Conferences · eligible papers

ICML

2022–2026 LIVE

ICML 公式サイト ↗

Machine Learning

2025 · 3,330 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. 2025 · ICML

    Training High Performance Spiking Neural Network by Temporal Model Calibration

    Jiaqi Yan, Changping Wang, De Ma, Huajin Tang, Qian Zheng, Gang Pan

    Machine Learning

    日本大学: 関与なし(対象大学)

  2. 2025 · ICML

    Training Software Engineering Agents and Verifiers with SWE-Gym

    Jiayi Pan, Xingyao Wang, Graham Neubig, Navdeep Jaitly, Heng Ji, Alane Suhr, Yizhe Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)

  3. 2025 · ICML

    Training a Generally Curious Agent

    Fahim Tajwar, Yiding Jiang, Abitha Thankaraj, Sumaita Sadia Rahman, J Zico Kolter, Jeff Schneider, Russ Salakhutdinov

    Machine Learning

    日本大学: 関与なし(対象大学)

  4. 2025 · ICML

    Trajectory Inference with Smooth Schrödinger Bridges

    Wanli Hong, Yuliang Shi, Jonathan Niles-Weed

    Machine Learning

    日本大学: 関与なし(対象大学)

  5. 2025 · ICML

    Trajectory World Models for Heterogeneous Environments

    Shaofeng Yin, Jialong Wu, Siqiao Huang, Xingjian Su, Xu He, Jianye Hao, Mingsheng Long

    Machine Learning

    日本大学: 関与なし(対象大学)

  6. 2025 · ICML

    TransPL: VQ-Code Transition Matrices for Pseudo-Labeling of Time Series Unsupervised Domain Adaptation

    Jaeho Kim, Seulki Lee

    Machine Learning

    日本大学: 関与なし(対象大学)

  7. 2025 · ICML

    Transfer Learning for Nonparametric Contextual Dynamic Pricing

    Fan Wang, Feiyu Jiang, Zifeng Zhao, Yi Yu

    Machine Learning

    日本大学: 関与なし(対象大学)

  8. 2025 · ICML

    Transfer Q-Learning with Composite MDP Structures

    Jinhang Chai, Elynn Chen, Lin Yang

    Machine Learning

    日本大学: 関与なし(対象大学)

  9. 2025 · ICML

    Transformative or Conservative? Conservation laws for ResNets and Transformers

    Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré

    Machine Learning

    日本大学: 関与なし(対象大学)

  10. 2025 · ICML

    Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation

    He Li, Haoang Chi, Mingyu Liu, Wanrong Huang, Liyang Xu, Wenjing Yang

    Machine Learning

    日本大学: 関与なし(対象大学)

  11. 2025 · ICML

    Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries

    Huakun Luo, Haixu Wu, Hang Zhou, Lanxiang Xing, Yichen Di, Jianmin Wang, Mingsheng Long

    Machine Learning

    日本大学: 関与なし(対象大学)

  12. 2025 · ICML

    Tree-Sliced Wasserstein Distance with Nonlinear Projection

    Thanh Tran, Hoang V. Tran, Thanh Chu, Huyen Trang Pham, Laurent El Ghaoui, Tam Le, Tan Minh Nguyen

    Machine Learning

    日本大学: 関与なし(対象大学)

  13. 2025 · ICML

    Tree-Sliced Wasserstein Distance: A Geometric Perspective

    Hoang V. Tran, Huyen Trang Pham, Tho Tran Huu, Minh-Khoi Nguyen-Nhat, Thanh Chu, Tam Le, Tan Minh Nguyen

    Machine Learning

    日本大学: 関与なし(対象大学)

  14. 2025 · ICML

    TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree

    Yu-Yang Qian, Yuan-Ze Xu, Zhen-Yu Zhang, Peng Zhao, Zhi-Hua Zhou

    Machine Learning

    日本大学: 関与なし(対象大学)

  15. 2025 · ICML

    Triple-Optimistic Learning for Stochastic Contextual Bandits with General Constraints

    Hengquan Guo, Lingkai Zu, Xin Liu

    Machine Learning

    日本大学: 関与なし(対象大学)

  16. 2025 · ICML

    Trust-Region Twisted Policy Improvement

    Joery A. De Vries, Jinke He, Yaniv Oren, Matthijs T. J. Spaan

    Machine Learning

    日本大学: 関与なし(対象大学)

