairwise Learning. Yunwen Lei, Shao-Bo Lin, Ke Tang |
| 2018 | Generalization-Aware Structured Regression towards Balancing Bias and Variance. Martin Pavlovski, Fang Zhou, Nino Arsov, Ljupco Kocarev, Zoran Obradovic |
| 2018 | Generating Adversarial Examples with Adversarial Networks. Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song |
| 2018 | Generating High Resolution Climate Change Projections through Single Image Super-Resolution: An Abridged Version. Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly |
| 2018 | Generating Plans for Cooperative Connected UAVs. François Bodin, Tristan Charrier, Arthur Queffelec, François Schwarzentruber |
| 2018 | Generating Thematic Chinese Poetry using Conditional Variational Autoencoders with Hybrid Decoders. Xiaopeng Yang, Xiaowen Lin, Shunda Suo, Ming Li |
| 2018 | Generative Adversarial Positive-Unlabelled Learning. Ming Hou, Brahim Chaib-draa, Chao Li, Qibin Zhao |
| 2018 | Generative Warfare Nets: Ensemble via Adversaries and Collaborators. Honglun Zhang, Liqiang Xiao, Wenqing Chen, Yongkun Wang, Yaohui Jin |
| 2018 | GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction. Yuxuan Liang, Songyu Ke, Junbo Zhang, Xiuwen Yi, Yu Zheng |
| 2018 | Geolocating Images with Crowdsourcing and Diagramming. Rachel Kohler, John Purviance, Kurt Luther |
| 2018 | Geometric Enclosing Networks. Trung Le, Hung Vu, Tu Dinh Nguyen, Dinh Q. Phung |
| 2018 | Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism. Chongyang Tao, Shen Gao, Mingyue Shang, Wei Wu, Dongyan Zhao, Rui Yan |
| 2018 | Glass-Box: Explaining AI Decisions With Counterfactual Statements Through Conversation With a Voice-enabled Virtual Assistant. Kacper Sokol, Peter A. Flach |
| 2018 | Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search. Tao Zhuang, Wenwu Ou, Zhirong Wang |
| 2018 | Goal-Based Collective Decisions: Axiomatics and Computational Complexity. Arianna Novaro, Umberto Grandi, Dominique Longin, Emiliano Lorini |
| 2018 | Goal-HSVI: Heuristic Search Value Iteration for Goal POMDPs. Karel Horák, Branislav Bosanský, Krishnendu Chatterjee |
| 2018 | Goal-Oriented Chatbot Dialog Management Bootstrapping with Transfer Learning. Vladimir Ilievski, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl |
| 2018 | GraspNet: An Efficient Convolutional Neural Network for Real-time Grasp Detection for Low-powered Devices. Umar Asif, Jianbin Tang, Stefan Harrer |
| 2018 | Greedy Stone Tower Creations with a Robotic Arm. Martin Wermelinger, Fadri Furrer, Hironori Yoshida, Fabio Gramazio, Matthias Kohler, Roland Siegwart, Marco Hutter |
| 2018 | Grounded Language Learning: Where Robotics and NLP Meet. Cynthia Matuszek |
| 2018 | Grouping Attribute Recognition for Pedestrian with Joint Recurrent Learning. Xin Zhao, Liufang Sang, Guiguang Ding, Yuchen Guo, Xiaoming Jin |
| 2018 | H-Net: Neural Network for Cross-domain Image Patch Matching. Weiquan Liu, Xuelun Shen, Cheng Wang, Zhihong Zhang, Chenglu Wen, Jonathan Li |
| 2018 | HCR-Net: A Hybrid of Classification and Regression Network for Object Pose Estimation. Zairan Wang, Weiming Li, Yueying Kao, Dongqing Zou, Qiang Wang, Minsu Ahn, Sunghoon Hong |
| 2018 | HST-LSTM: A Hierarchical Spatial-Temporal Long-Short Term Memory Network for Location Prediction. Dejiang Kong, Fei Wu |
| 2018 | Handling Uncertainty in Recommender Systems under the Belief Function Theory. Raoua Abdelkhalek |
| 2018 | Harnessing Synthesized Abstraction Images to Improve Facial Attribute Recognition. Keke He, Yanwei Fu, Wuhao Zhang, Chengjie Wang, Yu-Gang Jiang, Feiyue Huang, Xiangyang Xue |
| 2018 | Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning. Haiyan Yin, Jianda Chen, Sinno Jialin Pan |
| 2018 | Hashtag2Vec: Learning Hashtag Representation with Relational Hierarchical Embedding Model. Jie Liu, Zhicheng He, Yalou Huang |
| 2018 | Hatebusters: A Web Application for Actively Reporting YouTube Hate Speech. Antonios Anagnostou, Ioannis Mollas, Grigorios Tsoumakas |
| 2018 | Hermitian Co-Attention Networks for Text Matching in Asymmetrical Domains. Yi Tay, Anh Tuan Luu, Siu Cheung Hui |
| 2018 | Hi-Fi: Hierarchical Feature Integration for Skeleton Detection. Kai Zhao, Wei Shen, Shanghua Gao, Dandan Li, Ming-Ming Cheng |
| 2018 | Hierarchical Active Learning with Group Proportion Feedback. Zhipeng Luo, Milos Hauskrecht |
| 2018 | Hierarchical Electricity Time Series Forecasting for Integrating Consumption Patterns Analysis and Aggregation Consistency. Yue Pang, Bo Yao, Xiangdong Zhou, Yong Zhang, Yiming Xu, Zijing Tan |
| 2018 | Hierarchical Expertise Level Modeling for User Specific Contrastive Explanations. Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati |
| 2018 | Hierarchical Graph Structure Learning for Multi-View 3D Model Retrieval. Yuting Su, Wenhui Li, Anan Liu, Weizhi Nie |
| 2018 | High Resolution Feature Recovering for Accelerating Urban Scene Parsing. Rui Zhang, Sheng Tang, Luoqi Liu, Yongdong Zhang, Jintao Li, Shuicheng Yan |
| 2018 | High-Fidelity Simulated Players for Interactive Narrative Planning. Pengcheng Wang, Jonathan P. Rowe, Wookhee Min, Bradford W. Mott, James C. Lester |
| 2018 | High-Order Co-Clustering via Strictly Orthogonal and Symmetric L1-Norm Nonnegative Matrix Tri-Factorization. Kai Liu, Hua Wang |
| 2018 | High-dimensional Similarity Learning via Dual-sparse Random Projection. Dezhong Yao, Peilin Zhao, Tuan-Anh Nguyen Pham, Gao Cong |
| 2018 | Hintikka's World: Agents with Higher-order Knowledge. François Schwarzentruber |
| 2018 | Horn-Rewritability vs PTime Query Evaluation in Ontology-Mediated Querying. André Hernich, Carsten Lutz, Fabio Papacchini, Frank Wolter |
| 2018 | Human Motion Generation via Cross-Space Constrained Sampling. Zhongyue Huang, Jingwei Xu, Bingbing Ni |
| 2018 | Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification. SungMin Rhee, Seokjun Seo, Sun Kim |
| 2018 | IBM Scenario Planning Advisor: Plan Recognition as AI Planning in Practice. Shirin Sohrabi, Michael Katz, Oktie Hassanzadeh, Octavian Udrea, Mark D. Feblowitz |
| 2018 | INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process. Ruocheng Guo, Jundong Li, Huan Liu |
| 2018 | Identifying Differences in Social Responsiveness among Preschoolers Interacting with or Watching Social Robots. Marie D. Manner |
| 2018 | Image Cationing with Visual-Semantic LSTM. Nannan Li, Zhenzhong Chen |
| 2018 | Image-level to Pixel-wise Labeling: From Theory to Practice. Tiezhu Sun, Wei Zhang, Zhijie Wang, Lin Ma, Zequn Jie |
| 2018 | Implicit Non-linear Similarity Scoring for Recognizing Unseen Classes. Yuchen Guo, Guiguang Ding, Jungong Han, Sicheng Zhao, Bin Wang |
| 2018 | Importance Sampling for Fair Policy Selection. Shayan Doroudi, Philip S. Thomas, Emma Brunskill |
| 2018 | Impossibility in Belief Merging (Extended Abstract). Amílcar Mata Díaz, Ramón Pino Pérez |
| 2018 | Impression Allocation for Combating Fraud in E-commerce Via Deep Reinforcement Learning with Action Norm Penalty. Mengchen Zhao, Zhao Li, Bo An, Haifeng Lu, Yifan Yang, Chen Chu |
| 2018 | Improving Data Management using Domain Knowledge. Magdalena Ortiz |
| 2018 | Improving Deep Neural Network Sparsity through Decorrelation Regularization. Xiaotian Zhu, Wengang Zhou, Houqiang Li |
| 2018 | Improving Entity Recommendation with Search Log and Multi-Task Learning. Jizhou Huang, Wei Zhang, Yaming Sun, Haifeng Wang, Ting Liu |
| 2018 | Improving Implicit Recommender Systems with View Data. Jingtao Ding, Guanghui Yu, Xiangnan He, Yuhan Quan, Yong Li, Tat-Seng Chua, Depeng Jin, Jiajie Yu |
| 2018 | Improving Information Centrality of a Node in Complex Networks by Adding Edges. Liren Shan, Yuhao Yi, Zhongzhi Zhang |
| 2018 | Improving Information Extraction from Images with Learned Semantic Models. Stephan Baier, Yunpu Ma, Volker Tresp |
| 2018 | Improving Local Search for Minimum Weight Vertex Cover by Dynamic Strategies. Shaowei Cai, Wenying Hou, Jinkun Lin, Yuanjie Li |
| 2018 | Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer. Xiaocheng Feng, Xiachong Feng, Bing Qin, Zhangyin Feng, Ting Liu |
