Publication BayesIMP: Uncertainty Quantification for Causal Data Fusion Siu Lun Chau, Jean-Francois Ton, Javier González, Yee The, Dino Sejdinovic Neural Information Processing Systems (NeurIPS 2021) | December 2021
Publication Combinatorial Pure Exploration with Bottleneck Reward Function Yihan Du, Yuko Kuroki, Wei Chen Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS) | December 2021
Publication The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle Fang Kong, Yueran Yang, Wei Chen, Shuai Li Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS) | December 2021
Publication Programming Puzzles Adam Tauman Kalai NeurIPS Datasets and Benchmarks Track | December 2021 Projet
Publication Summarize with Caution: Comparing Global Feature Attributions Alex Okeson, Rich Caruana, Nick Craswell, Kori Inkpen, Scott M. Lundberg, Harsha Nori, Hanna Wallach, Jennifer Wortman Vaughan Bulletin of the IEEE Computer Society Technical Committee on Data Engineering | December 2021 Projet
Publication VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Eric Wang, William Yang Wang, Tamara Lee Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu NeurIPS 2021 | December 2021 Projet
Publication Chasing Sparsity in Vision Transformers: An End-to-End Exploration Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang 35th Annual Conference on Neural Information Processing System (NeurIPS 2021) | December 2021
Publication The Elastic Lottery Ticket Hypothesis Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang 35th Annual Conference on Neural Information Processing System (NeurIPS 2021) | December 2021 Projet
Publication Piper: Multidimensional Planner for DNN Parallelization Jakub Tarnawski, Deepak Narayanan, Amar Phanishayee NeurIPS 2021 | December 2021 Projet Projet
Publication Memory Efficient Meta-Learning with Large Images John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Richard Turner NeurIPS 2021 | December 2021 Github Projet