Publication No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models Chen Liang, Haoming Jiang, Simiao Zuo, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao ICLR 2022 | April 2022
Publication Gradient Information Matters in Policy Optimization by Back-propagating through Model Chongchong Li, Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu ICLR 2022 | April 2022
Publication Graph Vulnerability and Robustness: A Survey Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng (Polo) Chau Transactions on Knowledge and Data Engineering (TKDE) | April 2022
Publication Optimal Collaterals in Multi-Enterprise Investment Networks Moshe Babaioff, Yoav Kolumbus, Eyal Winter TheWebConf 2022 | April 2022
Publication Evaluating Distributional Distortion in Neural Language Modeling Benjamin LeBrun, Alessandro Sordoni, Timothy J. O'Donnell ICLR 2022 | April 2022
Publication Creating Training Sets via Weak Indirect Supervision Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner ICLR 2022 | April 2022
Publication Anti-Concentrated Confidence Bonuses for Scalable Exploration Jordan T. Ash, Cyril Zhang, Surbhi Goel, Akshay Krishnamurthy, Sham M. Kakade ICLR 2022 | April 2022
Publication Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu, Xing Xie The Web Conference 2022 | April 2022
Publication Learning to Extend Molecular Scaffolds with Structural Motifs Krzysztof Maziarz, Henry Jackson-Flux, Pashmina Cameron, Finton Sirockin, Nadine Schneider, Nikolaus Stiefl, Marwin Segler, Marc Brockschmidt ICLR 2022 | April 2022 Github Project
Publication Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property Boshi Wang, Jialin Yi, Hang Dong, Bo Qiao, Chuan Luo, Qingwei Lin 林庆维 ICLR 2022 | April 2022 Project