| 2018 | Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning. Junchi Yan, Xin Liu, Liangliang Shi, Changsheng Li, Hongyuan Zha |
| 2018 | Improving Reinforcement Learning with Human Input. Matthew E. Taylor |
| 2018 | Incentive-Compatible Mechanisms for Norm Monitoring in Open Multi-Agent Systems (Extended Abstract). Natasha Alechina, Joseph Y. Halpern, Ian A. Kash, Brian Logan |
| 2018 | IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection. Qiangpeng Yang, Mengli Cheng, Wenmeng Zhou, Yan Chen, Minghui Qiu, Wei Lin |
| 2018 | Incomplete Multi-View Weak-Label Learning. Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang |
| 2018 | Inconsistency Measures for Repair Semantics in OBDA. Bruno Yun, Srdjan Vesic, Madalina Croitoru, Pierre Bisquert |
| 2018 | Inconsistency-Tolerant Ontology-Based Data Access Revisited: Taking Mappings into Account. Meghyn Bienvenu |
| 2018 | Incrementally Grounding Expressions for Spatial Relations between Objects. Tiago Mota, Mohan Sridharan |
| 2018 | Inductive Certificates of Unsolvability for Domain-Independent Planning. Salomé Eriksson, Gabriele Röger, Malte Helmert |
| 2018 | Inferring Temporal Knowledge for Near-Periodic Recurrent Events. Dinesh Raghu, Surag Nair, Mausam |
| 2018 | Inhibition of Occluded Facial Regions for Distance-Based Face Recognition. Daniel López Sánchez, Juan M. Corchado, Angélica González Arrieta |
| 2018 | Instance Weighting with Applications to Cross-domain Text Classification via Trading off Sample Selection Bias and Variance. Rui Xia, Zhenchun Pan, Feng Xu |
| 2018 | Instructing Novice Users on How to Use Tools in DIY Projects. Gregor Behnke, Marvin R. G. Schiller, Matthias Kraus, Pascal Bercher, Mario Schmautz, Michael Dorna, Wolfgang Minker, Birte Glimm, Susanne Biundo |
| 2018 | Integrating Demand Response and Renewable Energy In Wholesale Market. Chaojie Li, Chen Liu, Xinghuo Yu, Ke Deng, Tingwen Huang, Liangchen Liu |
| 2018 | Integrative Network Embedding via Deep Joint Reconstruction. Di Jin, Meng Ge, Liang Yang, Dongxiao He, Longbiao Wang, Weixiong Zhang |
| 2018 | Intelligent Assistant for Elderly. Jani Bizjak, Anton Gradisek, Matjaz Gams |
| 2018 | Intelligent Decision Support for Human Team Planning. Joseph Kim |
| 2018 | Interactive Learning and Decision Making: Foundations, Insights & Challenges. Frans A. Oliehoek |
| 2018 | Interactive Optimal Teaching with Unknown Learners. Francisco S. Melo, Carla Guerra, Manuel Lopes |
| 2018 | Interactive Robot Transition Repair With SMT. Jarrett Holtz, Arjun Guha, Joydeep Biswas |
| 2018 | Interactive, Collaborative Robots: Challenges and Opportunities. Danica Kragic, Joakim Gustafson, Hakan Karaoguz, Patric Jensfelt, Robert Krug |
| 2018 | Interpretable Adversarial Perturbation in Input Embedding Space for Text. Motoki Sato, Jun Suzuki, Hiroyuki Shindo, Yuji Matsumoto |
| 2018 | Interpretable Drug Target Prediction Using Deep Neural Representation. Kyle Yingkai Gao, Achille Fokoue, Heng Luo, Arun Iyengar, Sanjoy Dey, Ping Zhang |
| 2018 | Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents. Liang Hu, Songlei Jian, Longbing Cao, Qingkui Chen |
| 2018 | Iterative Metric Learning for Imbalance Data Classification. Nan Wang, Xibin Zhao, Yu Jiang, Yue Gao |
| 2018 | JUMP: a Jointly Predictor for User Click and Dwell Time. Tengfei Zhou, Hui Qian, Zebang Shen, Chao Zhang, Chengwei Wang, Shichen Liu, Wenwu Ou |
| 2018 | Joint Extraction of Entities and Relations Based on a Novel Graph Scheme. Shaolei Wang, Yue Zhang, Wanxiang Che, Ting Liu |
| 2018 | Joint Generative Moment-Matching Network for Learning Structural Latent Code. Hongchang Gao, Heng Huang |
| 2018 | Joint Learning Embeddings for Chinese Words and their Components via Ladder Structured Networks. Yan Song, Shuming Shi, Jing Li |
| 2018 | Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization. Kejing Yin, William K. Cheung, Yang Liu, Benjamin C. M. Fung, Jonathan Poon |
| 2018 | Joint Posterior Revision of NLP Annotations via Ontological Knowledge. Marco Rospocher, Francesco Corcoglioniti |
| 2018 | Jointly Learning Network Connections and Link Weights in Spiking Neural Networks. Yu Qi, Jiangrong Shen, Yueming Wang, Huajin Tang, Hang Yu, Zhaohui Wu, Gang Pan |
| 2018 | Jumper: Learning When to Make Classification Decision in Reading. Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song |
| 2018 | Keeping in Touch with Collaborative UAVs: A Deep Reinforcement Learning Approach. Bo Yang, Min Liu |
| 2018 | Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition. Tianshui Chen, Liang Lin, Riquan Chen, Yang Wu, Xiaonan Luo |
| 2018 | Knowledge-Guided Agent-Tactic-Aware Learning for StarCraft Micromanagement. Yue Hu, Juntao Li, Xi Li, Gang Pan, Mingliang Xu |
| 2018 | LC-RNN: A Deep Learning Model for Traffic Speed Prediction. Zhongjian Lv, Jiajie Xu, Kai Zheng, Hongzhi Yin, Pengpeng Zhao, Xiaofang Zhou |
| 2018 | LP Heuristics over Conjunctions: Compilation, Convergence, Nogood Learning. Marcel Steinmetz, Jörg Hoffmann |
| 2018 | LSTM Networks for Online Cross-Network Recommendations. Dilruk Perera, Roger Zimmermann |
| 2018 | LTL Realizability via Safety and Reachability Games. Alberto Camacho, Christian J. Muise, Jorge A. Baier, Sheila A. McIlraith |
| 2018 | Label Embedding Based on Multi-Scale Locality Preservation. Cheng-Lun Peng, An Tao, Xin Geng |
| 2018 | Label Enhancement for Label Distribution Learning. Ning Xu, An Tao, Xin Geng |
| 2018 | Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning. Xiao Zhang, Wenzhong Li, Vu Nguyen, Fuzhen Zhuang, Hui Xiong, Sanglu Lu |
| 2018 | Language to Action: Towards Interactive Task Learning with Physical Agents. Joyce Y. Chai, Qiaozi Gao, Lanbo She, Shaohua Yang, Sari Saba-Sadiya, Guangyue Xu |
| 2018 | Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask. Xi Zhang, Di Ma, Xu Ouyang, Shanshan Jiang, Lin Gan, Gady Agam |
| 2018 | Leadership in Singleton Congestion Games. Alberto Marchesi, Stefano Coniglio, Nicola Gatti |
| 2018 | Learning Conceptual Space Representations of Interrelated Concepts. Zied Bouraoui, Steven Schockaert |
| 2018 | Learning Continuous Time Bayesian Networks in Non-stationary Domains. Simone Villa, Fabio Stella |
| 2018 | Learning Deep Unsupervised Binary Codes for Image Retrieval. Junjie Chen, William K. Cheung, Anran Wang |
| 2018 | Learning Environmental Calibration Actions for Policy Self-Evolution. Chao Zhang, Yang Yu, Zhi-Hua Zhou |
| 2018 | Learning Explanatory Rules from Noisy Data (Extended Abstract). Richard Evans, Edward Grefenstette |
| 2018 | Learning Optimal Decision Trees with SAT. Nina Narodytska, Alexey Ignatiev, Filipe Pereira, João Marques-Silva |
| 2018 | Learning Out-of-Vocabulary Words in Intelligent Personal Agents. Avik Ray, Yilin Shen, Hongxia Jin |
| 2018 | Learning Portable Symbolic Representations. Steven James |
| 2018 | Learning Robust Gaussian Process Regression for Visual Tracking. Linyu Zheng, Ming Tang, Jinqiao Wang |
| 2018 | Learning SMT(LRA) Constraints using SMT Solvers. Samuel Kolb, Stefano Teso, Andrea Passerini, Luc De Raedt |
| 2018 | Learning Sequential Correlation for User Generated Textual Content Popularity Prediction. Wen Wang, Wei Zhang, Jun Wang, Junchi Yan, Hongyuan Zha |
| 2018 | Learning Tag Dependencies for Sequence Tagging. Yuan Zhang, Hongshen Chen, Yihong Zhao, Qun Liu, Dawei Yin |
| 2018 | Learning Transferable UAV for Forest Visual Perception. Lyujie Chen, Wufan Wang, Jihong Zhu |
| 2018 | Learning Unmanned Aerial Vehicle Control for Autonomous Target Following. Siyi Li, Tianbo Liu, Chi Zhang, Dit-Yan Yeung, Shaojie Shen |
| 2018 | Learning Word Vectors with Linear Constraints: A Matrix Factorization Approach. Wenye Li, Jiawei Zhang, Jianjun Zhou, Laizhong Cui |
| 2018 | Learning and Communicating the Latent States of Human-Machine Collaboration. Vaibhav V. Unhelkar, Julie A. Shah |
| 2018 | Learning to Converse with Noisy Data: Generation with Calibration. Mingyue Shang, Zhenxin Fu, Nanyun Peng, Yansong Feng, Dongyan Zhao, Rui Yan |
