Conferences · eligible papers

ICML

2022–2026 LIVE

ICML 公式サイト ↗

Machine Learning

2026 · 6,341 papers

このEditionに反映済みのmain full research papersのみ掲載しています。著者リンクは日本の大学への著者別所属根拠がある場合に限ります。

  1. 2026 · ICML

    RoboFlow4D: A Lightweight Flow World Model Toward Real-Time Flow-Guided Robotic Manipulation

    Sixu Lin, Junliang Chen, Huaiyuan Xu, Zhuohao Li, Guangming Wang, Yixiong Jing, Sheng Xu, Runyi Zhao, Brian Sheil, Lap-Pui Chau, Guiliang Liu

    Machine Learning

    日本大学: 関与なし(対象大学)

  2. 2026 · ICML

    RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies

    Yinpei Dai, Hongze Fu, Jayjun Lee, Yuejiang Liu, Haoran Zhang, Jianing Yang, Chelsea Finn, Nima Fazeli, Joyce Chai

    Machine Learning

    日本大学: 関与なし(対象大学)

  3. 2026 · ICML

    RoboOmni: Actions Are Just Another Modality for Vision-Language Models

    Dong Wang, Zilong Chen, Jirong Liu, Ziqing Qiao, Xin Xiao, Bingyi Kang, Hongtao Wu, Xiao Ma, Tao Kong, Huaping Liu

    Machine Learning

    日本大学: 関与なし(対象大学)

  4. 2026 · ICML

    RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation

    Tianxing Chen, Zanxin Chen, Baijun Chen, Zijian Cai, Yibin Liu, Zixuan Li, Qiwei Liang, Xianliang Lin, Yiheng Ge, Zhenyu Gu, Weiliang Deng, Yubin Guo, Tian Nian, Xuanbing Xie, Qiangyu Chen, KailunSu, Tianling Xu, Guodong Liu, Mengkang Hu, Huan-ang Gao, Kaixuan Wang, Zhixuan Liang, Yusen Qin, Xiaokang Yang, Ping Luo, Yao Mu

    Machine Learning

    日本大学: 関与なし(対象大学)

  5. 2026 · ICML

    RobuQ: Pushing DiTs to W1.58A2 via Robust Activation Quantization

    Kaicheng Yang, Xun Zhang, Haotong Qin, Yucheng Lin, Kaisen Yang, Xianglong Yan, Yulun Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)

  6. 2026 · ICML

    Robust AI Evaluation through Maximal Lotteries

    Hadi Khalaf, Serena Wang, Daniel Halpern, Itai Shapira, Flavio Calmon, Ariel Procaccia

    Machine Learning

    日本大学: 関与なし(対象大学)

  7. 2026 · ICML

    Robust Bayes-Assisted Conformal Prediction

    Kianoosh Ashouritaklimi, Stefano Cortinovis, Francois Caron

    Machine Learning

    日本大学: 関与なし(対象大学)

  8. 2026 · ICML

    Robust Bayesian Optimisation with Unbounded Corruptions

    Abdelhamid Ezzerg, Ilija Bogunovic, Jeremias Knoblauch

    Machine Learning

    日本大学: 関与なし(対象大学)

  9. 2026 · ICML

    Robust Causal Discovery in Real-World Time Series with Power-Laws

    Matteo Tusoni, Giuseppe Masi, Andrea Coletta, Aldo Glielmo, Viviana Arrigoni, Novella Bartolini

    Machine Learning

    日本大学: 関与なし(対象大学)

  10. 2026 · ICML

    Robust Contextual Optimization with Missing Covariates

    Qingyuan Xu, Ruiwei Jiang

    Machine Learning

    日本大学: 関与なし(対象大学)

  11. 2026 · ICML

    Robust Cross-Modal Retrieval via Generative Semantic Refinement and Exclusion-Guided Adaptation

    Qin Yang, Xin Wei, Yanjia Li, Jiasun Feng, Mingrui Zhu, Nannan Wang, Xinbo Gao

    Machine Learning

    日本大学: 関与なし(対象大学)

