Publication MLP Architectures for Vision-and-Language Modeling: An Empirical Study Yixin Nie, Linjie Li, Zhe Gan, Shuohang Wang, Chenguang Zhu, Michael Zeng, Zicheng Liu, Mohit Bansal, Lijuan Wang December 2021 Project
Publication A Linguistic Annotation Framework to Study Interactions in Multilingual Healthcare Conversational Forums Ishani Mondal, Kalika Bali, Mohit Jain, Monojit Choudhury, Ashish Sharma, Evans Gitau, Jacki O'Neill, Kagonya Awori, Sarah Gitau LAW | EMNLP | December 2021 Project
Publication Sparse Uncertainty Representation in Deep Learning with Inducing Weights Hippolyt Ritter, Martin Kukla, Cheng Zhang, Yingzhen Li NeurIPS | December 2021 Project
Publication Few-Shot Data-Driven Algorithms for Low Rank Approximation Piotr Indyk, Tal Wagner, David Woodruff NeurIPS 2021 | December 2021
Publication RL for Latent MDPs: Regret Guarantees and a Lower Bound Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor NeurIPS 2021 | December 2021
Publication Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates Romain Laroche, Remi Tachet des Combes NeurIPS 2021 | December 2021 Project
Publication ToAlign: Task-Oriented Alignment for Unsupervised Domain Adaptation Guoqiang Wei, Cuiling Lan, Wenjun Zeng, Zhizheng Zhang, Zhibo Chen NeurIPS 2021 | December 2021
Publication Distributional Reinforcement Learning for Multi-Dimensional Reward Functions Pushi Zhang, Xiaoyu Chen, Li Zhao, Wei Xiong, Tao Qin, Tie-Yan Liu Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS) | December 2021 Project
Publication Pretraining Representations for Data-Efficient Reinforcement Learning Max Schwarzer, Nitarshan Rajkumar, Michael Noukhovitch, Ankesh Anand, Laurent Charlin, Devon Hjelm, Philip Bachman, Aaron Courville NeurIPS 2021 | December 2021
Publication On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry Andi Han, Bamdev Mishra, Pratik Kumar Jawanpuria (prjawanp), Junbin Gao NeurIPS 2021 | December 2021