| 2018 | Learning to Design Games: Strategic Environments in Reinforcement Learning. Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Yin Wen, Yong Yu, Wenxin Li |
| 2018 | Learning to Explain Ambiguous Headlines of Online News. Tianyu Liu, Wei Wei, Xiaojun Wan |
| 2018 | Learning to Give Feedback: Modeling Attributes Affecting Argument Persuasiveness in Student Essays. Zixuan Ke, Winston Carlile, Nishant Gurrapadi, Vincent Ng |
| 2018 | Learning to Infer Final Plans in Human Team Planning. Joseph Kim, Matthew E. Woicik, Matthew C. Gombolay, Sung-Hyun Son, Julie A. Shah |
| 2018 | Learning to Recognize Transient Sound Events using Attentional Supervision. Szu-Yu Chou, Jyh-Shing Roger Jang, Yi-Hsuan Yang |
| 2018 | Learning to Write Stylized Chinese Characters by Reading a Handful of Examples. Danyang Sun, Tongzheng Ren, Chongxuan Li, Hang Su, Jun Zhu |
| 2018 | Learning with Adaptive Neighbors for Image Clustering. Yang Liu, Quanxue Gao, Zhaohua Yang, Shujian Wang |
| 2018 | Learning with Sparse and Biased Feedback for Personal Search. Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler |
| 2018 | Leveraging Latent Label Distributions for Partial Label Learning. Lei Feng, Bo An |
| 2018 | Leveraging Qualitative Reasoning to Improve SFL. Alexandre Perez, Rui Abreu |
| 2018 | Lifelong Domain Word Embedding via Meta-Learning. Hu Xu, Bing Liu, Lei Shu, Philip S. Yu |
| 2018 | Lifted Filtering via Exchangeable Decomposition. Stefan Lüdtke, Max Schröder, Sebastian Bader, Kristian Kersting, Thomas Kirste |
| 2018 | Lightweight Label Propagation for Large-Scale Network Data. De-Ming Liang, Yufeng Li |
| 2018 | Lightweight Random Indexing for Polylingual Text Classification (Extended Abstract). Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani |
| 2018 | Line separation from topographic maps using regional color and spatial information. Pengfei Xu, Qiguang Miao, Tiange Liu, Xiaojiang Chen, Dingyi Fang |
| 2018 | Linear Satisfiability Preserving Assignments (Extended Abstract). Kei Kimura, Kazuhisa Makino |
| 2018 | Listen, Think and Listen Again: Capturing Top-down Auditory Attention for Speaker-independent Speech Separation. Jing Shi, Jiaming Xu, Guangcan Liu, Bo Xu |
| 2018 | Live Face Verification with Multiple Instantialized Local Homographic Parameterization. Chen Lin, Zhouyingcheng Liao, Peng Zhou, Jianguo Hu, Bingbing Ni |
| 2018 | Local Minima, Heavy Tails, and Search Effort for GBFS. Eldan Cohen, J. Christopher Beck |
| 2018 | Localized Incomplete Multiple Kernel k-means. Xinzhong Zhu, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Zhiping Cai, Jianping Yin, Wen Gao |
| 2018 | Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamics. Yongyi Tang, Lin Ma, Wei Liu, Wei-Shi Zheng |
| 2018 | MASTER: across Multiple social networks, integrate Attribute and STructure Embedding for Reconciliation. Sen Su, Li Sun, Zhongbao Zhang, Gen Li, Jielun Qu |
| 2018 | MCTS-Minimax Hybrids with State Evaluations (Extended Abstract). Hendrik Baier, Mark H. M. Winands |
| 2018 | MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation. David Keetae Park, Seungjoo Yoo, Hyojin Bahng, Jaegul Choo, Noseong Park |
| 2018 | MEnet: A Metric Expression Network for Salient Object Segmentation. Shulian Cai, Jiabin Huang, Delu Zeng, Xinghao Ding, John W. Paisley |
| 2018 | MIXGAN: Learning Concepts from Different Domains for Mixture Generation. Guang-Yuan Hao, Hong-Xing Yu, Wei-Shi Zheng |
| 2018 | MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling. Jianpeng Xu, Xi Liu, Tyler Wilson, Pang-Ning Tan, Pouyan Hatami, Lifeng Luo |
| 2018 | Machine Learning Approaches to Reduce Electrical Waste and Improve Power Grid Stability. Mark Valovage |
| 2018 | Machine Learning and Constraint Programming for Relational-To-Ontology Schema Mapping. Diego de Uña, Nataliia Rümmele, Graeme Gange, Peter Schachte, Peter J. Stuckey |
| 2018 | Maintenance of Case Bases: Current Algorithms after Fifty Years. Jose M. Juarez, Susan Craw, J. Ricardo Lopez-Delgado, Manuel Campos |
| 2018 | Make Evasion Harder: An Intelligent Android Malware Detection System. Shifu Hou, Yanfang Ye, Yangqiu Song, Melih Abdulhayoglu |
| 2018 | Managing Communication Costs under Temporal Uncertainty. Nikhil Bhargava, Christian J. Muise, Tiago Vaquero, Brian Charles Williams |
| 2018 | Marathon Race Planning: A Case-Based Reasoning Approach. Barry Smyth, Padraig Cunningham |
| 2018 | Markov Random Neural Fields for Face Sketch Synthesis. Mingjin Zhang, Nannan Wang, Xinbo Gao, Yunsong Li |
| 2018 | Master-Slave Curriculum Design for Reinforcement Learning. Yuechen Wu, Wei Zhang, Ke Song |
| 2018 | Matrix completion with Preference Ranking for Top-N Recommendation. Zengmao Wang, Yuhong Guo, Bo Du |
| 2018 | Maximin Share Allocations on Cycles. Zbigniew Lonc, Miroslaw Truszczynski |
| 2018 | Medical Concept Embedding with Time-Aware Attention. Xiangrui Cai, Jinyang Gao, Kee Yuan Ngiam, Beng Chin Ooi, Ying Zhang, Xiaojie Yuan |
| 2018 | Medusa: Towards Simulating a Multi-Agent Hide-and-Seek Game. Akshat Tandon, Kamalakar Karlapalem |
| 2018 | Memory Attention Networks for Skeleton-based Action Recognition. Chunyu Xie, Ce Li, Baochang Zhang, Chen Chen, Jungong Han, Jianzhuang Liu |
| 2018 | Mental Health Computing via Harvesting Social Media Data. Jia Jia |
| 2018 | Meta-Level Control of Anytime Algorithms with Online Performance Prediction. Justin Svegliato, Kyle Hollins Wray, Shlomo Zilberstein |
| 2018 | Metadata-dependent Infinite Poisson Factorization for Efficiently Modelling Sparse and Large Matrices in Recommendation. Trong Dinh Thac Do, Longbing Cao |
| 2018 | Methods for off-line/on-line optimization under uncertainty. Allegra De Filippo, Michele Lombardi, Michela Milano |
| 2018 | Minimax-Regret Querying on Side Effects for Safe Optimality in Factored Markov Decision Processes. Shun Zhang, Edmund H. Durfee, Satinder Singh |
| 2018 | Minimizing Adaptive Regret with One Gradient per Iteration. Guanghui Wang, Dakuan Zhao, Lijun Zhang |
| 2018 | Mining Streaming and Temporal Data: from Representation to Knowledge. Xiangliang Zhang |
| 2018 | Mitigating the Effect of Out-of-Vocabulary Entity Pairs in Matrix Factorization for KB Inference. Prachi Jain, Shikhar Murty, Mausam, Soumen Chakrabarti |
| 2018 | Mixed Causal Structure Discovery with Application to Prescriptive Pricing. Wenjuan Wei, Lu Feng, Chunchen Liu |
| 2018 | Mixed Link Networks. Wenhai Wang, Xiang Li, Tong Lu, Jian Yang |
| 2018 | Mixture of GANs for Clustering. Yang Yu, Wen-Ji Zhou |
| 2018 | Model Checking Probabilistic Epistemic Logic for Probabilistic Multiagent Systems. Chen Fu, Andrea Turrini, Xiaowei Huang, Lei Song, Yuan Feng, Lijun Zhang |
| 2018 | Model-free, Model-based, and General Intelligence. Hector Geffner |
| 2018 | Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation. Duc-Trong Le, Hady W. Lauw, Yuan Fang |
| 2018 | Modeling the Assimilation-Contrast Effects in Online Product Rating Systems: Debiasing and Recommendations. Xiaoying Zhang, Hong Xie, Junzhou Zhao, John C. S. Lui |
| 2018 | Multi-Agent Election-Based Hyper-Heuristics. Vinicius Renan de Carvalho, Jaime Simão Sichman |
| 2018 | Multi-Agent Path Finding with Deadlines. Hang Ma, Glenn Wagner, Ariel Felner, Jiaoyang Li, T. K. Satish Kumar, Sven Koenig |
| 2018 | Multi-Label Co-Training. Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang |
| 2018 | Multi-Level Metric Learning via Smoothed Wasserstein Distance. Jie Xu, Lei Luo, Cheng Deng, Heng Huang |
| 2018 | Multi-Level Policy and Reward Reinforcement Learning for Image Captioning. Anan Liu, Ning Xu, Hanwang Zhang, Weizhi Nie, Yuting Su, Yongdong Zhang |
| 2018 | Multi-Objective Optimization Through Pareto Minimal Correction Subsets. Miguel Terra-Neves, Inês Lynce, Vasco Manquinho |
| 2018 | Multi-Robot Motion Planning with Dynamics Guided by Multi-Agent Search. Duong Le, Erion Plaku |
