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Masashi Sugiyama

NeurIPS 2026×8强化学习与后训练推理安全社会与人本智能体与工具

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核心/参与15

方向广度10

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0 一作 · 8 篇 · NeurIPS 2026

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2026 顶会论文

8

作者位次 #2/2NeurIPS 2026Poster

VI-CuRL: Stabilizing Verifier-Independent RL Reasoning via Confidence-Guided Variance Reduction

Xin-Qiang Cai · Masashi Sugiyama

推理强化学习与后训练OpenReview

作者位次 #3/5NeurIPS 2026Poster· Social Aspects / Trustworthy Machine Learning

Watermarking as a Learned Intrinsic Property of Diffusion Models

Xiang Li · Dong-Dong Wu · Masashi Sugiyama · Lannan Luo · Qiang Zeng

安全社会与人本OpenReview

作者位次 #5/5NeurIPS 2026Poster

When and Why Does Multi-Agent Debate Fail and Does It Really Underperform?

Yongqiang Chen · Gang Niu · James Cheng · Bo Han · Masashi Sugiyama

智能体与工具OpenReview

作者位次 #7/7NeurIPS 2026Poster

Estimating and Orthogonalizing Unknown Pre-training Gradients for Continual Fine-tuning of Large Language Models

Bing Wang · Changchun Li · Xin-Qiang Cai · Lin Y Wu · Ximing Li · Gang Niu · Masashi Sugiyama

强化学习与后训练数据与预训练OpenReview

作者位次 #5/5NeurIPS 2026Poster

DELTA: Robustly Training Label-Conditional Diffusion Models with Weak Annotations

Dong-Dong Wu · Jiacheng Cui · Wei Wang · Zhiqiang Shen · Masashi Sugiyama

作者位次 #7/7NeurIPS 2026Poster

Rethinking Learning from Label Proportions via Moment Matching

Tianhao Ma · Wei Wang · Yivan Zhang · Dong-Dong Wu · Takashi Ishida · Gang Niu · Masashi Sugiyama

作者位次 #2/2NeurIPS 2026Poster· Deep Learning / Generative Models and Autoencoders

Asymptotically Exact Negative Guidance of Diffusion Models via Positive-Unlabeled Learning

Hirohane Takagi · Masashi Sugiyama

作者位次 #3/3NeurIPS 2026Poster

Bayes-Optimal BER and AUC: Estimation and Evaluation of Estimators

Ryota Ushio · Takashi Ishida · Masashi Sugiyama

评测与基准OpenReview

常见合作者

DWDong-Dong Wu×3 GNGang Niu×3 XCXin-Qiang Cai×2 WWWei Wang×2 TITakashi Ishida×2 XLXiang Li LLLannan Luo QZQiang Zeng YCYongqiang Chen JCJames Cheng BHBo Han BWBing Wang