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 Project Project
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 PhD Thesis: 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
Publication Asymptotics of the Bootstrap via Stability with Applications to Inference with Model Selection Morgane Austern, Vasilis Syrgkanis NeurIPS 2021 | December 2021
Publication PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning Tao Yu, Cuiling Lan, Wenjun Zeng, Mingxiao Feng, Zhizheng Zhang, Zhibo Chen NeurIPS 2021 | December 2021