| 2018 | Multi-Sensor Mobile Platform for the Recognition of Activities of Daily Living and their Environments based on Artificial Neural Networks. Ivan Miguel Pires, Nuno Pombo, Nuno M. Garcia, Francisco Flórez-Revuelta |
| 2018 | Multi-Task Clustering with Model Relation Learning. Xiaotong Zhang, Xianchao Zhang, Han Liu, Jiebo Luo |
| 2018 | Multi-Turn Video Question Answering via Multi-Stream Hierarchical Attention Context Network. Zhou Zhao, Xinghua Jiang, Deng Cai, Jun Xiao, Xiaofei He, Shiliang Pu |
| 2018 | Multi-agent Epistemic Planning with Common Knowledge. Qiang Liu, Yongmei Liu |
| 2018 | Multi-modal Circulant Fusion for Video-to-Language and Backward. Aming Wu, Yahong Han |
| 2018 | Multi-modal Predicate Identification using Dynamically Learned Robot Controllers. Saeid Amiri, Suhua Wei, Shiqi Zhang, Jivko Sinapov, Jesse Thomason, Peter Stone |
| 2018 | Multi-modal Sentence Summarization with Modality Attention and Image Filtering. Haoran Li, Junnan Zhu, Tianshang Liu, Jiajun Zhang, Chengqing Zong |
| 2018 | Multi-modality Sensor Data Classification with Selective Attention. Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang |
| 2018 | Multi-scale and Discriminative Part Detectors Based Features for Multi-label Image Classification. Gong Cheng, Decheng Gao, Yang Liu, Junwei Han |
| 2018 | Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks. Yue Xu, Fei Yin, Zhaoxiang Zhang, Cheng-Lin Liu |
| 2018 | Multinomial Logit Bandit with Linear Utility Functions. Mingdong Ou, Nan Li, Shenghuo Zhu, Rong Jin |
| 2018 | Multiway Attention Networks for Modeling Sentence Pairs. Chuanqi Tan, Furu Wei, Wenhui Wang, Weifeng Lv, Ming Zhou |
| 2018 | Multiwinner Voting with Fairness Constraints. L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi |
| 2018 | Multiwinner Voting with Restricted Admissible Sets: Complexity and Strategyproofness. Yongjie Yang, Jianxin Wang |
| 2018 | NPE: Neural Personalized Embedding for Collaborative Filtering. ThaiBinh Nguyen, Atsuhiro Takasu |
| 2018 | Natural Language Understanding: Instructions for (Present and Future) Use. Roberto Navigli |
| 2018 | Near Real-Time Detection of Poachers from Drones in AirSim. Elizabeth Bondi, Ashish Kapoor, Debadeepta Dey, James Piavis, Shital Shah, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe |
| 2018 | Negotiation Strategies for Agents with Ordinal Preferences. Sefi Erlich, Noam Hazon, Sarit Kraus |
| 2018 | Network Approximation using Tensor Sketching. Shiva Prasad Kasiviswanathan, Nina Narodytska, Hongxia Jin |
| 2018 | NeuCast: Seasonal Neural Forecast of Power Grid Time Series. Pudi Chen, Shenghua Liu, Chuan Shi, Bryan Hooi, Bai Wang, Xueqi Cheng |
| 2018 | NeuRec: On Nonlinear Transformation for Personalized Ranking. Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong |
| 2018 | Neural Framework for Joint Evolution Modeling of User Feedback and Social Links in Dynamic Social Networks. Peizhi Wu, Yi Tu, Xiaojie Yuan, Adam Jatowt, Zhenglu Yang |
| 2018 | Neural Machine Translation with Key-Value Memory-Augmented Attention. Fandong Meng, Zhaopeng Tu, Yong Cheng, Haiyang Wu, Junjie Zhai, Yuekui Yang, Di Wang |
| 2018 | Neural Networks Incorporating Unlabeled and Partially-labeled Data for Cross-domain Chinese Word Segmentation. Lujun Zhao, Qi Zhang, Peng Wang, Xiaoyu Liu |
| 2018 | Neural Networks for Predicting Algorithm Runtime Distributions. Katharina Eggensperger, Marius Lindauer, Frank Hutter |
| 2018 | Neural User Response Generator: Fake News Detection with Collective User Intelligence. Feng Qian, Chengyue Gong, Karishma Sharma, Yan Liu |
| 2018 | New Balanced Active Learning Model and Optimization Algorithm. Xiaoqian Wang, Yijun Huang, Ji Liu, Heng Huang |
| 2018 | Non-decreasing Payment Rules for Combinatorial Auctions. Vitor Bosshard, Ye Wang, Sven Seuken |
| 2018 | Non-translational Alignment for Multi-relational Networks. Shengnan Li, Xin Li, Rui Ye, Mingzhong Wang, Haiping Su, Yingzi Ou |
| 2018 | Nonrigid Points Alignment with Soft-weighted Selection. Xuelong Li, Jian Yang, Qi Wang |
| 2018 | Novel Algorithms for Abstract Dialectical Frameworks based on Complexity Analysis of Subclasses and SAT Solving. Thomas Linsbichler, Marco Maratea, Andreas Niskanen, Johannes P. Wallner, Stefan Woltran |
| 2018 | Novel Structural Parameters for Acyclic Planning Using Tree Embeddings. Christer Bäckström, Peter Jonsson, Sebastian Ordyniak |
| 2018 | On Concept Forgetting in Description Logics with Qualified Number Restrictions. Yizheng Zhao, Renate A. Schmidt |
| 2018 | On Fair Price Discrimination in Multi-Unit Markets. Michele Flammini, Manuel Mauro, Matteo Tonelli |
| 2018 | On Q-learning Convergence for Non-Markov Decision Processes. Sultan Javed Majeed, Marcus Hutter |
| 2018 | On Robust Trimming of Bayesian Network Classifiers. YooJung Choi, Guy Van den Broeck |
| 2018 | On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach. Sriraam Natarajan, Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac |
| 2018 | On a Scientific Discipline (Once) Named AI. Wolfgang Bibel |
| 2018 | On the Complexity of Chore Division. Alireza Farhadi, MohammadTaghi Hajiaghayi |
| 2018 | On the Conditional Logic of Simulation Models. Duligur Ibeling, Thomas Icard |
| 2018 | On the Convergence Properties of a K-step Averaging Stochastic Gradient Descent Algorithm for Nonconvex Optimization. Fan Zhou, Guojing Cong |
| 2018 | On the Cost Complexity of Crowdsourcing. Yili Fang, Hailong Sun, Pengpeng Chen, Jinpeng Huai |
| 2018 | On the Efficiency of Data Collection for Crowdsourced Classification. Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings |
| 2018 | On the Equivalence between Assumption-Based Argumentation and Logic Programming (Extended Abstract). Martin Caminada, Claudia Schulz |
| 2018 | On the Logical Properties of the Description Logic DL^N (Extended abstract). Piero A. Bonatti, Luigi Sauro |
| 2018 | On the Satisfiability Threshold of Random Community-Structured SAT. Dina Barak-Pelleg, Daniel Berend |
| 2018 | One "Ruler" for All Languages: Multi-Lingual Dialogue Evaluation with Adversarial Multi-Task Learning. Xiaowei Tong, Zhenxin Fu, Mingyue Shang, Dongyan Zhao, Rui Yan |
| 2018 | Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes. Hongteng Xu, Dixin Luo, Lawrence Carin |
| 2018 | Online Deep Learning: Learning Deep Neural Networks on the Fly. Doyen Sahoo, Quang Pham, Jing Lu, Steven C. H. Hoi |
| 2018 | Online Heterogeneous Transfer Metric Learning. Yong Luo, Tongliang Liu, Yonggang Wen, Dacheng Tao |
| 2018 | Online Kernel Selection via Incremental Sketched Kernel Alignment. Xiao Zhang, Shizhong Liao |
| 2018 | Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations. Weichao Mao, Zhenzhe Zheng, Fan Wu, Guihai Chen |
| 2018 | Online, Interactive User Guidance for High-dimensional, Constrained Motion Planning. Fahad Islam, Oren Salzman, Maxim Likhachev |
| 2018 | Ontology-Based Data Access: A Survey. Guohui Xiao, Diego Calvanese, Roman Kontchakov, Domenico Lembo, Antonella Poggi, Riccardo Rosati, Michael Zakharyaschev |
| 2018 | Open Loop Execution of Tree-Search Algorithms. Erwan Lecarpentier, Guillaume Infantes, Charles Lesire, Emmanuel Rachelson |
| 2018 | Open-Ended Long-form Video Question Answering via Adaptive Hierarchical Reinforced Networks. Zhou Zhao, Zhu Zhang, Shuwen Xiao, Zhou Yu, Jun Yu, Deng Cai, Fei Wu, Yueting Zhuang |
| 2018 | Operator Counting Heuristics for Probabilistic Planning. Felipe W. Trevizan, Sylvie Thiébaux, Patrik Haslum |
| 2018 | Opinion Diffusion and Campaigning on Society Graphs. Piotr Faliszewski, Rica Gonen, Martin Koutecký, Nimrod Talmon |
| 2018 | Optimal Bidding Strategy for Brand Advertising. Takanori Maehara, Atsuhiro Narita, Jun Baba, Takayuki Kawabata |
| 2018 | Optimal Cruiser-Drone Traffic Enforcement Under Energy Limitation. Ariel Rosenfeld, Oleg Maksimov, Sarit Kraus |
| 2018 | Optimal Multi-Attribute Decision Making in Social Choice Problems. Sujoy Sikdar |
| 2018 | Optimal Multi-robot Task Planning: from Synthesis to Execution (and Back). Francesco Leofante |
