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大学 × Machine Learning

東京科学大学

Machine Learning / 2022–2026 LIVE

掲載論文 110 本

論文一覧

110 本

このEditionのランキングに掲載している論文です。同じ大学の複数著者による共著は1本にまとめています。

ランキングの対象論文 110 本と一致しています。

2026年

  1. 2026 · ICLR

    AdaBlock-dLLM: Semantic-Aware Diffusion LLM Inference via Adaptive Block Size

    掲載ID: iclr:2026:e2eeb89acc98e8e506d719e330cbc43a

    Guanxi Lu, Hao Chen, Yuto Karashima, Zhican Wang, Daichi Fujiki, Hongxiang Fan

    Machine Learning

    東京科学大学

  2. 2026 · ICLR

    Best-of-Infinity: Asymptotic Performance of Test-Time LLM Ensembling

    掲載ID: iclr:2026:6023833bb511bbf248c83243f5d10395

    Junpei Komiyama, Daisuke Oba, Masafumi Oyamada

    Machine Learning

    東京科学大学

  3. 2026 · ICLR

    Beyond Match Maximization and Fairness: Retention-Optimized Two-Sided Matching

    掲載ID: iclr:2026:825150adf7ecf1969eabf68afab6f9d3

    Ren Kishimoto, Rikiya Takehi, Koichi Tanaka, Yoji Tomita, Masahiro Nomura, Riku Togashi, Yuta Saito

    Machine Learning

    東京科学大学 / 慶應義塾大学 / 早稲田大学

  4. 2026 · ICLR

    DisTaC: Conditioning Task Vectors via Distillation for Robust Model Merging

    掲載ID: iclr:2026:c056d6cf7b7108418f2b8c307dfaab02

    Kotaro Yoshida, Yuji Naraki, Takafumi Horie, Ryotaro Shimizu, Ioannis Mitliagkas, Hiroki Naganuma

    Machine Learning

    東京科学大学 / 京都大学

  5. 2026 · ICLR

    Disrupting Hierarchical Reasoning: Adversarial Protection for Geographic Privacy in Multimodal Reasoning Models

    掲載ID: iclr:2026:6f244818d72b2a4be9b1225d1344e950

    Jiaming Zhang, CHE WANG, Yang Cao, Longtao Huang, Wei Yang Bryan Lim

    Machine Learning

    東京科学大学

  6. 2026 · ICLR

    EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements

    掲載ID: iclr:2026:0e22eef358cd1d2bdb227e6b832cc775

    Issa Sugiura, Takashi Ishida, Taro Makino, Chieko Tazuke, Takanori Nakagawa, Kosuke Nakago, David Ha

    Machine Learning

    東京科学大学 / 東京大学

  7. 2026 · ICLR

    ELLMob: Event-Driven Human Mobility Generation with Self-Aligned LLM Framework

    掲載ID: iclr:2026:829300b183943850930c3ce36fe04268

    Yusong Wang, Chuang Yang, Jiawei Wang, Xiaohang Xu, Jiayi Xu, Dongyuan Li, Chuan Xiao, Renhe Jiang

    Machine Learning

    東京科学大学 / 名古屋大学 / 東京大学

  8. 2026 · ICLR

    ExpVid: A Benchmark for Experiment Video Understanding & Reasoning

    掲載ID: iclr:2026:86833e97827ff52d297a9fbde5842a81

    Yicheng Xu, Yue Wu, Jiashuo Yu, Ziang Yan, Tianxiang Jiang, Yinan He, Qingsong Zhao, Kai Chen, Yu Qiao, Limin Wang, Manabu Okumura, Yi Wang

    Machine Learning

    東京科学大学

  9. 2026 · ICLR

    Explaining Grokking and Information Bottleneck through Neural Collapse Emergence

    掲載ID: iclr:2026:af5509c72a244497c999ac39ba068ff4

    Keitaro Sakamoto, Issei Sato [東京科学大学] [東京大学]

    Machine Learning

    東京科学大学 / 東京大学

  10. 2026 · ICLR

    Learning Semi-Structured Sparsity for LLMs via Shared and Context-Aware Hypernetwork

    掲載ID: iclr:2026:c615f9e5ad3b90ad58af2cc529bc1528

    Lu Sun, Jun Sakuma

    Machine Learning

    東京科学大学 / 東北大学

  11. 2026 · ICLR

    Light of Normals: Unified Feature Representation for Universal Photometric Stereo

    掲載ID: iclr:2026:8b8ff3f012d423c77dc4503d57f84e88

    Houyuan Chen, Hong Li, Chongjie Ye, Zhaoxi Chen, Bohan Li, Shaocong Xu, xianda guo, Xuhui Liu, Yikai Wang, Baochang Zhang, Satoshi Ikehata, Boxin Shi, Anyi Rao, Hao Zhao

    Machine Learning

    東京科学大学

  12. 2026 · ICLR

    On Fairness of Task Arithmetic: The Role of Task Vectors

    掲載ID: iclr:2026:186c95238d737f419846b244e6bd2f28

    Laura Gomezjurado Gonzalez, Hiroki Naganuma, Kotaro Yoshida, Takafumi Horie, Yuji Naraki, Ryotaro Shimizu

