Publication Optimal Algorithms for Stochastic Contextual Preference Bandits Aadirupa Saha Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS) | December 2021
Publication CLUES: Few-Shot Learning Evaluation in Natural Language Understanding Subhabrata (Subho) Mukherjee, Xiaodong Liu, Guoqing Zheng, Saghar Hosseini, Hao Cheng, Greg Yang, Chris Meek, Ahmed Awadallah, Jianfeng Gao NeurIPS 2021 | December 2021 Github Projet
Publication Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang 35th Annual Conference on Neural Information Processing System (NeurIPS 2021) | December 2021
Publication Representation Learning for Event-based Visuomotor Policies Sai Vemprala, Sami Mian, Ashish Kapoor NeurIPS 2021 | December 2021 Projet Projet
Publication Adversarial graph augmentation to improve graph contrastive learning Susheel Suresh, Pan Li, Cong Hao Advances in Neural Information Processing Systems | December 2021
Publication Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation Yang Yu, Fangzhao Wu, Chuhan Wu, Jingwei Yi, Tao Qi, Qi Liu EMNLP 2022 | December 2021
Publication Parameter Inference with Bifurcation Diagrams Grisha Szep, Neil Dalchau, Attila Csikász-Nagy NeurIPS 2021 | December 2021
Publication Accelerating Deep Learning Training : A Storage Perspective Jayashree Mohan December 2021 Thèse de doctorat : University of Texas at Austin | December 2021
Publication Towards optimally abstaining from prediction with OOD test examples Adam Tauman Kalai, Varun Kanade NeurIPS 2021 | December 2021
Publication On the Theory of Reinforcement Learning with Once-per-Episode Feedback Niladri Chatterji, Aldo Pacchiano, Peter Bartlett, Michael Jordan NeurIPS 2021 | December 2021