| 2018 | Optimization based Layer-wise Magnitude-based Pruning for DNN Compression. Guiying Li, Chao Qian, Chunhui Jiang, Xiaofen Lu, Ke Tang |
| 2018 | Orchestrating a Network of Mereotopological Theories: An Abridged Report. C. Maria Keet, Oliver Kutz |
| 2018 | Organizing Experience: a Deeper Look at Replay Mechanisms for Sample-Based Planning in Continuous State Domains. Yangchen Pan, Muhammad Zaheer, Adam White, Andrew Patterson, Martha White |
| 2018 | Outer Product-based Neural Collaborative Filtering. Xiangnan He, Xiaoyu Du, Xiang Wang, Feng Tian, Jinhui Tang, Tat-Seng Chua |
| 2018 | PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making. Fangkai Yang, Daoming Lyu, Bo Liu, Steven Gustafson |
| 2018 | PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training. Wei Zhao, Benyou Wang, Jianbo Ye, Yongqiang Gao, Min Yang, Xiaojun Chen |
| 2018 | Pairwise Liquid Democracy. Markus Brill, Nimrod Talmon |
| 2018 | Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction. Zhi Qiao, Shiwan Zhao, Cao Xiao, Xiang Li, Yong Qin, Fei Wang |
| 2018 | Parameterised Queries and Lifted Query Answering. Tanya Braun, Ralf Möller |
| 2018 | Partakable Technology. Nardine Osman |
| 2018 | Patent Litigation Prediction: A Convolutional Tensor Factorization Approach. Qi Liu, Han Wu, Yuyang Ye, Hongke Zhao, Chuanren Liu, Dongfang Du |
| 2018 | Path Evaluation and Centralities in Weighted Graphs - An Axiomatic Approach. Jadwiga Sosnowska, Oskar Skibski |
| 2018 | Payoff Control in the Iterated Prisoner's Dilemma. Dong Hao, Kai Li, Tao Zhou |
| 2018 | Periodic-CRN: A Convolutional Recurrent Model for Crowd Density Prediction with Recurring Periodic Patterns. Ali Zonoozi, Jung-Jae Kim, Xiao-Li Li, Gao Cong |
| 2018 | Personality-Aware Personalized Emotion Recognition from Physiological Signals. Sicheng Zhao, Guiguang Ding, Jungong Han, Yue Gao |
| 2018 | Phrase Table as Recommendation Memory for Neural Machine Translation. Yang Zhao, Yining Wang, Jiajun Zhang, Chengqing Zong |
| 2018 | Planning and Learning with Stochastic Action Sets. Craig Boutilier, Alon Cohen, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans |
| 2018 | Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models. Buser Say, Scott Sanner |
| 2018 | Point Set Registration for Unsupervised Bilingual Lexicon Induction. Hailong Cao, Tiejun Zhao |
| 2018 | Policy Optimization with Second-Order Advantage Information. Jiajin Li, Baoxiang Wang, Shengyu Zhang |
| 2018 | Positive and Unlabeled Learning for Detecting Software Functional Clones with Adversarial Training. Huihui Wei, Ming Li |
| 2018 | Positive and Unlabeled Learning via Loss Decomposition and Centroid Estimation. Hong Shi, Shaojun Pan, Jian Yang, Chen Gong |
| 2018 | Possibilistic ASP Base Revision by Certain Input. Laurent Garcia, Claire Lefèvre, Odile Papini, Igor Stéphan, Éric Würbel |
| 2018 | Power-law Distribution Aware Trust Prediction. Xiao Wang, Ziwei Zhang, Jing Wang, Peng Cui, Shiqiang Yang |
| 2018 | PredCNN: Predictive Learning with Cascade Convolutions. Ziru Xu, Yunbo Wang, Mingsheng Long, Jianmin Wang |
| 2018 | Predicting Activity and Location with Multi-task Context Aware Recurrent Neural Network. Dongliang Liao, Weiqing Liu, Yuan Zhong, Jing Li, Guowei Wang |
| 2018 | Predicting Complex Activities from Ongoing Multivariate Time Series. Weihao Cheng, Sarah M. Erfani, Rui Zhang, Ramamohanarao Kotagiri |
| 2018 | Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data. Yingzi Wang, Xiao Zhou, Anastasios Noulas, Cecilia Mascolo, Xing Xie, Enhong Chen |
| 2018 | Preference Orders on Families of Sets - When Can Impossibility Results Be Avoided? Jan Maly, Miroslaw Truszczynski, Stefan Woltran |
| 2018 | Preference-Based Inconsistency Management in Multi-Context Systems (Extended Abstract). Thomas Eiter, Antonius Weinzierl |
| 2018 | Preventing Disparate Treatment in Sequential Decision Making. Hoda Heidari, Andreas Krause |
| 2018 | Prime Implicate Generation in Equational Logic (extended abstract). Mnacho Echenim, Nicolas Peltier, Sophie Tourret |
| 2018 | Probabilistic Machine Learning: Models, Algorithms and a Programming Library. Jun Zhu |
| 2018 | Probabilistic Verification for Obviously Strategyproof Mechanisms. Diodato Ferraioli, Carmine Ventre |
| 2018 | Probabilistic bipolar abstract argumentation frameworks: complexity results. Bettina Fazzinga, Sergio Flesca, Filippo Furfaro |
| 2018 | Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden. Jérôme Lang |
| 2018 | Progressive Blockwise Knowledge Distillation for Neural Network Acceleration. Hui Wang, Hanbin Zhao, Xi Li, Xu Tan |
| 2018 | Progressive Generative Hashing for Image Retrieval. Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu |
| 2018 | Pseudo-Boolean Constraints from a Knowledge Representation Perspective. Daniel Le Berre, Pierre Marquis, Stefan Mengel, Romain Wallon |
| 2018 | Pyconstruct: Constraint Programming Meets Structured Prediction. Paolo Dragone, Stefano Teso, Andrea Passerini |
| 2018 | Quality Matters: Assessing cQA Pair Quality via Transductive Multi-View Learning. Xiaochi Wei, Heyan Huang, Liqiang Nie, Fuli Feng, Richang Hong, Tat-Seng Chua |
| 2018 | Quantifying Algorithmic Improvements over Time. Lars Kotthoff, Alexandre Fréchette, Tomasz P. Michalak, Talal Rahwan, Holger H. Hoos, Kevin Leyton-Brown |
| 2018 | Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization. Yuxuan Du, Tongliang Liu, Yinan Li, Runyao Duan, Dacheng Tao |
| 2018 | Query Answering in Propositional Circumscription. Mario Alviano |
| 2018 | R-SVM+: Robust Learning with Privileged Information. Xue Li, Bo Du, Chang Xu, Yipeng Zhang, Lefei Zhang, Dacheng Tao |
| 2018 | Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm (Extended Abstract). Yury Maximov, Massih-Reza Amini, Zaïd Harchaoui |
| 2018 | Ranking Preserving Nonnegative Matrix Factorization. Jing Wang, Feng Tian, Weiwei Liu, Xiao Wang, Wenjie Zhang, Kenji Yamanishi |
| 2018 | Reachability Analysis of Deep Neural Networks with Provable Guarantees. Wenjie Ruan, Xiaowei Huang, Marta Kwiatkowska |
| 2018 | Readitopics: Make Your Topic Models Readable via Labeling and Browsing. Julien Velcin, Antoine Gourru, Erwan Giry-Fouquet, Christophe Gravier, Mathieu Roche, Pascal Poncelet |
| 2018 | Real-time Traffic Pattern Analysis and Inference with Sparse Video Surveillance Information. Yang Wang, Yiwei Xiao, Xike Xie, Ruoyu Chen, Hengchang Liu |
| 2018 | Reasoning about Betweenness and RCC8 Constraints in Qualitative Conceptual Spaces. Steven Schockaert, Sanjiang Li |
| 2018 | Reasoning about Consensus when Opinions Diffuse through Majority Dynamics. Vincenzo Auletta, Diodato Ferraioli, Gianluigi Greco |
| 2018 | Reasoning about NP-complete Constraints. Emmanuel Hebrard |
| 2018 | Recent Advances in Querying Probabilistic Knowledge Bases. Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz |
| 2018 | Recommendation with Multi-Source Heterogeneous Information. Li Gao, Hong Yang, Jia Wu, Chuan Zhou, Weixue Lu, Yue Hu |
| 2018 | Recurrent Collaborative Filtering for Unifying General and Sequential Recommender. Disheng Dong, Xiaolin Zheng, Ruixun Zhang, Yan Wang |
| 2018 | Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid. Yaodong Yang, Jianye Hao, Mingyang Sun, Zan Wang, Changjie Fan, Goran Strbac |
| 2018 | Recursive Spoken Instruction-Based One-Shot Object and Action Learning. Matthias Scheutz, Evan A. Krause, Bradley Oosterveld, Tyler M. Frasca, Robert Platt Jr. |
| 2018 | Redividing the Cake. Erel Segal-Halevi |
| 2018 | Reduced Cost Fixing for Maximum Satisfiability. Fahiem Bacchus, Antti Hyttinen, Matti Järvisalo, Paul Saikko |
| 2018 | Reducing Controversy by Connecting Opposing Views. Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis |
| 2018 | Redundancy-resistant Generative Hashing for Image Retrieval. Changying Du, Xingyu Xie, Changde Du, Hao Wang |
| 2018 | Refine or Represent: Residual Networks with Explicit Channel-wise Configuration. Yanyan Shen, Jinyang Gao |
