Publication Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers Rui Liu, Young Jin Kim, Alexandre Muzio, Hany Hassan Awadalla ICML 2022 | July 2022 Projet
Publication Finding Global Homophily in Graph Neural Networks When Meeting Heterophily Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian ICML 2022 | July 2022
Publication Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations Fan Yin, Jieying Jiao, Guanyu Hu, Jun Yan ICML 2022 | July 2022
Publication Thompson Sampling for (Combinatorial) Pure Exploration Siwei Wang, Jun Zhu International Conference on Machine Learning | July 2022
Publication Visual Attention Emerges from Recurrent Sparse Reconstruction Baifeng Shi, Yale Song, Neel Joshi, Xin Wang, Trevor Darrell ICML 2022 | July 2022
Publication Versatile Dueling Bandits: Best-of-both World Analyses for Learning from Relative Preferences Aadirupa Saha, Pierre Gaillard ICML 2022 | July 2022
Publication Universal and data-adaptive algorithms for model selection in linear contextual bandits Vidya Muthukumar, Akshay Krishnamurthy ICML 2022 | July 2022
Publication PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance Qingru Zhang, Simiao Zuo, Chen Liang, Alexander Bukharin, Pengcheng He, Weizhu Chen, Tuo Zhao ICML 2022 | July 2022
Publication Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods Yi Wan, Harm van Seijen, Ida Momennejad, Sarath Chandar, Janarthanan Rajendran, Ali Rahimi-Kalahroudi ICML 2022 | July 2022
Publication SE(3) Equivariant Graph Neural Networks with Complete Local Frames weitao du, He Zhang, Yuanqi Du, Qi Meng, Wei Chen, Tie-Yan Liu, Nanning Zheng, Bin Shao ICML 2022 | July 2022