  12. 2026 · ICML

    Robust Federated Learning Against Adaptive Compression

    Wenjing Yan, Xiangyu Zhong, Angela Yingjun Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)

  13. 2026 · ICML

    Robust Filter Attention: Self-Attention as a Parallel State Estimator

    Peter Racioppo

    Machine Learning

    日本大学: 関与なし(対象大学)

  14. 2026 · ICML

    Robust Harmful Features Under Jailbreak Attacks: Mechanistic Evidence from Attention Head Specialization in Large Language Models

    Yanchen Yin, Dongqi Han, Linghui Li

    Machine Learning

    日本大学: 関与なし(対象大学)

  15. 2026 · ICML

    Robust Human-AI Complementarity under Uncertainty

    Yewon Byun, Bryan Wilder

    Machine Learning

    日本大学: 関与なし(対象大学)

  16. 2026 · ICML

    Robust In-Context Reinforcement Learning Under Reward Poisoning Attacks

    Paulius Sasnauskas, Yiğit Yalın, Goran Radanovic

    Machine Learning

    日本大学: 関与なし(対象大学)

  17. 2026 · ICML

    Robust Inter-Series Dependency Modeling for Time Series Forecasting via Information-Theoretic Alignment

    Wuqing Yu, Weichen Guo, Jian Zhou, Shuyu Luo, Jiacai Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)

  18. 2026 · ICML

    Robust Learning via Nested Distributionally Robust Optimization

    Jinyi Huang, Jinlong Lei, Guodong Shi

    Machine Learning

    日本大学: 関与なし(対象大学)

  19. 2026 · ICML

    Robust Linear Dueling Bandits with Post-serving Context under Unknown Delays and Adversarial Corruptions

    Youngmin Oh

    Machine Learning

    日本大学: 関与なし(対象大学)

  20. 2026 · ICML

    Robust Multi-View Fusion via Prototype-Anchored Unbalanced Optimal Transport

    Han Zhang, Xingwen Zhao, HUI LI

    Machine Learning

    日本大学: 関与なし(対象大学)

  21. 2026 · ICML

    Robust Parallel Diffusion Sampling via Dynamic Jacobian Bandwidth

    Zile Huang, Ser-Nam Lim

    Machine Learning

    日本大学: 関与なし(対象大学)

  22. 2026 · ICML

    Robust Self-reflective Hashing for Cross-modal Retrieval with Noisy Label

    Hao Sun, Qibing Qin, Lei Huang

    Machine Learning

    日本大学: 関与なし(対象大学)

  23. 2026 · ICML

    Robust Sequential Experimental Design for A/B Testing

    Qianglin Wen, Xiangkun Wu, Chengchun Shi, Ting Li, Niansheng Tang, Yingying Zhang, Hongtu Zhu

    Machine Learning

    日本大学: 関与なし(対象大学)

  24. 2026 · ICML

    Robust Signal Enhancement via Fractional Detail Views and Knowledge Guided Multi-view Fusion

    Zikun Jin, Yuhua Qian, Xinyan Liang, Jiaqian Zhang, Haijun Geng

    Machine Learning

    日本大学: 関与なし(対象大学)

  25. 2026 · ICML

    Robust Stochastic Gradient Posterior Sampling with Lattice Based Discretisation

    Zier Mensch, Lars Holdijk, Samuel Duffield, Maxwell Aifer, Patrick Coles, Max Welling, Miranda C. N. Cheng

    Machine Learning

    日本大学: 関与なし(対象大学)

  26. 2026 · ICML

    Robust Strategic Classification under Decision-Dependent Cost Uncertainty

    Sura Alhanouti, Guzin Bayraksan, Parinaz Naghizadeh

    Machine Learning

    日本大学: 関与なし(対象大学)

  27. 2026 · ICML

    Robust Vision-Language Models via Manifold-Adversarial Adapters

    Hao Li, Zeyu Xiao, Junhao Zhou, Peng Liu, Yang Zhao, Wei Jia

    Machine Learning

    日本大学: 関与なし(対象大学)

  28. 2026 · ICML

    Robust and Consistent Ski Rental with Distributional Advice

    Jihwan Kim, Chenglin Fan

    Machine Learning

    日本大学: 関与なし(対象大学)

  29. 2026 · ICML

    Robust-U1: Can MLLMs Self-Recover Corrupted Visual Content for Robust Understanding?

