Publication NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM Connor Holmes, Minjia Zhang, Yuxiong He, Bo Wu NeurIPS 2021 | December 2021
Publication Tactical Optimism and Pessimism for Deep Reinforcement Learning Ted Moskovitz, Jack Parker-Holder, Aldo Pacchiano, Michael Arbel, Michael Jordan NeurIPS 2021 | December 2021
Publication Precise characterization of the prior predictive distribution of deep ReLU networks Lorenzo Noci, Gregor Bachmann, Kevin Roth, Sebastian Nowozin, Thomas Hofmann NeurIPS 2021 | December 2021
Publication Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD Bohan Wang, Huishuai Zhang, Jieyu Zhang, Qi Meng, Wei Chen, Tie-Yan Liu NeurIPS 2021 | December 2021
Publication Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation Yufei Wang, Can Xu, Huang Hu, Chongyang Tao, Stephen Wan, Mark Dras, Mark Johnson, Daxin Jiang (姜大昕) NeurIPS 2021 | December 2021
Publication Information Directed Reward Learning for Reinforcement Learning David Lindner, Matteo Turchetta, Sebastian Tschiatschek, Kamil Ciosek, Andreas Krause NeurIPS 2021 | December 2021 Video
Publication Co-evolution Transformer for Protein Contact Prediction He Zhang, Fusong Ju, Jianwei Zhu, Liang He, Bin Shao, Nanning Zheng, Tie-Yan Liu NeurIPS 2021 | December 2021
Publication Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection Matteo Papini, Andrea Tirinzoni, Aldo Pacchiano, Marcello Restelli, Alessandro Lazaric, Matteo Pirotta NeurIPS 2021 | December 2021
Publication Learning Causal Semantic Representation for Out-of-Distribution Prediction Chang Liu, Xinwei Sun, Jindong Wang, Haoyue Tang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu NeurIPS 2021 | December 2021