  17. 2025 · ICML

    Trusted Multi-View Classification with Expert Knowledge Constraints

    Xinyan Liang, Shijie Wang, Yuhua Qian, Qian Guo, Liang Du, Bingbing Jiang, Tingjin Luo, Feijiang Li

    Machine Learning

    日本大学: 関与なし(対象大学)

  18. 2025 · ICML

    Trustworthy Machine Learning through Data-Specific Indistinguishability

    Hanshen Xiao, Zhen Yang, G. Edward Suh

    Machine Learning

    日本大学: 関与なし(対象大学)

  19. 2025 · ICML

    TruthFlow: Truthful LLM Generation via Representation Flow Correction

    Hanyu Wang, Bochuan Cao, Yuanpu Cao, Jinghui Chen

    Machine Learning

    日本大学: 関与なし(対象大学)

  20. 2025 · ICML

    TtBA: Two-third Bridge Approach for Decision-Based Adversarial Attack

    Feiyang Wang, Xingquan Zuo, Hai Huang, Gang Chen

    Machine Learning

    日本大学: 関与なし(対象大学)

  21. 2025 · ICML

    TuCo: Measuring the Contribution of Fine-Tuning to Individual Responses of LLMs

    Felipe Pinto Coelho Nuti, Tim Franzmeyer, Joao F. Henriques

    Machine Learning

    日本大学: 関与なし(対象大学)

  22. 2025 · ICML

    Tuning LLM Judge Design Decisions for 1/1000 of the Cost

    David Salinas, Omar Swelam, Frank Hutter

    Machine Learning

    日本大学: 関与なし(対象大学)

  23. 2025 · ICML

    Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization

    Kyurae Kim, Zuheng Xu, Jacob R. Gardner, Trevor Campbell

    Machine Learning

    日本大学: 関与なし(対象大学)

  24. 2025 · ICML

    Two Tickets are Better than One: Fair and Accurate Hiring Under Strategic LLM Manipulations

    Lee Cohen, Connie Hong, Jack Hsieh, Judy Hanwen Shen

    Machine Learning

    日本大学: 関与なし(対象大学)

  25. 2025 · ICML

    TypyBench: Evaluating LLM Type Inference for Untyped Python Repositories

    Honghua Dong, Jiacheng Yang, Xun Deng, Yuhe Jiang, Gennady Pekhimenko, Fan Long, Xujie Si

    Machine Learning

    日本大学: 関与なし(対象大学)

  26. 2025 · ICML

    UDora: A Unified Red Teaming Framework against LLM Agents by Dynamically Hijacking Their Own Reasoning

    Jiawei Zhang, Shuang Yang, Bo Li

    Machine Learning

    日本大学: 関与なし(対象大学)

  27. 2025 · ICML

    UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models

    Xin Xu, Qiyun Xu, Tong Xiao, Tianhao Chen, Yuchen Yan, Jiaxin Zhang, Shizhe Diao, Can Yang, Yang Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  28. 2025 · ICML

    UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction

    Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin, Juan A. Rodriguez, Montek Kalsi, Nicolas Chapados, M. Tamer Özsu, Aishwarya Agrawal, David Vazquez, Christopher Pal, Perouz Taslakian, Spandana Gella, Sai Rajeswar

    Machine Learning

    日本大学: 関与なし(対象大学)

  29. 2025 · ICML

    UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent

    Jianke Zhang, Yanjiang Guo, Yucheng Hu, Xiaoyu Chen, Xiang Zhu, Jianyu Chen

    Machine Learning

    日本大学: 関与なし(対象大学)

  30. 2025 · ICML

    Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion

    Anle Ke, Xu Zhang, Tong Chen, Ming Lu, Chao Zhou, Jiawen Gu, Zhan Ma

    Machine Learning

    日本大学: 関与なし(対象大学)

  31. 2025 · ICML

    Ultra-Resolution Adaptation with Ease

    Ruonan Yu, Songhua Liu, Zhenxiong Tan, Xinchao Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  32. 2025 · ICML

    UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance

    Fangchen Yu, Yanzhen Chen, Jiaxing Wei, Jianfeng Mao, Wenye Li, Qiang Sun

    Machine Learning

    日本大学: 関与なし(対象大学)