    Machine Learning

    東京科学大学 / 京都大学

  13. 2026 · ICLR

    Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks

    掲載ID: iclr:2026:ab5492f57995409351cbf1a1cdf5f1a4

    Taishi Nakamura, Satoki Ishikawa, Masaki Kawamura, Okamoto, Daisuke Nohara, Jun Suzuki, Rio Yokota

    Machine Learning

    東京科学大学 / 東北大学

  14. 2026 · ICLR

    Rewriting Pre-Training Data Boosts LLM Performance in Math and Code

    掲載ID: iclr:2026:8cc2387522e4473b6de7d0667a5be3ab

    Kazuki Fujii, Yukito Tajima, Sakae Mizuki, Masaki Kawamura, Hinari Shimada, Taihei Shiotani, Koshiro Saito, Masanari Oi, Taishi Nakamura, Okamoto, Shigeki Ishida, Kakeru Hattori, Youmi Ma, Hiroya Takamura, Rio Yokota, Jun Sakuma, Naoaki Okazaki

    Machine Learning

    東京科学大学

  15. 2026 · ICLR

    Robust Deep Reinforcement Learning against Adversarial Behavior Manipulation

    掲載ID: iclr:2026:15b780350b302a1bf9a3bd273f5c15a4

    Shojiro Yamabe, Kazuto Fukuchi, Jun Sakuma

    Machine Learning

    東京科学大学 / 筑波大学

  16. 2026 · ICLR

    Scaling Direct Feedback Learning with Jacobian Alignment Guarantees

    掲載ID: iclr:2026:2b1c608556ce011d3a3381fe0c527136

    Paul Caillon, Erwan Fagnou, Blaise Delattre, Alexandre Allauzen

    Machine Learning

    東京科学大学

  17. 2026 · ICLR

    Stopping Computation for Converged Tokens in Masked Diffusion-LM Decoding

    掲載ID: iclr:2026:e82cfb0ee6ce329759d0d3c90fbbccc4

    Daisuke Oba, Danushka Bollegala, Masahiro Kaneko, Naoaki Okazaki

    Machine Learning

    東京科学大学

  18. 2026 · ICLR

    Toward Safer Diffusion Language Models: Discovery and Mitigation of Priming Vulnerability

    掲載ID: iclr:2026:257c140d25d1f7fc10f8ae5e17296299

    Shojiro Yamabe, Jun Sakuma

    Machine Learning

    東京科学大学

  19. 2026 · ICLR

    Towards Quantization-Aware Training for Ultra-Low-Bit Reasoning LLMs

    掲載ID: iclr:2026:209423f076b6479ab3a4f45886e30306

    Yasuyuki Okoshi, Hikari Otsuka, Daichi Fujiki, Masato Motomura

    Machine Learning

    東京科学大学

  20. 2026 · ICLR

    TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them

    掲載ID: iclr:2026:ecb87120e1e9c68ad186385e146094f4

    Yidong Wang, Yunze Song, Tingyuan Zhu, Xuanwang Zhang, Zhuohao Yu, Hao Chen, Chiyu Song, Qiufeng Wang, Zhen Wu, Xin-Yu Dai, Yue Zhang, Cunxiang Wang, Wei Ye, Shikun Zhang

    Machine Learning

    東京科学大学

  21. 2026 · ICLR

    Understanding Cross-layer Contributions to Mixture-of-Experts Routing in LLMs

    掲載ID: iclr:2026:3efdd3cd3d70da09ec6ed3b3d17d2fd5

    Wengang Li, Lingqi Zhang, Toshio Endo, Mohamed Wahib

    Machine Learning

    東京科学大学

  22. 2026 · ICLR

    Understanding Sensitivity of Differential Attention through the Lens of Adversarial Robustness

    掲載ID: iclr:2026:7514354a089c7df0d9746c0c4ae759f2

    Tsubasa Takahashi, Shojiro Yamabe, Futa Waseda, Kento Sasaki

    Machine Learning

    東京科学大学 / 東京大学

  23. 2026 · ICML

    Aligning Tree-Search Policies with Fixed Token Budgets in Test-Time Scaling of LLMs

    掲載ID: openreview:tgavubx8dx

    Sora Miyamoto, Daisuke Oba, Naoaki Okazaki

    Machine Learning

    東京科学大学

  24. 2026 · ICML

    Autoregressive Direct Preference Optimization

    掲載ID: openreview:dmefafuo6f

    Masanari Oi, Mahiro Ukai, Masahiro Kaneko, Naoaki Okazaki, Nakamasa Inoue

    Machine Learning

    東京科学大学

  25. 2026 · ICML

    Beyond Model Base Retrieval: Weaving Knowledge to Master Fine-grained Neural Network Design

    掲載ID: openreview:96vowrwmqr

    Jialiang Wang, Hanmo Liu, Shimin Di, Zhili Wang, Jiachuan Wang [東京科学大学] [筑波大学], Lei Chen, Xiaofang Zhou