| 2018 | Regularizing Deep Neural Networks with an Ensemble-based Decorrelation Method. Shuqin Gu, Yuexian Hou, Lipeng Zhang, Yazhou Zhang |
| 2018 | Reinforced Mnemonic Reader for Machine Reading Comprehension. Minghao Hu, Yuxing Peng, Zhen Huang, Xipeng Qiu, Furu Wei, Ming Zhou |
| 2018 | Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling. Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang, Chengqi Zhang |
| 2018 | Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation. Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng |
| 2018 | Relevance in Structured Argumentation. Annemarie Borg, Christian Straßer |
| 2018 | Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty. Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson, Eyke Hüllermeier |
| 2018 | Repairing ASR output by Artificial Development and Ontology based Learning. C. Anantaram, Amit Sangroya, Mrinal Rawat, Aishwarya Chhabra |
| 2018 | Replicating Active Appearance Model by Generator Network. Tian Han, Jiawen Wu, Ying Nian Wu |
| 2018 | Representation Learning for Scene Graph Completion via Jointly Structural and Visual Embedding. Hai Wan, Yonghao Luo, Bo Peng, Wei-Shi Zheng |
| 2018 | Representing Urban Functions through Zone Embedding with Human Mobility Patterns. Zijun Yao, Yanjie Fu, Bin Liu, Wangsu Hu, Hui Xiong |
| 2018 | Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels. Shujian Yu, Xiaoyang Wang, José C. Príncipe |
| 2018 | Restricted Communication in Online Multi-Robot Exploration. Elizabeth A. Jensen |
| 2018 | Rethinking Diversified and Discriminative Proposal Generation for Visual Grounding. Zhou Yu, Jun Yu, Chenchao Xiang, Zhou Zhao, Qi Tian, Dacheng Tao |
| 2018 | Reverse Engineering Queries in Ontology-Enriched Systems: The Case of Expressive Horn Description Logic Ontologies. Víctor Gutiérrez-Basulto, Jean Christoph Jung, Leif Sabellek |
| 2018 | Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents (Extended Abstract). Marlos C. Machado, Marc G. Bellemare, Erik Talvitie, Joel Veness, Matthew J. Hausknecht, Michael Bowling |
| 2018 | Robot Task Interruption by Learning to Switch Among Multiple Models. Anahita Mohseni-Kabir, Manuela M. Veloso |
| 2018 | Robust Auto-Weighted Multi-View Clustering. Pengzhen Ren, Yun Xiao, Pengfei Xu, Jun Guo, Xiaojiang Chen, Xin Wang, Dingyi Fang |
| 2018 | Robust Face Sketch Synthesis via Generative Adversarial Fusion of Priors and Parametric Sigmoid. Shengchuan Zhang, Rongrong Ji, Jie Hu, Yue Gao, Chia-Wen Lin |
| 2018 | Robust Feature Selection on Incomplete Data. Wei Zheng, Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang |
| 2018 | Robust Graph Dimensionality Reduction. Xiaofeng Zhu, Cong Lei, Hao Yu, Yonggang Li, Jiangzhang Gan, Shichao Zhang |
| 2018 | Robust Multi-view Learning via Half-quadratic Minimization. Yonghua Zhu, Xiaofeng Zhu, Wei Zheng |
| 2018 | Robust Multi-view Representation: A Unified Perspective from Multi-view Learning to Domain Adaption. Zhengming Ding, Ming Shao, Yun Fu |
| 2018 | Robust Norm Emergence by Revealing and Reasoning about Context: Socially Intelligent Agents for Enhancing Privacy. Nirav Ajmeri, Hui Guo, Pradeep K. Murukannaiah, Munindar P. Singh |
| 2018 | R³Net: Recurrent Residual Refinement Network for Saliency Detection. Zijun Deng, Xiaowei Hu, Lei Zhu, Xuemiao Xu, Jing Qin, Guoqiang Han, Pheng-Ann Heng |
| 2018 | SDMCH: Supervised Discrete Manifold-Embedded Cross-Modal Hashing. Xin Luo, Xiao-Ya Yin, Liqiang Nie, Xuemeng Song, Yongxin Wang, Xin-Shun Xu |
| 2018 | SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation. Tsun-Yi Yang, Yi-Hsuan Huang, Yen-Yu Lin, Pi-Cheng Hsiu, Yung-Yu Chuang |
| 2018 | SafeNet: Scale-normalization and Anchor-based Feature Extraction Network for Person Re-identification. Kun Yuan, Qian Zhang, Chang Huang, Shiming Xiang, Chunhong Pan |
| 2018 | Salient Object Detection by Lossless Feature Reflection. Pingping Zhang, Wei Liu, Huchuan Lu, Chunhua Shen |
| 2018 | Same Representation, Different Attentions: Shareable Sentence Representation Learning from Multiple Tasks. Renjie Zheng, Jun-Kun Chen, Xipeng Qiu |
| 2018 | Sampling for Approximate Bipartite Network Projection. Nesreen K. Ahmed, Nick G. Duffield, Liangzhen Xia |
| 2018 | Scalable Initial State Interdiction for Factored MDPs. Swetasudha Panda, Yevgeniy Vorobeychik |
| 2018 | Scalable Multiplex Network Embedding. Hongming Zhang, Liwei Qiu, Lingling Yi, Yangqiu Song |
| 2018 | Scalable Probabilistic Causal Structure Discovery. Dhanya Sridhar, Jay Pujara, Lise Getoor |
| 2018 | Scalable Rule Learning via Learning Representation. Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang |
| 2018 | Scanpath Prediction for Visual Attention using IOR-ROI LSTM. Zhenzhong Chen, Wanjie Sun |
| 2018 | Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents. Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang |
| 2018 | Scheduling under Uncertainty: A Query-based Approach. Luciana Arantes, Evripidis Bampis, Alexander V. Kononov, Manthos Letsios, Giorgio Lucarelli, Pierre Sens |
| 2018 | Search Progress and Potentially Expanded States in Greedy Best-First Search. Manuel Heusner, Thomas Keller, Malte Helmert |
| 2018 | Seeking Practical CDCL Insights from Theoretical SAT Benchmarks. Jan Elffers, Jesús Giráldez-Cru, Stephan Gocht, Jakob Nordström, Laurent Simon |
| 2018 | SegBot: A Generic Neural Text Segmentation Model with Pointer Network. Jing Li, Aixin Sun, Shafiq R. Joty |
| 2018 | Self-Adaptive Double Bootstrapped DDPG. Zhuobin Zheng, Chun Yuan, Zhihui Lin, Yangyang Cheng, Hanghao Wu |
| 2018 | Self-Representative Manifold Concept Factorization with Adaptive Neighbors for Clustering. Sihan Ma, Lefei Zhang, Wenbin Hu, Yipeng Zhang, Jia Wu, Xuelong Li |
| 2018 | Self-Supervised Deep Low-Rank Assignment Model for Prototype Selection. Xingxing Zhang, Zhenfeng Zhu, Yao Zhao, Deqiang Kong |
| 2018 | Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification. Zhao Kang, Xiao Lu, Jinfeng Yi, Zenglin Xu |
| 2018 | Semantic Locality-Aware Deformable Network for Clothing Segmentation. Wei Ji, Xi Li, Yueting Zhuang, Omar El Farouk Bourahla, Yixin Ji, Shihao Li, Jiabao Cui |
| 2018 | Semantic Representation of Data Science Programs. Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney |
| 2018 | Semantic Structure-based Unsupervised Deep Hashing. Erkun Yang, Cheng Deng, Tongliang Liu, Wei Liu, Dacheng Tao |
| 2018 | Semi-Supervised Multi-Modal Learning with Incomplete Modalities. Yang Yang, De-Chuan Zhan, Xiang-Rong Sheng, Yuan Jiang |
| 2018 | Semi-Supervised Optimal Margin Distribution Machines. Teng Zhang, Zhi-Hua Zhou |
| 2018 | Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation. Yuguang Yan, Wen Li, Hanrui Wu, Huaqing Min, Mingkui Tan, Qingyao Wu |
| 2018 | SentiGAN: Generating Sentimental Texts via Mixture Adversarial Networks. Ke Wang, Xiaojun Wan |
| 2018 | Sequence Selection by Pareto Optimization. Chao Qian, Chao Feng, Ke Tang |
| 2018 | Sequential Recommender System based on Hierarchical Attention Networks. Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, Jian Wu |
| 2018 | Service Exchange Problem. Julien Lesca, Taiki Todo |
| 2018 | Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks. Yunpeng Chen, Xiaojie Jin, Bingyi Kang, Jiashi Feng, Shuicheng Yan |
| 2018 | Show and Tell More: Topic-Oriented Multi-Sentence Image Captioning. Yuzhao Mao, Chang Zhou, Xiaojie Wang, Ruifan Li |
| 2018 | Show, Observe and Tell: Attribute-driven Attention Model for Image Captioning. Hui Chen, Guiguang Ding, Zijia Lin, Sicheng Zhao, Jungong Han |
| 2018 | Siamese CNN-BiLSTM Architecture for 3D Shape Representation Learning. Guoxian Dai, Jin Xie, Yi Fang |
| 2018 | Similarity-Based Reasoning, Raven's Matrices, and General Intelligence. Can Serif Mekik, Ron Sun, David Yun Dai |
| 2018 | Simpler and Faster Algorithm for Checking the Dynamic Consistency of Conditional Simple Temporal Networks. Luke Hunsberger, Roberto Posenato |
| 2018 | Simultaneous Clustering and Ranking from Pairwise Comparisons. Jiyi Li, Yukino Baba, Hisashi Kashima |
