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