    Machine Learning

    東京科学大学 / 筑波大学

  26. 2026 · ICML

    Beyond Perplexity: UTF-8 Validity in Byte-aware Language Models

    掲載ID: openreview:mvlwhrg71j

    Sangwhan Moon, Daisuke Oba, Youmi Ma, Tatsuya Hiraoka, Naoaki Okazaki

    Machine Learning

    東京科学大学 / 奈良先端科学技術大学院大学

  27. 2026 · ICML

    Certified Robustness under Heterogeneous Perturbations via Hybrid Randomized Smoothing

    掲載ID: openreview:nf7jt1jcsy

    Blaise Delattre, Hengyu WU, Paul Caillon, Wei Yang Bryan Lim, YANG CAO

    Machine Learning

    東京科学大学

  28. 2026 · ICML

    Context-Driven Incremental Compression for Multi-Turn Dialogue Generation

    掲載ID: openreview:zgevmaiilb

    Yeongseo Jung, Jaehyeok Kim, Eunseo Jung, Jiachuan Wang [東京科学大学] [筑波大学], Yongqi Zhang, Ka Chun Cheung, Simon See, Lei Chen

    Machine Learning

    東京科学大学 / 筑波大学

  29. 2026 · ICML

    FreeRet: MLLMs as Training-Free Retrievers

    掲載ID: openreview:0cq8cqvuq4

    Yuhan Zhu, Xiangyu Zeng, Chenting Wang, Xinhao Li, Chunxu Liu, Yicheng Xu, Ziang Yan, Yi Wang, Limin Wang

    Machine Learning

    東京科学大学

  30. 2026 · ICML

    From Correspondence to Actions: Human-Like Multi-Image Spatial Reasoning in Multi-modal Large Language Models

    掲載ID: openreview:wcqevbldlz

    Masanari Oi, Koki Maeda, Ryuto Koike, Daisuke Oba, Nakamasa Inoue, Naoaki Okazaki

    Machine Learning

    東京科学大学

  31. 2026 · ICML

    Multi-Adapter Representation Interventions via Energy Calibration

    掲載ID: openreview:qooamouixn

    Manjiang Yu, Hongji Li, Junwei Chen, Xue Li, Priyanka Singh, YANG CAO, Lijie Hu

    Machine Learning

    東京科学大学

  32. 2026 · ICML

    PhotoAgent: Exploratory Visual Aesthetic Planning with Large Vision Models

    掲載ID: openreview:ws8swql5ob

    Mingde Yao, Zhiyuan You, King-Man Tam, Menglu Wang, Tianfan Xue

    Machine Learning

    東京科学大学

  33. 2026 · ICML

    Systematic Failures in Collective Reasoning under Distributed Information in Multi-Agent LLMs

    掲載ID: openreview:ighbkqallp

    Yuxuan Li, Aoi Naito, Hirokazu Shirado

    Machine Learning

    東京科学大学

  34. 2026 · ICML

    Trading Complexity for Expressivity Through Structured Generalized Linear Token Mixing

    掲載ID: openreview:mcjwxaoyrl

    Erwan Fagnou, Paul Caillon, Blaise Delattre, Alexandre Allauzen

    Machine Learning

    東京科学大学

  35. 2026 · ICML

    Training-Free Guided Diffusion for Planning: A Unified Framework via Doob’s h-Transform with Safety Guarantees

    掲載ID: openreview:9valxstwcg

    Kenta Hoshino, Yashaswi Shashank Aluru, Xiyu Deng, Yorie Nakahira

    Machine Learning

    東京科学大学

  36. 2026 · ICML

    cMoLLM at Scale: Horizontal Scaling Laws for Convolutionally-Gated Mixture-of-LLMs

    掲載ID: openreview:sfjleibtai

    Xin Yang, Yemin Wang, Mingda Liu, Letian Li, Shuaishuai Cao, ZhengXiao He, Ryan Dong

    Machine Learning

    東京科学大学

2025年

  1. 2025 · ICLR

    A General Framework for Off-Policy Learning with Partially-Observed Reward

    掲載ID: iclr:2025:098491b37deebbe6c007e69815729e09

    Rikiya Takehi, Masahiro Asami, Kosuke Kawakami, Yuta Saito

    Machine Learning

    東京科学大学 / 早稲田大学

  2. 2025 · ICLR

    Agent Skill Acquisition for Large Language Models via CycleQD

    掲載ID: iclr:2025:755acd0c7c07180d78959b6d89768207

    So Kuroki, Taishi Nakamura, Takuya Akiba, Yujin Tang

    Machine Learning

    東京科学大学

  3. 2025 · ICLR

    CofCA: A STEP-WISE Counterfactual Multi-hop QA benchmark

    掲載ID: iclr:2025:2628d4d3b054c2d7ad33ab03435204f4

    Jian Wu, Linyi Yang, Zhen Wang, Manabu Okumura, Yue Zhang

    Machine Learning

    東京科学大学

  4. 2025 · ICLR

    Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization

    掲載ID: iclr:2025:d24b7366d714b09a977946ef0d9bf3ad

    Taishi Nakamura, Takuya Akiba, Kazuki Fujii, Yusuke Oda, Rio Yokota, Jun Suzuki

    Machine Learning

    東京科学大学 / 東北大学

  5. 2025 · ICLR

    Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning

    掲載ID: iclr:2025:23a081d2dbdeb531080ced0c2942103a

    Jingyuan Zhang, Yiyang Duan, Shuaicheng Niu, Yang Cao, Wei Yang Bryan Lim

    Machine Learning

    東京科学大学

  6. 2025 · ICLR

    HALL-E: Hierarchical Neural Codec Language Model for Minute-Long Zero-Shot Text-to-Speech Synthesis