    Jiaqi Tang, Jianmin Chen, Youyang Zhai, Wei Wei, Runtao Liu, Mengjie Zhao, Xiangyu Wu, Qingfa Xiao, Qifeng Chen

    Machine Learning

    日本大学: 関与なし(対象大学)

  30. 2026 · ICML

    Robustifying Vision-Language Models via Test-Time Prompt Adaptation

    Xingyu Zhu, Huanshen Wu, Shuo Wang, Beier Zhu, Jiannan Ge, Jiaheng Zhang, Long Chen

    Machine Learning

    日本大学: 関与なし(対象大学)

  31. 2026 · ICML

    Robustness of Mixtures of Experts to Feature Noise

    Dong Sun, Rahul Nittala, Rebekka Burkholz

    Machine Learning

    日本大学: 関与なし(対象大学)

  32. 2026 · ICML

    Role-Level Inductive Bias for Cross-Task Generalization in Multi-Agent Reinforcement Learning

    Chang Yao, Youfang Lin, Shoucheng Song, Hao Wu, Shengkun Yang, Yuqing Ma, Kai Lv

    Machine Learning

    日本大学: 関与なし(対象大学)

  33. 2026 · ICML

    Romberg-Extrapolated Zeroth-Order Gradient Estimator: Higher-Order Bias Reduction with Preserved Leading Directional Variance

    Hongcheng Dong, Wenqiang Pu, Licheng Zhao, Rui Zhou, Feng Yin

    Machine Learning

    日本大学: 関与なし(対象大学)

  34. 2026 · ICML

    Root Cause Analysis of Failures in Microservices via Bayesian Root Cause Discovery

    Kenneth Lee, Zihan Zhou, Murat Kocaoglu

    Machine Learning

    日本大学: 関与なし(対象大学)

  35. 2026 · ICML

    Rooted Absorbed Prefix Trajectory Balance with Submodular Replay for GFlowNet Training

    Xi Wang, Wenbo Lu, Shenji Wan

    Machine Learning

    日本大学: 関与なし(対象大学)

  36. 2026 · ICML

    Rotary Position Encodings for Graphs

    Isaac Reid, Arijit Sehanobish, Cederik Höfs, Bruno Mlodozeniec, Leonhard Vulpius, Federico Barbero, Adrian Weller, Krzysztof Choromanski, Richard E Turner, Petar Veličković

    Machine Learning

    日本大学: 関与なし(対象大学)

  37. 2026 · ICML

    Rotation-Invariant Spherical Watermarking via Third-Order SO(3) Representation Coupling

    Pengzhen Chen, Yanwei Liu, Xiaoyan Gu, Antonios Argyriou, Wu Liu, Weiping Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  38. 2026 · ICML

    RouterInterp: Understanding Superposed Specialisation in Mixture of Experts Routing

    Ilya Lasy, Nora Cai, Kola Ayonrinde

    Machine Learning

    日本大学: 関与なし(対象大学)

  39. 2026 · ICML

    Routing and Reasoned Evaluation with Large Language Models

    Guiyao Tie, Tianyao Luo, Xueyang Zhou, Chaoran Hu, Yunhong He, Junran Wu, Yuanfan Yao, Pan Zhou, Lichao Sun

    Machine Learning

    日本大学: 関与なし(対象大学)

  40. 2026 · ICML

    Routing by Reaching: Composition of Pre-trained GFlowNets for Multi-Objective Generation

    Seokwon Yoon, Youngbin Choi, Seunghyuk Cho, Seungbeom Lee, MoonJeong Park, Dongwoo Kim

    Machine Learning

    日本大学: 関与なし(対象大学)

  41. 2026 · ICML

    Row-Stochastic Matrices Can Provably Outperform Doubly Stochastic Matrices in Decentralized Learning

    Bing Liu, Boao Kong, Limin Lu, Kun Yuan, Chengcheng Zhao

    Machine Learning

    日本大学: 関与なし(対象大学)

