Papers
Online Knowledge Distillation with Diverse Peers
Defang Chen, Jian-Ping Mei, Can Wang et al.
HoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation
Chao Chen, Zhihang Fu, Zhihong Chen et al.
Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control
Chacha Chen, Hua Wei, Nan Xu et al.
A New Ensemble Adversarial Attack Powered by Long-Term Gradient Memories
Zhaohui Che, Ali Borji, Guangtao Zhai et al.
Robust Data Programming with Precision-guided Labeling Functions
Oishik Chatterjee, Ganesh Ramakrishnan, Sunita Sarawagi
A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models
Heng Chang, Yu Rong, Tingyang Xu et al.
Reinforcement Learning When All Actions Are Not Always Available
Yash Chandak, Georgios Theocharous, Blossom Metevier et al.
Lifelong Learning with a Changing Action Set
Yash Chandak, Georgios Theocharous, Chris Nota et al.
Exponential Family Graph Embeddings
Abdulkadir Celikkanat, Fragkiskos D. Malliaros
Fatigue-Aware Bandits for Dependent Click Models
Junyu Cao, Wei Sun, Zuo-Jun (Max) Shen et al.
Active Ordinal Querying for Tuplewise Similarity Learning
Gregory Canal, Stefano Fenu, Christopher Rozell
Predicting Propositional Satisfiability via End-to-End Learning
Chris Cameron, Rex Chen, Jason Hartford et al.
Deterministic Value-Policy Gradients
Qingpeng Cai, Ling Pan, Pingzhong Tang
A Multi-Scale Approach for Graph Link Prediction
Lei Cai, Shuiwang Ji
Information-Theoretic Understanding of Population Risk Improvement with Model Compression
Yuheng Bu, Weihao Gao, Shaofeng Zou et al.
Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis
Elena Botoeva, Panagiotis Kouvaros, Jan Kronqvist et al.
Proximal Distilled Evolutionary Reinforcement Learning
Cristian Bodnar, Ben Day, Pietro Lió
A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control
Adel Bibi, El Houcine Bergou, Ozan Sener et al.
An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints
Chao Bian, Chao Feng, Chao Qian et al.
Event-Driven Continuous Time Bayesian Networks
Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao et al.
Exploratory Combinatorial Optimization with Reinforcement Learning
Thomas Barrett, William Clements, Jakob Foerster et al.
Midas: Microcluster-Based Detector of Anomalies in Edge Streams
Siddharth Bhatia, Bryan Hooi, Minji Yoon et al.
Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding
Oren Barkan, Noam Razin, Itzik Malkiel et al.