- 1626. Yining Hong; Li Yi; Joshua B. Tenenbaum; Antonio Torralba; Chuang Gan. PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning. , NeurIPS 2021.
- 1625. Liyuan Wang, Mingtian Zhang, Zhongfan Jia, Qian Li, Chenglong Bao, Kaisheng Ma, Jun Zhu, Yi Zhong. AFEC: Active Forgetting of Negative Transfer in Continual Learning. , NeurIPS 2021.
- 1624. Linfeng Zhang, and Kaisheng Ma. Improve Object Detection with Feature-based Knowledge Distillation: Towards Accurate and Efficient Detectors. , ICLR 2021.
- 1623. Linfeng Zhang, Chenglong Bao, and Kaisheng Ma. Self-Distillation: Towards Efficient and Compact Neural Networks. , TPAMI 2021.
- 1622. Jin Xu, Xu Tan, Renqian Luo, Kaitao Song, Jian Li, Tao Qin, Tie-Yan Liu. NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search. , KDD 2021.
- 1621. Haike Xu, Jian Li. Simple Combinatorial Algorithms for Combinatorial Bandits: Corruptions and Approximations. , UAI 2021.
- 1620. Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Li Jian, Nenghai Yu, Tie-Yan Liu. Return-Based Contrastive Representation Learning for Reinforcement Learning. , ICLR 2021.
- 1619. Chuheng Zhang, Yuanying Cai, Longbo Huang, Jian Li. Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework. , AAAI 2021.
- 1618. Qingsong Liu, Wenfei Wu, Longbo Huang, and Zhixuan Fang. Simultaneously Achieving Sublinear Regret and Constraint Violations for Online Convex Optimization with Time-varying Constraints. , PEVA 2021.
- 1617. Ningning Ding, Zhixuan Fang, Lingjie Duan, and Jianwei Huang. Optimal Incentive and Load Design for Distributed Coded Machine Learning. , JSAC 2021.
- 1616. Ningning Ding, Zhixuan Fang, and Jianwei Huang. Optimal Contract Design for Efficient Federated Learning With Multi-Dimensional Private Information. , JSAC 2021.
- 1615. Qingsong Liu, Wenfei Wu, Longbo Huang, and Zhixuan Fang. Simultaneously Achieving Sublinear Regret and Constraint Violations for Online Convex Optimization with Time-varying Constraints. , Performance 2021.
- 1614. Ningning Ding, Zhixuan Fang, Lingjie Duan, and Jianwei Huang. Incentive Mechanism Design for Distributed Coded Machine Learning. , INFOCOM 2021.
- 1613. Yao Mu, Yuzheng Zhuang, Bin Wang, Guangxiang Zhu, Wulong Liu, Jianyu Chen, Ping Luo, Shengbo Eben Li, Chongjie Zhang, Jianye HAO. Model-Based Reinforcement Learning via Imagination with Derived Memory. , NeurIPS 2021.
- 1612. W. Cao, J. Chen, J. Duan, SE. Li, Y. Lyu, Z. Gu, Y. Zhang. Reinforced Optimal Estimator. , MECC 2021.
- 1611. B. Peng, Y. Mu, Y. Guan, SE. Li, Y. Yin, J. Chen. Model-Based Actor-Critic with Chance Constraint for Stochastic System. , CDC 2021.
- 1610. J. Chen, Y. Shimizu, L. Sun, M. Tomizuka, W. Zhan. Constrained Iterative LQG for Real-Time Chance-Constrained Gaussian Belief Space Planning. , IROS 2021.
- 1609. H. Ma, J. Chen, SE. Li, X. Zhang, S. Zheng, J. Chen. Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function. , IROS 2021.
