PPaperPicks

Masashi Sugiyama

41 papers at tracked venues · 31 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Gang Niu
×16
Bo Han
×5
Jindong Wang
×5
Tongliang Liu
×4
Yu-Jie Zhang
×4
Huanjian Zhou
×4
Hao Chen
×4
Bhiksha Raj
×4
Abudukelimu Wuerkaixi
×3
Sen Cui
×3
Changshui Zhang
×3
Ming-Kun Xie
×3

Papers

  1. Robust Learning from Noisily Labeled Long-Tailed Data via Fairness Regularizer
    AAAI 2026 ·
    Jiaheng Wei
    ,
    Zhaowei Zhu
    ,
    Gang Niu
    ,
    Tongliang Liu
    ,
    Sijia Liu
    , Masashi Sugiyama,
    Yang Liu
  2. Action-Agnostic Point-Level Supervision for Temporal Action Detection
    AAAI 2025 ·
    Shuhei M. Yoshida
    ,
    Takashi Shibata
    ,
    Makoto Terao
    ,
    Takayuki Okatani
    , Masashi Sugiyama
  3. Adaptive Localization of Knowledge Negation for Continual LLM Unlearning
    ICML 2025 ·
    Abudukelimu Wuerkaixi
    ,
    Qizhou Wang
    ,
    Sen Cui
    ,
    Wutong Xu
    ,
    Bo Han
    ,
    Gang Niu
    , Masashi Sugiyama,
    Changshui Zhang
  4. Domain Adaptation and Entanglement: an Optimal Transport Perspective
    AISTATS 2025 ·
    Okan Koc
    ,
    Alexander Soen
    ,
    Chao-Kai Chiang
    , Masashi Sugiyama
  5. Generalized Linear Bandits: Almost Optimal Regret with One-Pass Update
    NeurIPS 2025 ·
    Yu-Jie Zhang
    ,
    Sheng-An Xu
    ,
    Peng Zhao
    , Masashi Sugiyama
  6. Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning
    IJCAI 2025 ·
    Zhiqiang Kou
    ,
    Si Qin
    ,
    Hailin Wang
    ,
    Jing Wang
    ,
    Ming-Kun Xie
    ,
    Shuo Chen
    ,
    Yuheng Jia
    ,
    Tongliang Liu
    , Masashi Sugiyama,
    Xin Geng
  7. Learning View-invariant World Models for Visual Robotic Manipulation
    ICLR 2025 ·
    Jing-Cheng Pang
    ,
    Nan Tang
    ,
    Kaiyuan Li
    ,
    Yuting Tang
    ,
    Xin-Qiang Cai
    ,
    Zhen-Yu Zhang
    ,
    Gang Niu
    , Masashi Sugiyama,
    Yang Yu
  8. Multi-Player Approaches for Dueling Bandits
    AISTATS 2025 ·
    Or Raveh
    ,
    Junya Honda
    , Masashi Sugiyama
  9. Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability
    ICML 2025 ·
    Yu-Jie Zhang
    ,
    Peng Zhao
    , Masashi Sugiyama
  10. Parallel Simulation for Log-concave Sampling and Score-based Diffusion Models
    ICML 2025 ·
    Huanjian Zhou
    , Masashi Sugiyama
  11. Realistic Evaluation of Deep Partial-Label Learning Algorithms
    ICLR 2025 ·
    Wei Wang
    ,
    Dong-Dong Wu
    ,
    Jindong Wang
    ,
    Gang Niu
    ,
    Min-Ling Zhang
    , Masashi Sugiyama
  12. Robust Multi-View Learning via Representation Fusion of Sample-Level Attention and Alignment of Simulated Perturbation
    ICCV 2025 ·
    Jie Xu
    ,
    Na Zhao
    ,
    Gang Niu
    , Masashi Sugiyama,
    Xiaofeng Zhu
  13. Sharpness-Aware Black-Box Optimization
    ICLR 2025 ·
    Feiyang Ye
    ,
    Yueming Lyu
    ,
    Xuehao Wang
    , Masashi Sugiyama,
    Yu Zhang
    ,
    Ivor W. Tsang
  14. The Adaptive Complexity of Finding a Stationary Point
    COLT 2025 ·
    Huanjian Zhou
    ,
    Andi Han
    ,
    Akiko Takeda
    , Masashi Sugiyama
  15. The Adaptive Complexity of Minimizing Relative Fisher Information
    NeurIPS 2025 ·
    Huanjian Zhou
    , Masashi Sugiyama
  16. The adaptive complexity of parallelized log-concave sampling
    ICLR 2025 ·
    Huanjian Zhou
    ,
    Baoxiang Wang
    , Masashi Sugiyama
  17. Towards Effective Evaluations and Comparisons for LLM Unlearning Methods
    ICLR 2025 ·
    Qizhou Wang
    ,
    Bo Han
    ,
    Puning Yang
    ,
    Jianing Zhu
    ,
    Tongliang Liu
    , Masashi Sugiyama
  18. Towards Out-of-Modal Generalization without Instance-level Modal Correspondence
    ICLR 2025 ·
    Zhuo Huang
    ,
    Gang Niu
    ,
    Bo Han
    , Masashi Sugiyama,
    Tongliang Liu
  19. A General Framework for Learning from Weak Supervision
    ICML 2024 ·
    Hao Chen
    ,
    Jindong Wang
    ,
    Lei Feng
    ,
    Xiang Li
    ,
    Yidong Wang
    ,
    Xing Xie
    , Masashi Sugiyama,
    Rita Singh
    ,
    Bhiksha Raj
  20. Accurate Forgetting for Heterogeneous Federated Continual Learning
    ICLR 2024 ·
    Abudukelimu Wuerkaixi
    ,
    Sen Cui
    ,
    Jingfeng Zhang
    ,
    Kunda Yan
    ,
    Bo Han
    ,
    Gang Niu
    ,
    Lei Fang
    ,