  33. 2025 · ICML

    UnHiPPO: Uncertainty-aware Initialization for State Space Models

    Marten Lienen, Abdullah Saydemir, Stephan Günnemann

    Machine Learning

    日本大学: 関与なし(対象大学)

  34. 2025 · ICML

    Unbiased Evaluation of Large Language Models from a Causal Perspective

    Meilin Chen, Jian Tian, Liang Ma, Di Xie, Weijie Chen, Jiang Zhu

    Machine Learning

    日本大学: 関与なし(対象大学)

  35. 2025 · ICML

    Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning

    Hao Wang, Zhichao Chen, Haotian Wang, Yanchao Tan, Licheng Pan, Tianqiao Liu, Xu Chen, Haoxuan Li, Zhouchen Lin

    Machine Learning

    日本大学: 関与なし(対象大学)

  36. 2025 · ICML

    UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model

    Timo Kaiser, Thomas Norrenbrock, Bodo Rosenhahn

    Machine Learning

    日本大学: 関与なし(対象大学)

  37. 2025 · ICML

    Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory

    Dominik Fuchsgruber, Tom Wollschläger, Johannes Bordne, Stephan Günnemann

    Machine Learning

    日本大学: 関与なし(対象大学)

  38. 2025 · ICML

    Uncertainty Quantification for LLM-Based Survey Simulations

    Chengpiao Huang, Yuhang Wu, Kaizheng Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  39. 2025 · ICML

    Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos

    Tianyi Zhang, Yu Cao, Dianbo Liu

    Machine Learning

    日本大学: 関与なし(対象大学)

  40. 2025 · ICML

    Unconstrained Robust Online Convex Optimization

    Jiujia Zhang, Ashok Cutkosky

    Machine Learning

    日本大学: 関与なし(対象大学)

  41. 2025 · ICML

    Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning

    Rongzhe Wei, Mufei Li, Mohsen Ghassemi, Eleonora Kreacic, Yifan Li, Xiang Yue, Bo Li, Vamsi K. Potluru, Pan Li, Eli Chien

    Machine Learning

    日本大学: 関与なし(対象大学)

  42. 2025 · ICML

    Understanding Chain-of-Thought in LLMs through Information Theory

    Jean-Francois Ton, Muhammad Faaiz Taufiq, Yang Liu

    Machine Learning

    日本大学: 関与なし(対象大学)

  43. 2025 · ICML

    Understanding Complexity in VideoQA via Visual Program Generation

    Cristobal Eyzaguirre, Igor Vasiljevic, Achal Dave, Jiajun Wu, Rares Andrei Ambrus, Thomas Kollar, Juan Carlos Niebles, Pavel Tokmakov

    Machine Learning

    日本大学: 関与なし(対象大学)

  44. 2025 · ICML

    Understanding Fixed Predictions via Confined Regions

    Connor Lawless, Tsui-Wei Weng, Berk Ustun, Madeleine Udell

    Machine Learning

    日本大学: 関与なし(対象大学)

  45. 2025 · ICML

    Understanding Generalization in Quantum Machine Learning with Margins

    Tak Hur, Daniel K. Park

    Machine Learning

    日本大学: 関与なし(対象大学)

  46. 2025 · ICML

    Understanding High-Dimensional Bayesian Optimization

    Leonard Papenmeier, Matthias Poloczek, Luigi Nardi

    Machine Learning

    日本大学: 関与なし(対象大学)

  47. 2025 · ICML

    Understanding Input Selectivity in Mamba: Impact on Approximation Power, Memorization, and Associative Recall Capacity

    Ningyuan Teresa Huang, Miguel Sarabia, Abhinav Moudgil, Pau Rodriguez, Luca Zappella, Federico Danieli

    Machine Learning

    日本大学: 関与なし(対象大学)

  48. 2025 · ICML

    Understanding Mode Connectivity via Parameter Space Symmetry

    Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu

    Machine Learning

    日本大学: 関与なし(対象大学)

  49. 2025 · ICML

    Understanding Model Ensemble in Transferable Adversarial Attack

    Wei Yao, Zeliang Zhang, Huayi Tang, Yong Liu

    Machine Learning

    日本大学: 関与なし(対象大学)

  50. 2025 · ICML

    Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts

    Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu

    Machine Learning

    日本大学: 関与なし(対象大学)