  42. 2026 · ICML

    RuCL: Stratified Rubric-Based Curriculum Learning for Multimodal Large Language Model Reasoning

    Yukun Chen, Jiaming Li, Longze Chen, Ze Gong, Jingpeng Li, Zhen Qin, Hengyu Chang, Lei Zhang, Ancheng Xu, Zhihao Yang, Hamid Alinejad-Rokny, Qiang Qu, Bo Zheng, Min Yang

    Machine Learning

    日本大学: 関与なし(対象大学)

  43. 2026 · ICML

    Rubric Curriculum RL: Exploiting the Generation-Verification Gap in Non-Verifiable Domains

    Tejas Krishnan, Sumeet Motwani, Charles London, Suhaas Bhat, Huitian Jiao, Phil Torr, Riashat Islam, Christopher Summerfield, Christian Schroeder de Witt, Qilong Gu, Shital Shah

    Machine Learning

    日本大学: 関与なし(対象大学)

  44. 2026 · ICML

    RubricRobustness: Evaluating the Sensitivity of Rubrics-Based Benchmarks to Simple Perturbations

    Manasi Sharma

    Machine Learning

    日本大学: 関与なし(対象大学)

  45. 2026 · ICML

    Rule2DRC: Benchmarking LLM Agents for DRC Script Synthesis with Execution-Guided Test Generation

    Jinuk Kim, Junsoo Byun, Donghwi Hwang, Seong-Jin Park, Hyun Oh Song

    Machine Learning

    日本大学: 関与なし(対象大学)

  46. 2026 · ICML

    RulePlanner: All-in-One Reinforcement Learner for Unifying Design Rules in 3D Floorplanning

    Ruizhe Zhong, Xingbo Du, Junchi Yan

    Machine Learning

    日本大学: 関与なし(対象大学)

  47. 2026 · ICML

    Rényi Diffusion Models

    Yirong Shen, Lu GAN, Cong Ling

    Machine Learning

    日本大学: 関与なし(対象大学)

  48. 2026 · ICML

    S$^3$GNN: Efficient Global Mixing and Local Message Passing for Long-Range Graph Learning

    Dai Shi, Linhan Luo, Luke Thompson, Lequan Lin, Andi Han, Junbin Gao, Jose Miguel Hernandez-Lobato

    Machine Learning

    日本大学: 関与なし(対象大学)

  49. 2026 · ICML

    S-Quant: Rethinking Weight Quantization with Seed-Based Generation

    Mingzi Wang, Lancheng Zou, Shuo Yin, Zhuolun He, Bei Yu

    Machine Learning

    日本大学: 関与なし(対象大学)

  50. 2026 · ICML

    S2GS: Streaming Semantic Gaussian Splatting for Online Scene Understanding and Reconstruction

    Renhe Zhang, Yuyang Tan, Jingyu Gong, Zhizhong Zhang, Lizhuang Ma, Yuan Xie, Xin Tan

    Machine Learning

    日本大学: 関与なし(対象大学)

  51. 2026 · ICML

    S2M-Net: Spectral-Spatial Mixing with Morphology-Aware Adaptive Loss for Medical Image Segmentation

    Sanaullah Chowdhury, Lameya Sabrin

    Machine Learning

    日本大学: 関与なし(対象大学)

  52. 2026 · ICML

    SABER: Continual Learning with Representation Conflict Management

    Xuandi Luo, Huaidong Zhang, Yi Xie, Shengfeng He

    Machine Learning

    日本大学: 関与なし(対象大学)

  53. 2026 · ICML

    SAC-Opt: Semantic Anchors for Iterative Correction in Optimization Modeling

    Yansen Zhang, Qingcan Kang, Yujie chen, Yufei Wang, Xiongwei Han, Tao Zhong, Mingxuan Yuan, Chen Ma

    Machine Learning

    日本大学: 関与なし(対象大学)

  54. 2026 · ICML

    SAD-Flower: Flow Matching for Safe, Admissible, and Dynamically Consistent Planning