    Changshui Zhang
    , Masashi Sugiyama
  21. An offline learning of behavior correction policy for vision-based robotic manipulation
    ICRA 2024 ·
    Qingxiuxiong Dong
    ,
    Toshimitsu Kaneko
    , Masashi Sugiyama
  22. Balancing Similarity and Complementarity for Federated Learning
    ICML 2024 ·
    Kunda Yan
    ,
    Sen Cui
    ,
    Abudukelimu Wuerkaixi
    ,
    Jingfeng Zhang
    ,
    Bo Han
    ,
    Gang Niu
    , Masashi Sugiyama,
    Changshui Zhang
  23. Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training
    ICML 2024 ·
    Ming-Kun Xie
    ,
    Jiahao Xiao
    ,
    Pei Peng
    ,
    Gang Niu
    , Masashi Sugiyama,
    Sheng-Jun Huang
  24. Direct Distillation Between Different Domains
    ECCV 2024 ·
    Jialiang Tang
    ,
    Shuo Chen
    ,
    Gang Niu
    ,
    Hongyuan Zhu
    ,
    Joey Tianyi Zhou
    ,
    Chen Gong
    , Masashi Sugiyama
  25. Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-supervised Multi-label Learning
    ECCV 2024 ·
    Jiahao Xiao
    ,
    Ming-Kun Xie
    ,
    Heng-Bo Fan
    ,
    Gang Niu
    , Masashi Sugiyama,
    Sheng-Jun Huang
  26. Efficient Non-stationary Online Learning by Wavelets with Applications to Online Distribution Shift Adaptation
    ICML 2024 ·
    Yu-Yang Qian
    ,
    Peng Zhao
    ,
    Yu-Jie Zhang
    , Masashi Sugiyama,
    Zhi-Hua Zhou
  27. Enriching Disentanglement: From Logical Definitions to Quantitative Metrics
    NeurIPS 2024 ·
    Yivan Zhang
    , Masashi Sugiyama
  28. Fixed-Budget Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit
    AISTATS 2024 ·
    Shintaro Nakamura
    , Masashi Sugiyama
  29. Generating Chain-of-Thoughts with a Pairwise-Comparison Approach to Searching for the Most Promising Intermediate Thought
    ICML 2024 ·
    Zhen-Yu Zhang
    ,
    Siwei Han
    ,
    Huaxiu Yao
    ,
    Gang Niu
    , Masashi Sugiyama
  30. Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
    NeurIPS 2024 ·
    Hao Chen
    ,
    Ankit Shah
    ,
    Jindong Wang
    ,
    Ran Tao
    ,
    Yidong Wang
    ,
    Xiang Li
    ,
    Xing Xie
    , Masashi Sugiyama,
    Rita Singh
    ,
    Bhiksha Raj
  31. Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical
    ICML 2024 ·
    Wei Wang
    ,
    Takashi Ishida
    ,
    Yu-Jie Zhang
    ,
    Gang Niu
    , Masashi Sugiyama
  32. Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization
    ICML 2024 ·
    Ziqing Fan
    ,
    Shengchao Hu
    ,
    Jiangchao Yao
    ,
    Gang Niu
    ,
    Ya Zhang
    , Masashi Sugiyama,
    Yanfeng Wang
  33. Robust Similarity Learning with Difference Alignment Regularization
    ICLR 2024 ·
    Shuo Chen
    ,
    Gang Niu
    ,
    Chen Gong
    ,
    Okan Koc
    ,
    Jian Yang
    , Masashi Sugiyama
  34. Slight Corruption in Pre-training Data Makes Better Diffusion Models
    NeurIPS 2024 ·
    Hao Chen
    ,
    Yujin Han
    ,
    Diganta Misra
    ,
    Xiang Li
    ,
    Kai Hu
    ,
    Difan Zou
    , Masashi Sugiyama,
    Jindong Wang
    ,
    Bhiksha Raj
  35. Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment
    NeurIPS 2024 ·
    Zhen-Yu Zhang
    ,
    Zhiyu Xie
    ,
    Huaxiu Yao
    , Masashi Sugiyama
  36. The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models
    AAAI 2024 ·
    Jongyeong Lee
    ,
    Chao-Kai Chiang
    , Masashi Sugiyama
  37. Thompson Sampling for Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit
    AAAI 2024 ·
    Shintaro Nakamura
    , Masashi Sugiyama
  38. Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
    ICLR 2024 ·
    Hao Chen
    ,
    Jindong Wang
    ,
    Ankit Shah
    ,
    Ran Tao
    ,
    Hongxin Wei
    ,
    Xing Xie
    , Masashi Sugiyama,
    Bhiksha Raj
  39. VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates
    AISTATS 2024 ·
    Guillaume Braun
    , Masashi Sugiyama
  40. Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification
    EMNLP 2024 ·
    Ming Li
    ,
    Jike Zhong
    ,
    Chenxin Li
    ,
    Liuzhuozheng Li
    ,
    Nie Lin
    , Masashi Sugiyama
  41. What Makes Partial-Label Learning Algorithms Effective?
    NeurIPS 2024 ·
    Jiaqi Lv
    ,
    Yangfan Liu
    ,
    Shiyu Xia
    ,
    Ning Xu
    ,
    Miao Xu
    ,
    Gang Niu
    ,
    Min-Ling Zhang
    , Masashi Sugiyama,
    Xin Geng