    掲載ID: iclr:2025:e32aefe039c94b95505b243e4cff8aa2

    Yuto Nishimura, Takumi Hirose, Masanari Ohi, Hideki Nakayama, Nakamasa Inoue

    Machine Learning

    東京科学大学 / 東京大学

  7. 2025 · ICLR

    Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target Propagation

    掲載ID: iclr:2025:7ab63a5314680e2f083cb288abeaeb8e

    Satoki Ishikawa, Rio Yokota, Ryo Karakida

    Machine Learning

    東京科学大学

  8. 2025 · ICLR

    MMQA: Evaluating LLMs with Multi-Table Multi-Hop Complex Questions

    掲載ID: iclr:2025:794a425a2e47e05d29d30f79b79a692d

    Jian Wu, Linyi Yang, Dongyuan Li, Yuliang Ji, Manabu Okumura, Yue Zhang

    Machine Learning

    東京科学大学 / 東京大学

  9. 2025 · ICLR

    Mastering Task Arithmetic: $\tau$Jp as a Key Indicator for Weight Disentanglement

    掲載ID: iclr:2025:47fee9cd8a252161dec7cb48ec0ca2f2

    Kotaro Yoshida, Yuji Naraki, Takafumi Horie, Ryosuke Yamaki, Ryotaro Shimizu, Yuki Saito, Julian McAuley, Hiroki Naganuma

    Machine Learning

    東京科学大学 / 立命館大学

  10. 2025 · ICLR

    Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment

    掲載ID: iclr:2025:f3024ea88cec9f45a411cf4d51ab649c

    Naoya Hasegawa, Issei Sato [東京科学大学] [東京大学]

    Machine Learning

    東京科学大学 / 東京大学

  11. 2025 · ICLR

    On the Optimal Memorization Capacity of Transformers

    掲載ID: iclr:2025:a6fb8b1284a412543d853bfdddfc8f8e

    Tokio Kajitsuka, Issei Sato [東京科学大学] [東京大学]

    Machine Learning

    東京科学大学 / 東京大学

  12. 2025 · ICLR

    PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis

    掲載ID: iclr:2025:ab41313eaa3cbedbe491c24cbfe6547d

    Satoki Ishikawa, Makoto Yamada, Han Bao, Yuki Takezawa

    Machine Learning

    東京科学大学 / 京都大学 / 沖縄科学技術大学院大学

  13. 2025 · ICLR

    T2V2: A Unified Non-Autoregressive Model for Speech Recognition and Synthesis via Multitask Learning

    掲載ID: iclr:2025:746d2254f6892f3badadb07cc9c0f0da

    Nabarun Goswami, Hanqin Wang [東京大学] [東京科学大学], Tatsuya Harada

    Machine Learning

    東京科学大学 / 東京大学

  14. 2025 · ICML

    Algorithmic Recourse for Long-Term Improvement

    掲載ID: pmlr:v267:kanamori25a

    Kentaro Kanamori, Ken Kobayashi, Satoshi Hara, Takuya Takagi

    Machine Learning

    東京科学大学 / 電気通信大学

  15. 2025 · ICML

    Distributionally Robust Active Learning for Gaussian Process Regression

    掲載ID: pmlr:v267:takeno25a

    Shion Takeno, Yoshito Okura, Yu Inatsu, Aoyama Tatsuya, Tomonari Tanaka, Akahane Satoshi, Hiroyuki Hanada, Noriaki Hashimoto, Taro Murayama [大阪大学] [東京科学大学], Hanju Lee, Shinya Kojima, Ichiro Takeuchi

    Machine Learning

    東京科学大学 / 名古屋工業大学 / 名古屋大学 / 大阪大学

  16. 2025 · ICML

    Enhancing Graph Contrastive Learning for Protein Graphs from Perspective of Invariance

    掲載ID: pmlr:v267:wang25cv

    Yusong Wang, Shiyin Tan, Jialun Shen, Yicheng Xu, Haobo Song, Qi Xu, Prayag Tiwari, Mingkun Xu

    Machine Learning

    東京科学大学 / 東京大学

  17. 2025 · ICML

    Masked Autoencoders Are Effective Tokenizers for Diffusion Models

    掲載ID: pmlr:v267:chen25v

    Hao Chen, Yujin Han, Fangyi Chen, Xiang Li, Yidong Wang, Jindong Wang, Ze Wang, Zicheng Liu, Difan Zou, Bhiksha Raj