    Tzu-Yuan Huang, Armin Lederer, Dai-Jie Wu, Xiaobing Dai, Sihua Zhang, Hsiu-Chin Lin, Shao-Hua Sun, Stefan Sosnowski, Sandra Hirche

    Machine Learning

    日本大学: 関与なし(対象大学)

  55. 2026 · ICML

    SAEmnesia: Erasing Concepts in Diffusion Models with Supervised Sparse Autoencoders

    Enrico Cassano, Riccardo Renzulli, Marco Nurisso, Mirko Zaffaroni, Alan Perotti, Marco Grangetto

    Machine Learning

    日本大学: 関与なし(対象大学)

  56. 2026 · ICML

    SAEs-BrainMap: Unveiling the Emergence of Specialized Concepts in Deep Models via Brain Alignment

    Ziming Mao, Jia Xu, Wenxuan Pan, Mufan Xue, Yaochu Jin, Guoyuan Yang

    Machine Learning

    日本大学: 関与なし(対象大学)

  57. 2026 · ICML

    SAGE-NAS: Synergizing LLM-Based Semantic Agent with Graph-Based Evaluator for Neural Architecture Search

    Kaiqi Lin, Jianping Luo

    Machine Learning

    日本大学: 関与なし(対象大学)

  58. 2026 · ICML

    SAGE: A Dataflow-Native Framework for Modular, Controllable, and Transparent LLM-Augmented Reasoning

    Jun Liu, Peilin Liu, Ruicheng Zhang, Senlei Zhang, Yanbo Chen, Ziao Wang, Jinyun Yang, mingqi wang, Shuhao Zhang, Xiaofei Liao, Hai Jin

    Machine Learning

    日本大学: 関与なし(対象大学)

  59. 2026 · ICML

    SAGE: Shaping Anchors for Guided Exploration in RLVR of LLMs

    Chanuk Lee, Minki Kang, Sung Ju Hwang

    Machine Learning

    日本大学: 関与なし(対象大学)

  60. 2026 · ICML

    SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference

    Hao Ma, Melis Ilayda Bal, Liang Zhang, Bingcong Li, Niao He, Melanie Zeilinger, Michael Muehlebach

    Machine Learning

    日本大学: 関与なし(対象大学)

  61. 2026 · ICML

    SALE : Low-bit Estimation for Efficient Sparse Attention in Long-context LLM Prefilling

    Xiaodong Ji, Hailin Zhang, Fangcheng Fu, Bin Cui

    Machine Learning

    日本大学: 関与なし(対象大学)

  62. 2026 · ICML

    SALSA-V: Shortcut-Augmented Long-form Synchronized Audio from Videos

    Amir Dellali, Luca Lanzendörfer, Florian Grötschla, Roger Wattenhofer

    Machine Learning

    日本大学: 関与なし(対象大学)

  63. 2026 · ICML

    SAM Audio: Segment Anything in Audio

    Bowen Shi, Andros Tjandra, John Hoffman, Helin Wang, YI-CHIAO WU, Luya Gao, Julius Richter, Matthew Le, Apoorv Vyas, Sanyuan Chen, Christoph Feichtenhofer, Piotr Dollár, Wei-Ning Hsu, Ann Lee

    Machine Learning

    日本大学: 関与なし(対象大学)

  64. 2026 · ICML

    SAME: Stabilized Mixture-of-Experts for Multimodal Continual Instruction Tuning

    Zhen-Hao Xie Xie, Jun-Tao Tang, Yu-Cheng Shi, Han-Jia Ye, De-Chuan Zhan, Da-Wei Zhou

    Machine Learning

    日本大学: 関与なし(対象大学)

  65. 2026 · ICML

    SAMT: Generating Structured Avatar Meshes and Textures from a Single Image

    Muyu Wang, Jianzhe Gao, Xingping Dong, Yujia Wang, Wenguan Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  66. 2026 · ICML

    SAOT: Self-Supervised Continual Graph Learning with Structure-Aware Optimal Transport

    Yuting Zhang, Zhitao Xiao, Zhitao Xiao, Lei Geng, Yanwei Pang, Xiao Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  67. 2026 · ICML

