Publication OpenNetLab: Open Platform for RL-based Congestion Control for Real-Time Communications Jeongyoon Eo, Zhixiong Niu, Wenxue Cheng, Francis Y. Yan, Rui Gao, Jorina Kardhashi, Scott Inglis, Michael Revow, Byung-Gon Chun, Peng Cheng, Yongqiang Xiong Asia-Pacific Workshop on Networking (APNet ’22) | July 2022 Best Paper Award
Publication Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li IJCAI 2022 | July 2022
Publication Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming Supriyo GHOSH, Laura Wynter, Shiau Hong Lim, Duc Thien Nguyen Uncertainty in Artificial Intelligence (UAI) | July 2022
Publication SPINE: A Scalable Log Parser with Feedback Guidance Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang 2022 Foundations of Software Engineering (FSE) | July 2022 SIGSOFT Distinguished Paper Award Projet Projet
Publication The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy Tianlong Chen, Zhenyu Zhang, Yu Cheng, Ahmed Awadallah, Zhangyang Wang CVPR 2022 | July 2022
Publication LITE: Intent-based Task Representation Learning Using Weak Supervision Naoki Otani, Michael Gamon, Sujay Kumar Jauhar, Mei Yang, Sri Malireddi, Oriana Riva 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) | July 2022
Publication Learning Models of Individual Behavior in Chess Reid McIlroy-Young, Russell Wang, Siddhartha Sen, Jon Kleinberg, Ashton Anderson KDD 2022 | July 2022 Projet
Publication MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control Nolan Wagener, Andrey Kolobov, Felipe Vieira Frujeri, Ricky Loynd, Ching-An Cheng, Matthew Hausknecht NeurIPS 2022 Datasets and Benchmarks Track | July 2022 Accès
Publication Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization Jivat Neet Kaur, Emre Kiciman, Amit Sharma Workshop on Spurious Correlations, Invariance, and Stability, ICML 2022 | July 2022 Spotlight Projet
Publication INK: Intensive Neural Knowledge James Park, Qiuyuan Huang, Yonatan Bisk, Jianwei Yang, Subhojit Som, Ali Farhadi, Yejin Choi, Jianfeng Gao MSR-TR-2022-38 | July 2022 Publié par Microsoft MSR-TR-2022-38 Projet