    Machine Learning

    東京科学大学

  18. 2025 · ICML

    Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation

    掲載ID: pmlr:v267:yu25f

    Zhuohao Yu, Weizheng Gu, Yidong Wang, Xingru Jiang, Zhengran Zeng, Jindong Wang, Wei Ye, Shikun Zhang

    Machine Learning

    東京科学大学

  19. 2025 · ICML

    Scaling Laws for Floating–Point Quantization Training

    掲載ID: pmlr:v267:sun25j

    Xingwu Sun, Shuaipeng Li, Ruobing Xie, Weidong Han, Kan Wu, Zhen Yang, Yixing Li, An Wang, Shuai Li, Jinbao Xue, Yu Cheng, Yangyu Tao, Zhanhui Kang, Cheng-Zhong Xu, Di Wang, Jie Jiang

    Machine Learning

    東京科学大学

  20. 2025 · ICML

    Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning

    掲載ID: pmlr:v267:he25d

    Run He, Di Fang, Yicheng Xu, Yawen Cui, Ming Li, Cen Chen, Ziqian Zeng, Huiping Zhuang

    Machine Learning

    東京科学大学

  21. 2025 · NeurIPS

    AegisGuard: RL-Guided Adapter Tuning for TEE-Based Efficient & Secure On-Device Inference

    掲載ID: neurips:2025:f308b5f207348484552997c536375654

    CHE WANG, Ziqi Zhang, Yinggui Wang, Tiantong Wang, Yurong Hao, Jianbo Gao, Tao Wei, Yang Cao, Zhong Chen, Wei Yang Bryan Lim

    Machine Learning

    東京科学大学

  22. 2025 · NeurIPS

    Binary Quadratic Quantization: Beyond First-Order Quantization for Real-Valued Matrix Compression

    掲載ID: neurips:2025:e7cf82c8f34920d20299a84b16b720e8

    Kyo Kuroki, Yasuyuki Okoshi, Thiem Van Chu, Kazushi Kawamura, Masato Motomura

    Machine Learning

    東京科学大学 / 早稲田大学

  23. 2025 · NeurIPS

    DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs

    掲載ID: neurips:2025:bbba680acd2826f23928c6675a19f0e7

    Dongyuan Li, Shiyin Tan, Ying Zhang, Ming Jin, Shirui Pan, Manabu Okumura, Renhe Jiang

    Machine Learning

    東京科学大学 / 東京大学

  24. 2025 · NeurIPS

    From Pose to Muscle: Multimodal Learning for Piano Hand Muscle Electromyography

    掲載ID: neurips:2025:a7d80c990c77ae2570087243ec802314

    RUOFAN LIU, YICHEN PENG, Takanori Oku, Chen-Chieh Liao, Erwin Wu, Shinichi Furuya, Hideki Koike

    Machine Learning

    東京科学大学 / 北陸先端科学技術大学院大学 / 芝浦工業大学

  25. 2025 · NeurIPS

    Learning Gradient Boosted Decision Trees with Algorithmic Recourse

    掲載ID: neurips:2025:6ecd51685e2d765bc0ad32a2e73faf62

    Kentaro Kanamori, Ken Kobayashi, Takuya Takagi

    Machine Learning

    東京科学大学

  26. 2025 · NeurIPS

    Masked Gated Linear Unit

    掲載ID: neurips:2025:dd73f39426a03131c38c8d943153d44b

    Yukito Tajima, Nakamasa Inoue, Yusuke Sekikawa, Ikuro Sato, Rio Yokota

    Machine Learning

    東京科学大学

  27. 2025 · NeurIPS

    Provably Efficient RL under Episode-Wise Safety in Constrained MDPs with Linear Function Approximation

    掲載ID: neurips:2025:435e8fbbfc2c6072d4f3a5cb6e56a39a

    Toshinori Kitamura, Arnob Ghosh, Tadashi Kozuno, Wataru Kumagai, Kazumi Kasaura, Kenta Hoshino, Yohei Hosoe, Yutaka Matsuo

    Machine Learning

    東京科学大学 / 京都大学 / 東京大学

  28. 2025 · NeurIPS

    Rethinking Optimal Verification Granularity for Compute-Efficient Test-Time Scaling

    掲載ID: neurips:2025:8011b23e1dc3f57e1b6211ccad498919

    Hao Chen, Guanxi Lu, Yasuyuki Okoshi, Zhiwen Mo, Masato Motomura, Hongxiang Fan

    Machine Learning

    東京科学大学

  29. 2025 · NeurIPS

    SAEMark: Steering Personalized Multilingual LLM Watermarks with Sparse Autoencoders

    掲載ID: neurips:2025:e8ddc03b001d4c4b44b29bc1167e7fdd

    Zhuohao Yu, Xingru Jiang, Weizheng Gu, Yidong Wang, Qingsong Wen, Shikun Zhang, Wei Ye