| 2018 | Single-Shot Epistemic Logic Program Solving. Manuel Bichler, Michael Morak, Stefan Woltran |
| 2018 | Small Undecidable Problems in Epistemic Planning. Sébastien Lê Cong, Sophie Pinchinat, François Schwarzentruber |
| 2018 | Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels. Gundeep Arora, Anupreet Porwal, Kanupriya Agarwal, Avani Samdariya, Piyush Rai |
| 2018 | Smarter Response with Proactive Suggestion: A New Generative Neural Conversation Paradigm. Rui Yan, Dongyan Zhao |
| 2018 | Social Media based Simulation Models for Understanding Disease Dynamics. Ting Hua, Chandan K. Reddy, Lei Zhang, Lijing Wang, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan |
| 2018 | Socially Motivated Partial Cooperation in Multi-agent Local Search. Tal Ze'evi, Roie Zivan, Omer Lev |
| 2018 | Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks. Yang He, Guoliang Kang, Xuanyi Dong, Yanwei Fu, Yi Yang |
| 2018 | Solving (Weighted) Partial MaxSAT by Dynamic Local Search for SAT. Zhendong Lei, Shaowei Cai |
| 2018 | Solving Exist-Random Quantified Stochastic Boolean Satisfiability via Clause Selection. Nian-Ze Lee, Yen-Shi Wang, Jie-Hong R. Jiang |
| 2018 | Solving Multi-Agent Path Finding on Strongly Biconnected Digraphs (Extended Abstract). Adi Botea, Davide Bonusi, Pavel Surynek |
| 2018 | Solving Patrolling Problems in the Internet Environment. Tomás Brázdil, Antonín Kucera, Vojtech Rehák |
| 2018 | Solving Separable Nonsmooth Problems Using Frank-Wolfe with Uniform Affine Approximations. Edward Cheung, Yuying Li |
| 2018 | Solving Sudoku with Consistency: A Visual and Interactive Approach. Ian Howell, Robert J. Woodward, Berthe Y. Choueiry, Christian Bessiere |
| 2018 | Spatio-Temporal Check-in Time Prediction with Recurrent Neural Network based Survival Analysis. Guolei Yang, Ying Cai, Chandan K. Reddy |
| 2018 | Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting. Bing Yu, Haoteng Yin, Zhanxing Zhu |
| 2018 | Spectral Feature Scaling Method for Supervised Dimensionality Reduction. Momo Matsuda, Keiichi Morikuni, Tetsuya Sakurai |
| 2018 | StackDRL: Stacked Deep Reinforcement Learning for Fine-grained Visual Categorization. Xiangteng He, Yuxin Peng, Junjie Zhao |
| 2018 | Stackelberg Security Games: Looking Beyond a Decade of Success. Arunesh Sinha, Fei Fang, Bo An, Christopher Kiekintveld, Milind Tambe |
| 2018 | Statistical Quality Control for Human Computation and Crowdsourcing. Yukino Baba |
| 2018 | Stochastic Anytime Search for Bounding Marginal MAP. Radu Marinescu, Rina Dechter, Alexander Ihler |
| 2018 | Stochastic Fractional Hamiltonian Monte Carlo. Nanyang Ye, Zhanxing Zhu |
| 2018 | Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models. Hongchang Gao, Heng Huang |
| 2018 | Strategyproof and Fair Matching Mechanism for Union of Symmetric M-convex Constraints. Yuzhe Zhang, Kentaro Yahiro, Nathanaël Barrot, Makoto Yokoo |
| 2018 | Stratification for Constraint-Based Multi-Objective Combinatorial Optimization. Miguel Terra-Neves, Inês Lynce, Vasco Manquinho |
| 2018 | Stratified Negation in Limit Datalog Programs. Mark Kaminski, Bernardo Cuenca Grau, Egor V. Kostylev, Boris Motik, Ian Horrocks |
| 2018 | Structured Inference for Recurrent Hidden Semi-markov Model. Hao Liu, Lirong He, Haoli Bai, Bo Dai, Kun Bai, Zenglin Xu |
| 2018 | Student-t Variational Autoencoder for Robust Density Estimation. Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi |
| 2018 | Submodularity-Inspired Data Selection for Goal-Oriented Chatbot Training Based on Sentence Embeddings. Mladen Dimovski, Claudiu Musat, Vladimir Ilievski, Andreea Hossmann, Michael Baeriswyl |
| 2018 | Summarizing Source Code with Transferred API Knowledge. Xing Hu, Ge Li, Xin Xia, David Lo, Shuai Lu, Zhi Jin |
| 2018 | Symbolic Synthesis of Fault-Tolerance Ratios in Parameterised Multi-Agent Systems. Panagiotis Kouvaros, Alessio Lomuscio, Edoardo Pirovano |
| 2018 | SynKit: LTL Synthesis as a Service. Alberto Camacho, Christian J. Muise, Jorge A. Baier, Sheila A. McIlraith |
| 2018 | Synthesis of Controllable Nash Equilibria in Quantitative Objective Game. Shaull Almagor, Orna Kupferman, Giuseppe Perelli |
| 2018 | Synthesizing Pattern Programs from Examples. Sunbeom So, Hakjoo Oh |
| 2018 | Systems AI: A Declarative Learning Based Programming Perspective. Parisa Kordjamshidi, Dan Roth, Kristian Kersting |
| 2018 | Tag-based Weakly-supervised Hashing for Image Retrieval. Ziyu Guan, Fei Xie, Wanqing Zhao, Xiaopeng Wang, Long Chen, Wei Zhao, Jinye Peng |
| 2018 | Tamper-Proof Privacy Auditing for Artificial Intelligence Systems. Andrew Sutton, Reza Samavi |
| 2018 | Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference. Chuxu Zhang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla |
| 2018 | Teaching Machines to Ask Questions. Kaichun Yao, Libo Zhang, Tiejian Luo, Lili Tao, Yanjun Wu |
| 2018 | Teaching Semi-Supervised Classifier via Generalized Distillation. Chen Gong, Xiaojun Chang, Meng Fang, Jian Yang |
| 2018 | Temporal Belief Memory: Imputing Missing Data during RNN Training. Yeo-Jin Kim, Min Chi |
| 2018 | TensorCast: Forecasting Time-Evolving Networks with Contextual Information. Miguel Araujo, Pedro Manuel Pinto Ribeiro, Christos Faloutsos |
| 2018 | Text Emotion Distribution Learning via Multi-Task Convolutional Neural Network. Yuxiang Zhang, Jiamei Fu, Dongyu She, Ying Zhang, Senzhang Wang, Jufeng Yang |
| 2018 | The Complexity of Limited Belief Reasoning - The Quantifier-Free Case. Yijia Chen, Abdallah Saffidine, Christoph Schwering |
| 2018 | The Facets of Artificial Intelligence: A Framework to Track the Evolution of AI. Fernando Martínez-Plumed, Bao Sheng Loe, Peter A. Flach, Seán Ó hÉigeartaigh, Karina Vold, José Hernández-Orallo |
| 2018 | The FastMap Algorithm for Shortest Path Computations. Liron Cohen, Tansel Uras, Shiva Jahangiri, Aliyah Arunasalam, Sven Koenig, T. K. Satish Kumar |
| 2018 | The Finite Model Theory of Bayesian Networks: Descriptive Complexity. Fábio Gagliardi Cozman, Denis Deratani Mauá |
| 2018 | The Intricacies of Three-Valued Extensional Semantics for Higher-Order Logic Programs. Panos Rondogiannis, Ioanna Symeonidou |
| 2018 | The Price of Usability: Designing Operationalizable Strategies for Security Games. Sara Marie McCarthy, Corine M. Laan, Kai Wang, Phebe Vayanos, Arunesh Sinha, Milind Tambe |
| 2018 | The Promise and Perils of Myopia in Dynamic Pricing With Censored Information. Meenal Chhabra, Sanmay Das, Ilya O. Ryzhov |
| 2018 | Think Globally, Embed Locally - Locally Linear Meta-embedding of Words. Danushka Bollegala, Kohei Hayashi, Ken-ichi Kawarabayashi |
| 2018 | Three-Head Neural Network Architecture for Monte Carlo Tree Search. Chao Gao, Martin Müller, Ryan Hayward |
| 2018 | Three-Valued Semantics for Hybrid MKNF Knowledge Bases Revisited (Extended Abstract). Fangfang Liu, Jia-Huai You |
| 2018 | Time Series Chains: A Novel Tool for Time Series Data Mining. Yan Zhu, Makoto Imamura, Daniel Nikovski, Eamonn J. Keogh |
| 2018 | Time-evolving Text Classification with Deep Neural Networks. Yu He, Jianxin Li, Yangqiu Song, Mutian He, Hao Peng |
| 2018 | Toeplitz Inverse Covariance-based Clustering of Multivariate Time Series Data. David Hallac, Sagar Vare, Stephen P. Boyd, Jure Leskovec |
| 2018 | Topic-to-Essay Generation with Neural Networks. Xiaocheng Feng, Ming Liu, Jiahao Liu, Bing Qin, Yibo Sun, Ting Liu |
| 2018 | Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization. Risheng Liu, Shichao Cheng, Yi He, Xin Fan, Zhongxuan Luo |
| 2018 | Toward Diverse Text Generation with Inverse Reinforcement Learning. Zhan Shi, Xinchi Chen, Xipeng Qiu, Xuanjing Huang |
| 2018 | Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach. Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun |
| 2018 | Towards Consumer-Empowering Artificial Intelligence. Giuseppe Contissa, Francesca Lagioia, Marco Lippi, Hans-Wolfgang Micklitz, Przemyslaw Palka, Giovanni Sartor, Paolo Torroni |
