SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation
The Twelfth International Conference on Learning Representations (ICLR), 2024.
Ding, Mucong, Bang An, Yuancheng Xu, Anirudh Satheesh, and Furong Huang
Publisher's website
Ding, Mucong, Bang An, Yuancheng Xu, Anirudh Satheesh, and Furong Huang
Adversarial Auto- Augment with Label Preservation: A Representation Learning Principle Guided Approach
Neural Information Processing System (NeurIPS), 2022.
Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao
Publisher's website
Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao
COPlanner: Plan to Roll Out Conservatively but to Explore Optimisti- cally for Model-Based RL
The Twelfth International Conference on Learning Representations (ICLR), 2024.
Project page: https://si0wang.github.io/projects/COPlanner/.
Wang, Xiyao, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, Furong Huang
Publisher's website
Wang, Xiyao, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, Furong Huang
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization
Spotlight. The Twelfth International Conference on Learning Representations (ICLR), 2024.
Xu, Guowei, Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Zhecheng Yuan, Tianying Ji, Yu Luo, Xiaoyu Liu, Jiaxin Yuan, Pu Hua, Shuzhen Li, Yanjie Ze, Hal Daume III, Furong Huang, and Huazhe Xu
Publisher's website
Xu, Guowei, Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Zhecheng Yuan, Tianying Ji, Yu Luo, Xiaoyu Liu, Jiaxin Yuan, Pu Hua, Shuzhen Li, Yanjie Ze, Hal Daume III, Furong Huang, and Huazhe Xu
More Context, Less Distraction: Zero-shot Visual Classification by Inferring and Conditioning on Contextual Attributes
The Twelfth International Conference on Learning Representations (ICLR), 2024.
An, Bang, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, and Furong Huang
Publisher's website
An, Bang, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, and Furong Huang
Game-Theoretic Robust Rein- forcement Learning Handles Temporally-Coupled Perturbations
The Twelfth International Conference on Learning Representations (ICLR), 2024.
Liang, Yongyuan, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Benjamin Eysenbach, Tuomas Sandholm, Furong Huang, and Stephen Marcus McAleer
Publisher's website
Liang, Yongyuan, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Benjamin Eysenbach, Tuomas Sandholm, Furong Huang, and Stephen Marcus McAleer
Like Oil and Water: Group Robustness Methods and Poisoning Defenses Don’t Mix
The Twelfth International Conference on Learning Representations (ICLR), 2024.
Panaitescu-Liess, Michael-Andrei, Yigitcan Kaya, Sicheng Zhu, Furong Huang, and Tudor Dumitras
Publisher's website
Panaitescu-Liess, Michael-Andrei, Yigitcan Kaya, Sicheng Zhu, Furong Huang, and Tudor Dumitras
Decodable and Sample Invariant Continuous Object Encoder
The Twelfth International Conference on Learning Representations (ICLR), 2024.
Yuan, Dehao, Furong Huang, Cornelia Fermuller, and Yiannis Aloimonos
Publisher's website
Yuan, Dehao, Furong Huang, Cornelia Fermuller, and Yiannis Aloimonos
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder
The Second Workshop on Spurious Correlations, Invariance and Stability (SCIS) and Workshop on Structured Probabilistic Inference & Generative Modeling (SPIGM), ICML 2023.
Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, Furong Huang
Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, Furong Huang
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder
Neural Information Processing System (NeurIPS), 2023.
Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, Furong Huang
Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, Furong Huang