    Machine Learning

    東京科学大学

  30. 2025 · NeurIPS

    The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model

    掲載ID: neurips:2025:18ddfb199d71a8a24f83abc1ced077b7

    Kaito Takanami, Takashi Takahashi, Ayaka Sakata

    Machine Learning

    東京科学大学 / 東京大学

  31. 2025 · NeurIPS

    UMoE: Unifying Attention and FFN with Shared Experts

    掲載ID: neurips:2025:34bafcb1e8b7ee231c5a796e83d33f9b

    Yuanhang Yang, Chaozheng Wang, Jing Li

    Machine Learning

    東京科学大学

  32. 2025 · NeurIPS

    Variational Learning Finds Flatter Solutions at the Edge of Stability

    掲載ID: neurips:2025:6b61c278e483954fee502b49fe71cd14

    Avrajit Ghosh, Bai Cong, Rio Yokota, Saiprasad Ravishankar, Rongrong Wang, Molei Tao, Mohammad Emtiyaz Khan, Thomas Möllenhoff

    Machine Learning

    東京科学大学

  33. 2025 · NeurIPS

    Visual Thoughts: A Unified Perspective of Understanding Multimodal Chain-of-Thought

    掲載ID: neurips:2025:8a57d66b8e0cc468dbb6574114f60f0c

    ZIhui Cheng, Qiguang Chen, Xiao Xu, Jiaqi Wang, Weiyun Wang, Hao Fei, Yidong Wang, Alex Jinpeng Wang, Zhi Chen, Wanxiang Che, Libo Qin

    Machine Learning

    東京科学大学

  34. 2025 · NeurIPS

    Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search

    掲載ID: neurips:2025:32dff2e27b0da1fb5f4209216a948544

    Yuichi Inoue, Kou Misaki, Yuki Imajuku, So Kuroki, Taishi Nakamura, Takuya Akiba

    Machine Learning

    東京科学大学

2024年

  1. 2024 · ICLR

    Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization

    掲載ID: iclr:2024:ae5bf4f35236240c9460e761c60fa53d

    Guang Lin, Chao Li, Jianhai Zhang, Toshihisa Tanaka [東京農工大学] [東京科学大学], Qibin Zhao

    Machine Learning

    東京科学大学 / 東京農工大学

  2. 2024 · ICLR

    Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators?

    掲載ID: iclr:2024:96ee35c170cb8720033b16259c305da9

    Tokio Kajitsuka, Issei Sato [東京科学大学] [東京大学]

    Machine Learning

    東京科学大学 / 東京大学

  3. 2024 · ICLR

    Diffusion Sampling with Momentum for Mitigating Divergence Artifacts

    掲載ID: iclr:2024:18561617ca0b4ffa293166b3186e04b0

    Suttisak Wisadwongsa, Worameth Chinchuthakun, Pramook Khungurn, Amit Raj, Supasorn Suwajanakorn

    Machine Learning

    東京科学大学

  4. 2024 · ICLR

    Exploring Weight Balancing on Long-Tailed Recognition Problem

    掲載ID: iclr:2024:b2647998bc953781490049fe2ac28bf0

    Naoya Hasegawa, Issei Sato [東京科学大学] [東京大学]

    Machine Learning

    東京科学大学 / 東京大学

  5. 2024 · ICLR

    Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation

    掲載ID: iclr:2024:b54532b0e57eb963b19e00583376cda3

    Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami, Ken Kobayashi, Kazuhide Nakata, Yuta Saito

    Machine Learning

    東京科学大学

  6. 2024 · ICML

    A General Framework for Learning from Weak Supervision

    掲載ID: pmlr:v235:chen24ar

    Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj

    Machine Learning

    東京科学大学 / 東京大学

  7. 2024 · ICML

    Community-Invariant Graph Contrastive Learning

    掲載ID: pmlr:v235:tan24b

    Shiyin Tan, Dongyuan Li, Renhe Jiang, Ying Zhang, Manabu Okumura

    Machine Learning

    東京科学大学 / 東京大学

  8. 2024 · ICML

    Learning Decision Trees and Forests with Algorithmic Recourse

    掲載ID: pmlr:v235:kanamori24a

    Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike

    Machine Learning

    東京科学大学 / 九州大学

  9. 2024 · ICML

    Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning

    掲載ID: pmlr:v235:malekmohammadi24a

    Saber Malekmohammadi, Yaoliang Yu, Yang Cao

    Machine Learning

    東京科学大学

  10. 2024 · ICML

    Position: Towards Implicit Prompt For Text-To-Image Models

    掲載ID: pmlr:v235:yang24o

    Yue Yang, Yuqi Lin, Hong Liu [東京科学大学] [大阪大学], Wenqi Shao, Runjian Chen, Hailong Shang, Yu Wang, Yu Qiao, Kaipeng Zhang, Ping Luo

    Machine Learning

    東京科学大学 / 大阪大学

  11. 2024 · ICML

    RVI-SAC: Average Reward Off-Policy Deep Reinforcement Learning

    掲載ID: pmlr:v235:hisaki24a

    Yukinari Hisaki, Isao Ono

    Machine Learning

    東京科学大学

  12. 2024 · ICML

    Statistical Test for Attention Maps in Vision Transformers

    掲載ID: pmlr:v235:shiraishi24a

    Tomohiro Shiraishi, Daiki Miwa [東京科学大学] [名古屋工業大学], Teruyuki Katsuoka, Vo Nguyen Le Duy, Kouichi Taji, Ichiro Takeuchi