| 2018 | Towards Enabling Binary Decomposition for Partial Label Learning. Xuan Wu, Min-Ling Zhang |
| 2018 | Towards Generalized and Efficient Metric Learning on Riemannian Manifold. Pengfei Zhu, Hao Cheng, Qinghua Hu, Qilong Wang, Changqing Zhang |
| 2018 | Towards Human-Engaged AI. Xiaojuan Ma |
| 2018 | Towards Improving the Expressivity and Scalability of Distributed Constraint Optimization Problems. William Yeoh |
| 2018 | Towards Reading Comprehension for Long Documents. Yuanxing Zhang, Yangbin Zhang, Kaigui Bian, Xiaoming Li |
| 2018 | Towards Sample Efficient Reinforcement Learning. Yang Yu |
| 2018 | Tractable (Simple) Contests. Priel Levy, David Sarne, Yonatan Aumann |
| 2018 | Traffic Light Scheduling, Value of Time, and Incentives. Argyrios Deligkas, Erez Karpas, Ron Lavi, Rann Smorodinsky |
| 2018 | Trajectory-User Linking via Variational AutoEncoder. Fan Zhou, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fengli Zhang |
| 2018 | Transformable Convolutional Neural Network for Text Classification. Liqiang Xiao, Honglun Zhang, Wenqing Chen, Yongkun Wang, Yaohui Jin |
| 2018 | Transition-based Adversarial Network for Cross-lingual Aspect Extraction. Wenya Wang, Sinno Jialin Pan |
| 2018 | Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism. Wei Qian, Cong Fu, Yu Zhu, Deng Cai, Xiaofei He |
| 2018 | Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior. Ruining He, Wang-Cheng Kang, Julian J. McAuley |
| 2018 | Translations as Additional Contexts for Sentence Classification. Reinald Kim Amplayo, Kyungjae Lee, Jinyeong Yeo, Seung-won Hwang |
| 2018 | TreeNet: Learning Sentence Representations with Unconstrained Tree Structure. Zhou Cheng, Chun Yuan, Jiancheng Li, Haiqin Yang |
| 2018 | Trembling-Hand Perfection in Extensive-Form Games with Commitment. Gabriele Farina, Alberto Marchesi, Christian Kroer, Nicola Gatti, Tuomas Sandholm |
| 2018 | Tri-net for Semi-Supervised Deep Learning. Dongdong Chen, Wei Wang, Wei Gao, Zhi-Hua Zhou |
| 2018 | Truthful Fair Division without Free Disposal. Xiaohui Bei, Guangda Huzhang, Warut Suksompong |
| 2018 | TuringBox: An Experimental Platform for the Evaluation of AI Systems. Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Casey Jisoo Hong, Bjarke Felbo, Abhimanyu Dubey, Matthew Groh, Nick Obradovich, Manuel Cebrián, Iyad Rahwan |
| 2018 | Two Approaches to Ontology Aggregation Based on Axiom Weakening. Daniele Porello, Nicolas Troquard, Rafael Peñaloza, Roberto Confalonieri, Pietro Galliani, Oliver Kutz |
| 2018 | Two Sides of the Same Coin: Belief Revision and Enforcing Arguments. Adrian Haret, Johannes P. Wallner, Stefan Woltran |
| 2018 | UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits. Fang Liu, Sinong Wang, Swapna Buccapatnam, Ness B. Shroff |
| 2018 | Unary Integer Linear Programming with Structural Restrictions. Eduard Eiben, Robert Ganian, Dusan Knop, Sebastian Ordyniak |
| 2018 | Unbiased Learning-to-Rank with Biased Feedback. Thorsten Joachims, Adith Swaminathan, Tobias Schnabel |
| 2018 | Uncertainty Sampling for Action Recognition via Maximizing Expected Average Precision. Hanmo Wang, Xiaojun Chang, Lei Shi, Yi Yang, Yi-Dong Shen |
| 2018 | Unchaining the Power of Partial Delete Relaxation, Part II: Finding Plans with Red-Black State Space Search. Maximilian Fickert, Daniel Gnad, Jörg Hoffmann |
| 2018 | Understanding Subgoal Graphs by Augmenting Contraction Hierarchies. Tansel Uras, Sven Koenig |
| 2018 | Unifying and Merging Well-trained Deep Neural Networks for Inference Stage. Yi-Min Chou, Yi-Ming Chan, Jia-Hong Lee, Chih-Yi Chiu, Chu-Song Chen |
| 2018 | Unpaired Multi-Domain Image Generation via Regularized Conditional GANs. Xudong Mao, Qing Li |
| 2018 | Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss. Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng-Ann Heng |
| 2018 | Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval. Gengshen Wu, Zijia Lin, Jungong Han, Li Liu, Guiguang Ding, Baochang Zhang, Jialie Shen |
| 2018 | Unsupervised Disentangled Representation Learning with Analogical Relations. Zejian Li, Yongchuan Tang, Yongxing He |
| 2018 | Unsupervised Learning based Jump-Diffusion Process for Object Tracking in Video Surveillance. Xiaobai Liu, Donovan Lo, Chau Thuan |
| 2018 | Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation. Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi |
| 2018 | Using a Deep Learning Dialogue Research Toolkit in a Multilingual Multidomain Practical Application. Graham Wilcock |
| 2018 | Variable-Delay Controllability. Nikhil Bhargava, Christian J. Muise, Brian Charles Williams |
| 2018 | Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling. Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang |
| 2018 | Verifying Emergence of Bounded Time Properties in Probabilistic Swarm Systems. Alessio Lomuscio, Edoardo Pirovano |
| 2018 | Video Captioning with Tube Features. Bin Zhao, Xuelong Li, Xiaoqiang Lu |
| 2018 | View-Volume Network for Semantic Scene Completion from a Single Depth Image. Yuxiao Guo, Xin Tong |
| 2018 | Viewpoint: Artificial Intelligence and Labour. Spyridon Samothrakis |
| 2018 | Virtual-to-Real: Learning to Control in Visual Semantic Segmentation. Zhang-Wei Hong, Yu-Ming Chen, Hsuan-Kung Yang, Shih-Yang Su, Tzu-Yun Shann, Yi-Hsiang Chang, Brian Hsi-Lin Ho, Chih-Chieh Tu, Tsu-Ching Hsiao, Hsin-Wei Hsiao, Sih-Pin Lai, Yueh-Chuan Chang, Chun-Yi Lee |
| 2018 | Visible Thermal Person Re-Identification via Dual-Constrained Top-Ranking. Mang Ye, Zheng Wang, Xiangyuan Lan, Pong C. Yuen |
| 2018 | Visual Data Synthesis via GAN for Zero-Shot Video Classification. Chenrui Zhang, Yuxin Peng |
| 2018 | Visualisation and 'Diagnostic Classifiers' Reveal how Recurrent and Recursive Neural Networks Process Hierarchical Structure (Extended Abstract). Dieuwke Hupkes, Willem H. Zuidema |
| 2018 | Visualizations for an Explainable Planning Agent. Tathagata Chakraborti, Kshitij P. Fadnis, Kartik Talamadupula, Mishal Dholakia, Biplav Srivastava, Jeffrey O. Kephart, Rachel K. E. Bellamy |
| 2018 | Vocabulary Alignment for Collaborative Agents: a Study with Real-World Multilingual How-to Instructions. Paula Daniela Chocron, Paolo Pareti |
| 2018 | Watching a Small Portion could be as Good as Watching All: Towards Efficient Video Classification. Hehe Fan, Zhongwen Xu, Linchao Zhu, Chenggang Yan, Jianjun Ge, Yi Yang |
| 2018 | Weakly Learning to Match Experts in Online Community. Yujie Qian, Jie Tang, Kan Wu |
| 2018 | Weakly Supervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning. Ning Zhang, Junchi Yan, Yuchen Zhou |
| 2018 | Weighted Bipolar Argumentation Graphs: Axioms and Semantics. Leila Amgoud, Jonathan Ben-Naim |
| 2018 | What Game Are We Playing? End-to-end Learning in Normal and Extensive Form Games. Chun Kai Ling, Fei Fang, J. Zico Kolter |
| 2018 | When Does Diversity of Agent Preferences Improve Outcomes in Selfish Routing? Richard Cole, Thanasis Lianeas, Evdokia Nikolova |
| 2018 | When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach. Ding Liu, Bihan Wen, Xianming Liu, Zhangyang Wang, Thomas S. Huang |
| 2018 | When Rigging a Tournament, Let Greediness Blind You. Sushmita Gupta, Sanjukta Roy, Saket Saurabh, Meirav Zehavi |
| 2018 | Where Have You Been? Inferring Career Trajectory from Academic Social Network. Kan Wu, Jie Tang, Chenhui Zhang |
| 2018 | Where to Prune: Using LSTM to Guide End-to-end Pruning. Jing Zhong, Guiguang Ding, Yuchen Guo, Jungong Han, Bin Wang |
| 2018 | Winning a Tournament by Any Means Necessary. Sushmita Gupta, Sanjukta Roy, Saket Saurabh, Meirav Zehavi |
| 2018 | Your Tweets Reveal What You Like: Introducing Cross-media Content Information into Multi-domain Recommendation. Weizhi Ma, Min Zhang, Chenyang Wang, Cheng Luo, Yiqun Liu, Shaoping Ma |
| 2018 | Z-Transforms and its Inference on Partially Observable Point Processes. Young Lee, Thanh Vinh Vo, Kar Wai Lim, Harold Soh |
| 2018 | Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder. Yang Liu, Quanxue Gao, Jin Li, Jungong Han, Ling Shao |