Xin-Qiang Cai

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Nearest Neighbor

Imitation Learning

Pareto Optimality

Action Recognition

Top Venues

Publications

Soichiro Nishimori, Xin-Qiang Cai, Johannes Ackermann, Masashi Sugiyama
Leveraging Domain-Unlabeled Data in Offline Reinforcement Learning across Two Domains. CoRR (2024)
Kaiyan Zhao, Qiyu Wu, Xin-Qiang Cai, Yoshimasa Tsuruoka
Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding. EACL (1) (2024)
Yuting Tang, Xin-Qiang Cai, Yao-Xiang Ding, Qiyu Wu, Guoqing Liu, Masashi Sugiyama
Reinforcement Learning from Bagged Reward: A Transformer-based Approach for Instance-Level Reward Redistribution. CoRR (2024)
Xingyu Song, Zhan Li, Shi Chen, Xin-Qiang Cai, Kazuyuki Demachi
An Animation-based Augmentation Approach for Action Recognition from Discontinuous Video. CoRR (2024)
Kaiyan Zhao, Qiyu Wu, Xin-Qiang Cai, Yoshimasa Tsuruoka
Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding. CoRR (2023)
Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou
Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning. ICLR (2023)
Xin-Qiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley Llorens
Distributional Pareto-Optimal Multi-Objective Reinforcement Learning. NeurIPS (2023)
Xin-Qiang Cai, Yu-Jie Zhang, Chao-Kai Chiang, Masashi Sugiyama
Imitation Learning from Vague Feedback. NeurIPS (2023)
Zi-Xuan Chen, Xin-Qiang Cai, Yuan Jiang, Zhi-Hua Zhou
Anomaly Guided Policy Learning from Imperfect Demonstrations. AAMAS (2022)
Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou
Seeing Differently, Acting Similarly: Imitation Learning with Heterogeneous Observations. CoRR (2021)
Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou
Imitation Learning from Pixel-Level Demonstrations by HashReward. AAMAS (2021)
Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou
Expert-Level Atari Imitation Learning from Demonstrations Only. CoRR (2019)
Xin-Qiang Cai, Peng Zhao, Kai-Ming Ting, Xin Mu, Yuan Jiang
Nearest Neighbor Ensembles: An Effective Method for Difficult Problems in Streaming Classification with Emerging New Classes. ICDM (2019)