  51. 2025 · ICML

    Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach

    Changdae Oh, Zhen Fang, Shawn Im, Xuefeng Du, Yixuan Li

    Machine Learning

    日本大学: 関与なし(対象大学)

  52. 2025 · ICML

    Understanding Nonlinear Implicit Bias via Region Counts in Input Space

    Jingwei Li, Jing Xu, Zifan Wang, Huishuai Zhang, Jingzhao Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)

  53. 2025 · ICML

    Understanding Overadaptation in Supervised Fine-Tuning: The Role of Ensemble Methods

    Yifan Hao, Xingyuan Pan, Hanning Zhang, Chenlu Ye, Rui Pan, Tong Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)

  54. 2025 · ICML

    Understanding Sharpness Dynamics in NN Training with a Minimalist Example: The Effects of Dataset Difficulty, Depth, Stochasticity, and More

    Geonhui Yoo, Minhak Song, Chulhee Yun

    Machine Learning

    日本大学: 関与なし(対象大学)

  55. 2025 · ICML

    Understanding Synthetic Context Extension via Retrieval Heads

    Xinyu Zhao, Fangcong Yin, Greg Durrett

    Machine Learning

    日本大学: 関与なし(対象大学)

  56. 2025 · ICML

    Understanding and Improving Length Generalization in Recurrent Models

    Ricardo Buitrago, Albert Gu

    Machine Learning

    日本大学: 関与なし(対象大学)

  57. 2025 · ICML

    Understanding and Mitigating Memorization in Diffusion Models for Tabular Data

    Zhengyu Fang, Zhimeng Jiang, Huiyuan Chen, Xiao Li, Jing Li

    Machine Learning

    日本大学: 関与なし(対象大学)

  58. 2025 · ICML

    Understanding and Mitigating Memorization in Generative Models via Sharpness of Probability Landscapes

    Dongjae Jeon, Dueun Kim, Albert No

    Machine Learning

    日本大学: 関与なし(対象大学)

  59. 2025 · ICML

    Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models

    Shuoyuan Wang, Yixuan Li, Hongxin Wei

    Machine Learning

    日本大学: 関与なし(対象大学)

  60. 2025 · ICML

    Understanding the Emergence of Multimodal Representation Alignment

    Megan Tjandrasuwita, Chanakya Ekbote, Liu Ziyin, Paul Pu Liang

    Machine Learning

    日本大学: 関与なし(対象大学)

  61. 2025 · ICML

    Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters

    Hongyi Wan, Shiyuan Ren, Wei Huang, Miao Zhang, Xiang Deng, Yixin Bao, Liqiang Nie

    Machine Learning

    日本大学: 関与なし(対象大学)

  62. 2025 · ICML

    Understanding the Kronecker Matrix-Vector Complexity of Linear Algebra

    Raphael A Meyer, William Joseph Swartworth, David Woodruff

    Machine Learning

    日本大学: 関与なし(対象大学)

  63. 2025 · ICML

    Understanding the Limits of Deep Tabular Methods with Temporal Shift

    Haorun Cai, Han-Jia Ye

    Machine Learning

    日本大学: 関与なし(対象大学)

  64. 2025 · ICML

    Understanding the Logic of Direct Preference Alignment through Logic

    Kyle Richardson, Vivek Srikumar, Ashish Sabharwal

    Machine Learning

    日本大学: 関与なし(対象大学)

  65. 2025 · ICML

    Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism

    Aviv Bick, Eric Xing, Albert Gu

    Machine Learning

    日本大学: 関与なし(対象大学)

  66. 2025 · ICML

    Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees

    Xin Yu, Zelin He, Ying Sun, Lingzhou Xue, Runze Li

    Machine Learning

    日本大学: 関与なし(対象大学)

  67. 2025 · ICML

    Understanding the Unfairness in Network Quantization

    Bing Liu, Wenjun Miao, Boyu Zhang, Qiankun Zhang, Bin Yuan, Jing Wang, Shenghao Liu, Xianjun Deng

    Machine Learning

    日本大学: 関与なし(対象大学)

  68. 2025 · ICML

    Understanding the difficulties of posterior predictive estimation

    Abhinav Agrawal, Justin Domke

    Machine Learning

    日本大学: 関与なし(対象大学)