    SAQNN: Spectral Adaptive Quantum Neural Network as a Universal Approximator

    Jialiang Tang, Jialin Zhang, Xiaoming Sun

    Machine Learning

    日本大学: 関与なし(対象大学)

  68. 2026 · ICML

    SARL: Structure-Aligned Reinforcement Learning for Bridging the Perception-Action Gap in Airspace

    Binhao Gu, jinjun cai, Weihuang Zheng, Jiaxing Li, Youyong Kong, Hui Ding

    Machine Learning

    日本大学: 関与なし(対象大学)

  69. 2026 · ICML

    SARSteer: Safeguarding Large Audio Language Models via Safe-Ablated Refusal Steering

    Weilin Lin, Jianze Li, Hui Xiong, Li Liu

    Machine Learning

    日本大学: 関与なし(対象大学)

  70. 2026 · ICML

    SC$^{2}$-WM: A Self-Correcting World Model with Closed-Loop Feedback for Vision-and-Language Navigation in Continuous Environments

    Xuan Yao, Yuze Zhu, JUNYU GAO, Zongmeng Wang, Changsheng Xu

    Machine Learning

    日本大学: 関与なし(対象大学)

  71. 2026 · ICML

    SC-FAGC: Size Constrained Fast Anchor-based Graph Clustering

    Jiachen Liu

    Machine Learning

    日本大学: 関与なし(対象大学)

  72. 2026 · ICML

    SCALE: Self-uncertainty Conditioned Adaptive Looking and Execution for Vision-Language-Action Models

    Hyeonbeom Choi, Daechul Ahn, Youhan Lee, Taewook Kang, Seongwon Cho, Jonghyun Choi

    Machine Learning

    日本大学: 関与なし(対象大学)

  73. 2026 · ICML

    SCHUR-A*: Layer-wise Optimal Expert Pruning for MoEs via Schur-Complement Guided A* Search

    Zheng Chen, Weifeng Yang, Jianxiao Tang, Buhui Yao

    Machine Learning

    日本大学: 関与なし(対象大学)

  74. 2026 · ICML

    SCNS: Continual Personalization of Diffusion Models via Submodular Concept Neuron Selection

    Zijie Peng, Enneng Yang, Yifei Cheng, Hongliang Yuan, Fei Ma, Xiaochun Cao, Li Shen

    Machine Learning

    日本大学: 関与なし(対象大学)

  75. 2026 · ICML

    SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text

    Miaobo Hu, Xiaobo Guo, Shuhao Hu, BoKun Wang, Rui Chen, Xin Wang, Jun Xiao, Daren Zha

    Machine Learning

    日本大学: 関与なし(対象大学)

  76. 2026 · ICML

    SCOPE: Evolving Symbolic World for Planning in Open-Ended Environments

    Yundaichuan Zhan, Minghe Gao, Zhongqi Yue, Wendong Bu, Wenqiao Zhang, Guoming Wang, Jisheng Dang, Juncheng Li, Siliang Tang, Yueting Zhuang

    Machine Learning

    日本大学: 関与なし(対象大学)

  77. 2026 · ICML

    SCOPE: Selective Conformal Optimized Pairwise LLM Judging

    Sher Badshah, Ali Emami, Hassan Sajjad

    Machine Learning

    日本大学: 関与なし(対象大学)

  78. 2026 · ICML

    SCORE: A Unified Framework for Overshoot Refund in Online FDR Control

    Qi Kuang, Bowen Gang, Yin Xia

    Machine Learning

    日本大学: 関与なし(対象大学)

  79. 2026 · ICML

    SCOUT: Active Information Foraging for Long-Text Understanding with Decoupled Epistemic States

    Zhenliang Zhang, Wenqing Wang, Yong Hu, Yaming Yang, Jiaheng Gao, Chen Shen, Xiaojun Wan

    Machine Learning

    日本大学: 関与なし(対象大学)

  80. 2026 · ICML

    SCOUT: Cyclic Causal Discovery Under Soft Interventions with Unknown Targets

    Alpar Turkoglu, Muralikrishnna Guruswamy Sethuraman, Faramarz Fekri

    Machine Learning

    日本大学: 関与なし(対象大学)

