Masashi Sugiyama

Venues

Frequent coauthors

Papers

1. Robust Learning from Noisily Labeled Long-Tailed Data via Fairness Regularizer
   AAAI 2026 ·

   Jiaheng Wei

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2. Action-Agnostic Point-Level Supervision for Temporal Action Detection
   AAAI 2025 ·

   Shuhei M. Yoshida

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3. Adaptive Localization of Knowledge Negation for Continual LLM Unlearning
   ICML 2025 ·

   Abudukelimu Wuerkaixi

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4. Domain Adaptation and Entanglement: an Optimal Transport Perspective
   AISTATS 2025 ·

   Okan Koc

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5. Generalized Linear Bandits: Almost Optimal Regret with One-Pass Update
   NeurIPS 2025 ·

   Yu-Jie Zhang

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6. Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning
   IJCAI 2025 ·

   Zhiqiang Kou

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7. Learning View-invariant World Models for Visual Robotic Manipulation
   ICLR 2025 ·

   Jing-Cheng Pang

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8. Multi-Player Approaches for Dueling Bandits
   AISTATS 2025 ·

   Or Raveh

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9. Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability
   ICML 2025 ·

   Yu-Jie Zhang

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10. Parallel Simulation for Log-concave Sampling and Score-based Diffusion Models
    ICML 2025 ·

    Huanjian Zhou

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11. Realistic Evaluation of Deep Partial-Label Learning Algorithms
    ICLR 2025 ·

    Wei Wang

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12. Robust Multi-View Learning via Representation Fusion of Sample-Level Attention and Alignment of Simulated Perturbation
    ICCV 2025 ·

    Jie Xu

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13. Sharpness-Aware Black-Box Optimization
    ICLR 2025 ·

    Feiyang Ye

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14. The Adaptive Complexity of Finding a Stationary Point
    COLT 2025 ·

    Huanjian Zhou

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15. The Adaptive Complexity of Minimizing Relative Fisher Information
    NeurIPS 2025 ·

    Huanjian Zhou

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16. The adaptive complexity of parallelized log-concave sampling
    ICLR 2025 ·

    Huanjian Zhou

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17. Towards Effective Evaluations and Comparisons for LLM Unlearning Methods
    ICLR 2025 ·

    Qizhou Wang

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18. Towards Out-of-Modal Generalization without Instance-level Modal Correspondence
    ICLR 2025 ·

    Zhuo Huang

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19. A General Framework for Learning from Weak Supervision
    ICML 2024 ·

    Hao Chen

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20. Accurate Forgetting for Heterogeneous Federated Continual Learning
    ICLR 2024 ·

    Abudukelimu Wuerkaixi

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21. An offline learning of behavior correction policy for vision-based robotic manipulation
    ICRA 2024 ·

    Qingxiuxiong Dong

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22. Balancing Similarity and Complementarity for Federated Learning
    ICML 2024 ·

    Kunda Yan

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23. Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training
    ICML 2024 ·

    Ming-Kun Xie

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24. Direct Distillation Between Different Domains
    ECCV 2024 ·

    Jialiang Tang

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25. Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-supervised Multi-label Learning
    ECCV 2024 ·

    Jiahao Xiao

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26. Efficient Non-stationary Online Learning by Wavelets with Applications to Online Distribution Shift Adaptation
    ICML 2024 ·

    Yu-Yang Qian

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27. Enriching Disentanglement: From Logical Definitions to Quantitative Metrics
    NeurIPS 2024 ·

    Yivan Zhang

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28. Fixed-Budget Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit
    AISTATS 2024 ·

    Shintaro Nakamura

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29. Generating Chain-of-Thoughts with a Pairwise-Comparison Approach to Searching for the Most Promising Intermediate Thought
    ICML 2024 ·

    Zhen-Yu Zhang

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30. Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
    NeurIPS 2024 ·

    Hao Chen

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31. Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical
    ICML 2024 ·

    Wei Wang

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32. Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization
    ICML 2024 ·

    Ziqing Fan

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33. Robust Similarity Learning with Difference Alignment Regularization
    ICLR 2024 ·

    Shuo Chen

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34. Slight Corruption in Pre-training Data Makes Better Diffusion Models
    NeurIPS 2024 ·

    Hao Chen

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35. Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment
    NeurIPS 2024 ·

    Zhen-Yu Zhang

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36. The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models
    AAAI 2024 ·

    Jongyeong Lee

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37. Thompson Sampling for Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit
    AAAI 2024 ·

    Shintaro Nakamura

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38. Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
    ICLR 2024 ·

    Hao Chen

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39. VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates
    AISTATS 2024 ·

    Guillaume Braun

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40. Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification
    EMNLP 2024 ·

    Ming Li

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41. What Makes Partial-Label Learning Algorithms Effective?
    NeurIPS 2024 ·

    Jiaqi Lv

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