    Machine Learning

    東京科学大学 / 名古屋工業大学 / 名古屋大学

  13. 2024 · ICML

    Variational Learning is Effective for Large Deep Networks

    掲載ID: pmlr:v235:shen24b

    Yuesong Shen, Nico Daheim, Bai Cong, Peter Nickl, Gian Maria Marconi, Bazan Clement Emile Marcel Raoul, Rio Yokota, Iryna Gurevych, Daniel Cremers, Mohammad Emtiyaz Khan, Thomas Möllenhoff

    Machine Learning

    東京科学大学

  14. 2024 · NeurIPS

    ADOPT: Modified Adam Can Converge with Any $\beta_2$ with the Optimal Rate

    掲載ID: neurips:2024:84d286e32bbee8fa3a86ee9c50e00081

    Shohei Taniguchi, Keno Harada, Gouki Minegishi, Yuta Oshima, Seong Cheol Jeong, Go Nagahara [東京大学] [東京科学大学], Tomoshi Iiyama, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo

    Machine Learning

    東京科学大学 / 東京大学

  15. 2024 · NeurIPS

    Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models

    掲載ID: neurips:2024:5c34c2a3462cbfd5e258c29974d60cca

    Yicheng Xu, Yuxin Chen, Jiahao Nie, Yusong Wang, Huiping Zhuang, Manabu Okumura

    Machine Learning

    東京科学大学

  16. 2024 · NeurIPS

    AutoSurvey: Large Language Models Can Automatically Write Surveys

    掲載ID: neurips:2024:d07a9fc7da2e2ec0574c38d5f504d105

    Yidong Wang, Qi Guo, Wenjin Yao, Hongbo Zhang, Xin Zhang, Zhen Wu, Meishan Zhang, Xinyu Dai, Min Zhang, Qingsong Wen, Wei Ye, Shikun Zhang, Yue Zhang

    Machine Learning

    東京科学大学

  17. 2024 · NeurIPS

    Flipping-based Policy for Chance-Constrained Markov Decision Processes

    掲載ID: neurips:2024:760b5def8dcb1156aac454e9c0f5f406

    Xun Shen, Shuo Jiang [東京科学大学] [大阪大学], Akifumi Wachi, Kazumune Hashimoto, Sebastien Gros

    Machine Learning

    東京科学大学 / 大阪大学

  18. 2024 · NeurIPS

    Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations

    掲載ID: neurips:2024:6de71272e0be559af3f76b884e94794b

    Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xiang Li, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj

    Machine Learning

    東京科学大学 / 東京大学

  19. 2024 · NeurIPS

    Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion

    掲載ID: neurips:2024:84f44b36ceb4fbc9bb269959f4796eed

    Masahito Uwamichi, Simon K. Schnyder [東京科学大学] [東京大学], Tetsuya J. Kobayashi, Satoshi Sawai

    Machine Learning

    東京科学大学 / 東京大学

  20. 2024 · NeurIPS

    On Softmax Direct Preference Optimization for Recommendation

    掲載ID: neurips:2024:30732ddb12d9faf7180f5d0e8b5b5da7

    Yuxin Chen, Junfei Tan, An Zhang, Zhengyi Yang, Leheng Sheng, Enzhi Zhang [北海道大学] [東京科学大学], Xiang Wang, Tat-Seng Chua

    Machine Learning

    北海道大学 / 東京科学大学

  21. 2024 · NeurIPS

    Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent

    掲載ID: neurips:2024:aa933b5abc1be30baece1d230ec575a7

    Liu Ziyin, Mingze Wang, Hongchao Li [東京大学] [東京科学大学], Lei Wu

    Machine Learning

    東京科学大学 / 東京大学

  22. 2024 · NeurIPS

    Taming the Long Tail in Human Mobility Prediction

    掲載ID: neurips:2024:6294e6ec40d3599dcc9e9d584d959f5c

    Xiaohang Xu, Renhe Jiang, Chuang Yang, Zipei Fan, Kaoru Sezaki [東京科学大学] [東京大学]

    Machine Learning

    東京科学大学 / 東京大学

2023年

  1. 2023 · ICLR

    Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification

    掲載ID: openreview:kn-ha8dfik

    Hao ZHENG, Runqi Wang, Jianzhuang Liu, Asako Kanezaki

    Machine Learning

    東京科学大学

  2. 2023 · ICLR

    FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

    掲載ID: openreview:pdruptxji_a

    Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Jindong Wang, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele, Xing Xie

    Machine Learning

    東京科学大学

  3. 2023 · ICLR

    Neural Episodic Control with State Abstraction

    掲載ID: openreview:c2fssj3zgiu

    Zhuo Li [東京科学大学] [九州大学], Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma, YAN ZHENG, Yan Song, Yingfeng Chen, Jianjun Zhao