  69. 2025 · ICML

    UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control

    Kaizhen Zhu, Mokai Pan, Yuexin Ma, Yanwei Fu, Jingyi Yu, Jingya Wang, Ye Shi

    Machine Learning

    日本大学: 関与なし(対象大学)

  70. 2025 · ICML

    UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation

    Qin Guo, Ailing Zeng, Dongxu Yue, Ceyuan Yang, Yang Cao, Hanzhong Guo, Fei Shen, Wei Liu, Xihui Liu, Dan Xu

    Machine Learning

    日本大学: 関与なし(対象大学)

  71. 2025 · ICML

    UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation

    Wangzhi Zhan, Jianpeng Chen, Dongqi Fu, Dawei Zhou

    Machine Learning

    日本大学: 関与なし(対象大学)

  72. 2025 · ICML

    UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design

    Xiangzhe Kong, Zishen Zhang, Ziting Zhang, Rui Jiao, Jianzhu Ma, Wenbing Huang, Kai Liu, Yang Liu

    Machine Learning

    日本大学: 関与なし(対象大学)

  73. 2025 · ICML

    UniSim: A Unified Simulator for Time-Coarsened Dynamics of Biomolecules

    Ziyang Yu, Wenbing Huang, Yang Liu

    Machine Learning

    日本大学: 関与なし(対象大学)

  74. 2025 · ICML

    Unifews: You Need Fewer Operations for Efficient Graph Neural Networks

    Ningyi Liao, Zihao Yu, Ruixiao Zeng, Siqiang Luo

    Machine Learning

    日本大学: 関与なし(対象大学)

  75. 2025 · ICML

    Unified Analysis of Continuous Weak Features Learning with Applications to Learning from Missing Data

    Kosuke Sugiyama, Masato Uchida

    Machine Learning

    日本大学: 早稲田大学

  76. 2025 · ICML

    Unified Breakdown Analysis for Byzantine Robust Gossip

    Renaud Gaucher, Aymeric Dieuleveut, Hadrien Hendrikx

    Machine Learning

    日本大学: 関与なし(対象大学)

  77. 2025 · ICML

    Unified K-Means Clustering with Label-Guided Manifold Learning

    Qianqian Wang, Mengping Jiang, Zhengming Ding, Quanxue Gao

    Machine Learning

    日本大学: 関与なし(対象大学)

  78. 2025 · ICML

    Unified Screening for Multiple Diseases

    Yiğit Narter, Alihan Hüyük, Mihaela Van Der Schaar, Cem Tekin

    Machine Learning

    日本大学: 関与なし(対象大学)

  79. 2025 · ICML

    Uniform Mean Estimation for Heavy-Tailed Distributions via Median-of-Means

    Mikael Møller Høgsgaard, Andrea Paudice

    Machine Learning

    日本大学: 関与なし(対象大学)

  80. 2025 · ICML

    Unifying 2D and 3D Vision-Language Understanding

    Ayush Jain, Alexander Swerdlow, Yuzhou Wang, Sergio Arnaud, Ada Martin, Alexander Sax, Franziska Meier, Katerina Fragkiadaki

    Machine Learning

    日本大学: 関与なし(対象大学)

  81. 2025 · ICML

    Unifying Knowledge from Diverse Datasets to Enhance Spatial-Temporal Modeling: A Granularity-Adaptive Geographical Embedding Approach

    Zhigaoyuan Wang, Ying Sun, Hengshu Zhu

    Machine Learning

    日本大学: 関与なし(対象大学)

  82. 2025 · ICML

    Unifying Specialized Visual Encoders for Video Language Models

    Jihoon Chung, Tyler Zhu, Max Gonzalez Saez-Diez, Juan Carlos Niebles, Honglu Zhou, Olga Russakovsky

    Machine Learning

    日本大学: 関与なし(対象大学)

  83. 2025 · ICML

    Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers

    Hang Zhou, Yuezhou Ma, Haixu Wu, Haowen Wang, Mingsheng Long

    Machine Learning

    日本大学: 関与なし(対象大学)

  84. 2025 · ICML

    Unisoma: A Unified Transformer-based Solver for Multi-Solid Systems

    Shilong Tao, Zhe Feng, Haonan Sun, Zhanxing Zhu, Yunhuai Liu

    Machine Learning

    日本大学: 関与なし(対象大学)