  81. 2026 · ICML

    SCRWKV: Ultra-Compact Structure-Calibrated Vision-RWKV for Topological Crack Segmentation

    Hanxu Zhang, Chen Jia, Hui Liu, Xu Cheng, Fan Shi, Shengyong Chen

    Machine Learning

    日本大学: 関与なし(対象大学)

  82. 2026 · ICML

    SCalDA: Semantics-Calibrated and Diffusion-Enhanced Data Augmentation

    Shibo Lv, Jianmin Jiang

    Machine Learning

    日本大学: 関与なし(対象大学)

  83. 2026 · ICML

    SCoA: Revisiting Domain Generalized Object Detection with Style-Conditioned Adaptation

    Han Jiang, Wenfei Yang, Tianzhu Zhang, Yongdong Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)

  84. 2026 · ICML

    SD-MoE: Spectral Decomposition for Effective Expert Specialization

    Ruijun Huang, Fang DONG(董方), Xin Zhang, Anrui Chen, Hengjie Cao, Zhendong Huang, Jixian Zhou, Mengyi Chen, Yifeng Yang, Mingzhi Dong, Yujiang Wang, Jinlong Hou, Qin Lv, Robert Dick, Yuan Cheng, Fan Yang, Tun Lu, Chun Zhang, Li Shang

    Machine Learning

    日本大学: 関与なし(対象大学)

  85. 2026 · ICML

    SDiD:Shared diffusion prior for efficient distributed stereo image compression

    Yichong Xia, Yimin Zhou, Zongyu Li, Shiyu Qin, Mingyao Hong, Bin Chen, Haoqian Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  86. 2026 · ICML

    SE(3)-Equivariant Flow Matching with Gaussian Process Priors for Geometric Trajectory Prediction

    Xuyang Wang, Xinzhe Zhou, Xiaoming Duan, Jianping He

    Machine Learning

    日本大学: 関与なし(対象大学)

  87. 2026 · ICML

    SE(n)-Invariant Flow Matching: A General Framework with Application to Object Reassembly

    Gaël Heck, Sylvie Le Hégarat-Mascle, Nicolas Lermé

    Machine Learning

    日本大学: 関与なし(対象大学)

  88. 2026 · ICML

    SE-GA: Memory-Augmented Self-Evolution for GUI Agents

    shilong jin, Lanjun Wang, Zhuosheng Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)

  89. 2026 · ICML

    SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience

    ZEYI SUN, Ziyu Liu, Yuhang Zang, Yuhang Cao, Xiaoyi Dong, Tong Wu, Dahua Lin, Jiaqi Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  90. 2026 · ICML

    SEDRAS: Symbolically Evaluated Deep Research And Science

    Fredrik Carlsson, Dan Ward, Joseph Ortiz, Fangyu Liu, Joakim Nivre

    Machine Learning

    日本大学: 関与なし(対象大学)

  91. 2026 · ICML

    SEER: Transformer-based Robust Time Series Forecasting via Automated Patch Enhancement and Replacement

    Xiangfei Qiu, Xvyuan Liu, Tianen Shen, Xingjian Wu, Hanyin Cheng, Bin Yang, Jilin Hu

    Machine Learning

    日本大学: 関与なし(対象大学)

  92. 2026 · ICML

    SEMA: a Scalable and Efficient Mamba like Attention via Token Localization and Averaging

    Nhat Thanh Tran, Fanghui Xue, shuai zhang, Jiancheng Lyu, Yunling Zheng, YINGYONG QI, Jack Xin

    Machine Learning

    日本大学: 関与なし(対象大学)

  93. 2026 · ICML

    SEMIR: Semantic Minor-Induced Representation Learning on Graphs for Visual Segmentation

    Luke Miller, Yugyung Lee

    Machine Learning

    日本大学: 関与なし(対象大学)

  94. 2026 · ICML

    SENDAI: A Hierarchical Sparse-measurement, EfficieNt Data AssImilation Framework

    Xingyue Zhang, Yuxuan Bao, Mars Liyao Gao, J. Nathan Kutz

    Machine Learning

    日本大学: 関与なし(対象大学)

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