    Machine Learning

    東京科学大学 / 九州大学

  4. 2023 · ICLR

    Neural Lagrangian Schr\"{o}dinger Bridge: Diffusion Modeling for Population Dynamics

    掲載ID: openreview:d3qnwd_pcfv

    Takeshi Koshizuka, Issei Sato [東京科学大学] [東京大学]

    Machine Learning

    東京科学大学 / 東京大学

  5. 2023 · ICLR

    SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning

    掲載ID: openreview:ymt1zqxbdif

    Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides

    Machine Learning

    東京科学大学

  6. 2023 · ICML

    End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization

    掲載ID: pmlr:v202:taniguchi23a

    Shohei Taniguchi, Masahiro Suzuki [東京科学大学] [東京大学], Yusuke Iwasawa, Yutaka Matsuo

    Machine Learning

    東京科学大学 / 東京大学

  7. 2023 · NeurIPS

    Bandit Task Assignment with Unknown Processing Time

    掲載ID: neurips:2023:1c5ee7343f396954377c2c16dda33a96

    Shinji Ito, Daisuke Hatano, Hanna Sumita, Kei Takemura, Takuro Fukunaga, Naonori Kakimura, Ken-Ichi Kawarabayashi

    Machine Learning

    中央大学 / 東京科学大学 / 慶應義塾大学

  8. 2023 · NeurIPS

    Demographic Parity Constrained Minimax Optimal Regression under Linear Model

    掲載ID: neurips:2023:1b4acad19cc425a7352a71d4e4468393

    Kazuto Fukuchi, Jun Sakuma

    Machine Learning

    東京科学大学 / 筑波大学

  9. 2023 · NeurIPS

    ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation

    掲載ID: neurips:2023:98530736e5d94e62b689dfc1fda89bd1

    ya sheng sun, Yifan Yang, Houwen Peng, Yifei Shen, Yuqing Yang, Han Hu, Lili Qiu, Hideki Koike

    Machine Learning

    東京科学大学

  10. 2023 · NeurIPS

    Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules

    掲載ID: neurips:2023:51fd9a7d1706023cb9f8210cc6ac357c

    ZHIYUAN LIU, Yaorui Shi, An Zhang, Enzhi Zhang [北海道大学] [東京科学大学], Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua

    Machine Learning

    北海道大学 / 東京科学大学

  11. 2023 · NeurIPS

    Transfer Learning with Affine Model Transformation

    掲載ID: neurips:2023:3819a070922cc0d19f3d66ce108f28e0

    Shunya Minami, Kenji Fukumizu, Yoshihiro Hayashi, Ryo Yoshida

    Machine Learning

    東京科学大学

2022年

  1. 2022 · ICLR

    Disentanglement Analysis with Partial Information Decomposition

    掲載ID: iclr:2022:eb86d510361fc23b59f18c1bc9802cc6

    Seiya Tokui, Issei Sato [東京科学大学] [東京大学]

    Machine Learning

    東京科学大学 / 東京大学

  2. 2022 · ICLR

    Dropout Q-Functions for Doubly Efficient Reinforcement Learning

    掲載ID: iclr:2022:d61e4bbd6393c9111e6526ea173a7c8b

    Takuya Hiraoka, Takahisa Imagawa, Taisei Hashimoto [東京科学大学] [東京大学], Takashi Onishi, Yoshimasa Tsuruoka

    Machine Learning

    東京科学大学 / 東京大学

  3. 2022 · ICML

    A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks

    掲載ID: pmlr:v162:pan22b

    Yu Pan, Zeyong Su, Ao Liu, Wang Jingquan, Nannan Li, Zenglin Xu

    Machine Learning

    東京科学大学

  4. 2022 · ICML

    Feature Space Particle Inference for Neural Network Ensembles

    掲載ID: pmlr:v162:yashima22a

    Shingo Yashima, Teppei Suzuki, Kohta Ishikawa, Ikuro Sato, Rei Kawakami

    Machine Learning

    東京科学大学

  5. 2022 · ICML

    Multicoated Supermasks Enhance Hidden Networks

    掲載ID: pmlr:v162:okoshi22a

    Yasuyuki Okoshi, Ángel López Garcı́a-Arias, Kazutoshi Hirose, Kota Ando, Kazushi Kawamura, Thiem Van Chu, Masato Motomura, Jaehoon Yu

    Machine Learning

    東京科学大学

  6. 2022 · ICML

    PoF: Post-Training of Feature Extractor for Improving Generalization

    掲載ID: pmlr:v162:sato22a

    Ikuro Sato, Yamada Ryota, Masayuki Tanaka, Nakamasa Inoue, Rei Kawakami

    Machine Learning

    東京科学大学

  7. 2022 · NeurIPS

    Learning Deep Input-Output Stable Dynamics

    掲載ID: neurips:2022:364721b3d5d9da2aaa19adafd7b0f49c

    Ryosuke Kojima [京都大学] [東京科学大学], Yuji Okamoto

    Machine Learning

    東京科学大学 / 京都大学

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