  85. 2025 · ICML

    Universal Approximation Theorem of Deep Q-Networks

    Qian Qi

    Machine Learning

    日本大学: 関与なし(対象大学)

  86. 2025 · ICML

    Universal Approximation of Mean-Field Models via Transformers

    Shiba Biswal, Karthik Elamvazhuthi, Rishi Sonthalia

    Machine Learning

    日本大学: 関与なし(対象大学)

  87. 2025 · ICML

    Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing

    Zijie Qiu, Jiaqi Wei, Xiang Zhang, Sheng Xu, Kai Zou, Zhi Jin, Zhiqiang Gao, Nanqing Dong, Siqi Sun

    Machine Learning

    日本大学: 関与なし(対象大学)

  88. 2025 · ICML

    Universal Length Generalization with Turing Programs

    Kaiying Hou, David Brandfonbrener, Sham M. Kakade, Samy Jelassi, Eran Malach

    Machine Learning

    日本大学: 関与なし(対象大学)

  89. 2025 · ICML

    Universal Neural Optimal Transport

    Jonathan Geuter, Gregor Kornhardt, Ingimar Tomasson, Vaios Laschos

    Machine Learning

    日本大学: 関与なし(対象大学)

  90. 2025 · ICML

    Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment

    Harrish Thasarathan, Julian Forsyth, Thomas Fel, Matthew Kowal, Konstantinos G. Derpanis

    Machine Learning

    日本大学: 関与なし(対象大学)

  91. 2025 · ICML

    Unlocking Post-hoc Dataset Inference with Synthetic Data

    Bihe Zhao, Pratyush Maini, Franziska Boenisch, Adam Dziedzic

    Machine Learning

    日本大学: 関与なし(対象大学)

  92. 2025 · ICML

    Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection

    Peipeng Yu, Jianwei Fei, Hui Gao, Xuan Feng, Zhihua Xia, Chip Hong Chang

    Machine Learning

    日本大学: 関与なし(対象大学)

  93. 2025 · ICML

    Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective

    Junze Deng, Qinhang Wu, Peizhong Ju, Sen Lin, Yingbin Liang, Ness Shroff

    Machine Learning

    日本大学: 関与なし(対象大学)

  94. 2025 · ICML

    Unlocking the Power of SAM 2 for Few-Shot Segmentation

    Qianxiong Xu, Lanyun Zhu, Xuanyi Liu, Guosheng Lin, Cheng Long, Ziyue Li, Rui Zhao

    Machine Learning

    日本大学: 関与なし(対象大学)

  95. 2025 · ICML

    Unnatural Languages Are Not Bugs but Features for LLMs

    Keyu Duan, Yiran Zhao, Zhili Feng, Jinjie Ni, Tianyu Pang, Qian Liu, Tianle Cai, Longxu Dou, Kenji Kawaguchi, Anirudh Goyal, J Zico Kolter, Michael Qizhe Shieh

    Machine Learning

    日本大学: 関与なし(対象大学)

  96. 2025 · ICML

    Unpaired Point Cloud Completion via Unbalanced Optimal Transport

    Taekyung Lee, Jaemoo Choi, Jaewoong Choi, Myungjoo Kang

    Machine Learning

    日本大学: 関与なし(対象大学)

  97. 2025 · ICML

    Unraveling the Interplay between Carryover Effects and Reward Autocorrelations in Switchback Experiments

    Qianglin Wen, Chengchun Shi, Ying Yang, Niansheng Tang, Hongtu Zhu

    Machine Learning

    日本大学: 関与なし(対象大学)

  98. 2025 · ICML

    Unsupervised Learning for Class Distribution Mismatch

    Pan Du, Wangbo Zhao, Xinai Lu, Nian Liu, Zhikai Li, Chaoyu Gong, Suyun Zhao, Hong Chen, Cuiping Li, Kai Wang, Yang You

    Machine Learning

    日本大学: 関与なし(対象大学)

  99. 2025 · ICML

    Unveiling AI’s Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors

    Shuangpeng Han, Mengmi Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)

  100. 2025 · ICML

    Unveiling Markov heads in Pretrained Language Models for Offline Reinforcement Learning

    Wenhao Zhao, Qiushui Xu, Linjie Xu, Lei Song, Jinyu Wang, Chunlai Zhou, Jiang Bian

    Machine Learning

    日本大学: 関与なし(対象大学)