Publication SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo ICLR 2022 | April 2022
Publication Mirror Descent Policy Optimization Manan Tomar, Lior Shani, Yonathan Efroni, Mohammad Ghavamzadeh ICLR 2022 | April 2022
Publication Minimax Optimality (Probably) Doesn’t Imply Distribution Learning for GANs Sitan Chen, Jerry Li, Yuanzhi Li, Raghu Meka ICLR 2022 | April 2022
Publication Exploiting Class Activation Value for Partial-Label Learning Fei Zhang, Lei Feng, Bo Han, Tongliang Liu, Gang Niu, Tao Qin, Masashi Sugiyama ICLR 2022 | April 2022
Publication Explaining Point Processes by Learning Interpretable Temporal Logic Rules Shuang Li, Mingquan Feng, Lu Wang, Abdelmajid Essofi, Yufeng Cao, Junchi Yan, Le Song ICLR 2022 | April 2022
Publication Distribution Compression in Near-Linear Time Abhishek Shetty, Raaz Dwivedi, Lester Mackey ICLR 2022 | April 2022
Publication Taming Sparsely Activated Transformer with Stochastic Experts Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan Awadalla, Ruofei Zhang, Tuo Zhao, Jianfeng Gao ICLR 2022 | April 2022 Project
Publication LoRA: Low-Rank Adaptation of Large Language Models Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen ICLR 2022 | April 2022 Video Github Project
Publication Synchromesh: Reliable code generation from pre-trained language models Gabriel Poesia, Alex Polozov, Vu Le, Ashish Tiwari, Gustavo Soares, Chris Meek, Sumit Gulwani ICLR 2022 | April 2022 Project
Publication LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners Yaqing Wang, Subhabrata (Subho) Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Awadallah, Jianfeng Gao NAACL 2022 | April 2022 Github Project Project