ICML

2022–2026 LIVE

著者一覧 · 国際会議 · 大学ランキング

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。

2026 · ICML
AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detection
Junru Zhang, Lang Feng, Haoran Shi, Xu Guo, Han Yu, Yabo Dong, Duanqing Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Anomaly-Preference Image Generation
Fuyun Wang, Yuanzhi Wang, Xu Guo, Sujia Huang, Tong Zhang, Dan Wang, Xin Liu, Hui Yan, Zhen Cui
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Anti-Aliasing Matters: A Dynamic Network for Time Series Forecasting
Heng Zhou, Xin Sun, Chao LI
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Anti-Backdoor Coreset Selection via Cumulative Entropy
Qi Zhao, Christian Wressnegger
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Anti-causal domain generalization: Leveraging unlabeled data
Sorawit Saengkyongam, Juan L. Gamella, Andrew Miller, Jonas Peters, Nicolai Meinshausen, Christina Heinze-Deml
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Antidistillation Fingerprinting
Yixuan Xu, John Kirchenbauer, Yash Savani, Asher Trockman, Alexander Robey, Tom Goldstein, Fei Fang, Zico Kolter
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture
Shuchen Xue, Tianyu Xie, Tianyang Hu, Zijin Feng, Jiacheng Sun, Kenji Kawaguchi, Zhenguo Li, Zhi-Ming Ma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Any-dimensional invariant universality
Shengtai Yao, Eitan Levin, Mateo D Diaz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Any2Any: Unified Arbitrary Modality Translation for Remote Sensing
Haoyang Chen, Jing Zhang, Di Wang, Hebaixu Wang, Shiqin Wang, Pohsun Huang, Jiayuan Li, Haonan Guo, Zheng Wang, Bo Du
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Any3D-VLA: Enhancing VLA Robustness via Diverse Point Clouds
Xianzhe Fan, Shengliang Deng, Xiaoyang Wu, Yuxiang Lu, Zhuoling Li, Mi Yan, Yujia Zhang, Zhizheng Zhang, He Wang, Hengshuang Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AnyBand-Diff: A Unified Remote Sensing Image Generation and Band Repair Framework with Spectral Priors
Zhao zuopeng, Ying Liu, xiaoyu Li, SuLuo, Lu Li, Wen L
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AnyCanvas: Potential Field Guidance for Training-Free Spatial Control in Text-to-Image Diffusion
Tianyi Xie, Zhiyuan Yu, kaihong huang, Beilun Wang, Zhaoyang Wang, Dian Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AnyEdit++: Adaptive Long-Form Knowledge Editing via Bayesian Surprise
Bowen Tian, Caixue He, Jiemin Wu, Jingying Wang, Wenshuo Chen, Zexi Li, Yutao Yue
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AnyMod-LLVE: Low-Light Video Enhancement with Modality-Agnostic Inference
Hangfeng Liang, Yutao Hu, Yanhan Hu, Xiaohan Wu, WENQI SHAO, Ying Fu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Anytime Detection of Strategic Deviations in Multi-Agent Systems
Etienne Gauthier, Francis Bach, Michael Jordan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Anytime Safe PAC Efficient Reasoning
Chengyao Yu, Hao Zeng, Youxin Zhu, Jianguo Huang, Huajun Zeng, Bingyi Jing
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Anytime-Valid Inference for Online Ranking of Large Language Models
Runzhe Gu, Wenguang Sun, Bowen Gang, Xintao Xia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use
Junzhi Chen, Harsh Trivedi, Jane Pan, Michael Zhang, Tejas Srinivasan, Niranjan Balasubramanian, Ashish Sabharwal
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Approximate Equivariance via Projection-Based Regularisation
Torben Berndt, Jan Stuehmer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Approximate Nearest Neighbor Search for Modern AI: A Projection-Augmented Graph Approach
Kejing Lu, Zhenpeng Pan, Yoshiharu Ishikawa, Chuan Xiao, Jianbin Qin
Machine Learning
日本大学: 名古屋大学 / 大阪大学 / 山梨大学
2026 · ICML
Approximate Proportionality in Online Fair Division
Davin Choo, Winston Fu, Tzeh Yuan Neoh, Tze-Yang Poon, Nicholas Teh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Approximating Drift-Diffusion Models for User Decisions under Nudging and External Information
Gustavo Grivol, Hanna Halaburda, Alexander Tuzhilin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Approximating f -Divergences with Rank Statistics
Viktor Stein, José Manuel de Frutos
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Approximation Bounds for Transformer Networks with Application to Regression
Yuling Jiao, Yanming Lai, Defeng Sun, Yang Wang, Bokai Yan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Approximation Error Upper and Lower Bounds for Hölder Class with Transformers
Xin He, Yuling Jiao, Xiliang Lu, Jerry Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Approximation Preserving Coresets
Milind Prabhu, Chris Schwiegelshohn, Sudarshan Shyam
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Approximation Theory for Lipschitz Continuous Transformers
Takashi Furuya, Davide Murari, Carola-Bibiane Schönlieb
Machine Learning
日本大学: 同志社大学
2026 · ICML
Approximation of Log-Partition Function in Policy Mirror Descent Induces Implicit Regularization for LLM Post-Training
Zhenghao Xu, Qin Lu, Changlong Yu, Tuo Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ArborKV: Structure-Aware KV Cache Management for Scaling Tree-based LLM Reasoning
Yeqiu Chen, Ziyan Liu, Zhenxin Huang, Runquan Gui, Hong Wang, Lei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Arboreal Neural Network
yan wubin, Wei Ma, Shixiang Wan, Dongchen Li, Shaoshun Kang, Qing Yang, Dongliang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ArcDAE: Asymmetric Rectified Contrastive Diffusion Autoencoder for Unified Representation Learning
Ge Gao, Di Xiong, Zeke Xie, Jian Yang, Ge Gao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ArcVQ-VAE: A Spherical Vector Quantization Framework with ArcCosine Additive Margin
Jaeyung Kim, YoungJoon Yoo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Architecture Matters for Multi-Agent Security
Ben Hagag, William Anderson, Christian Schroeder de Witt, Sarah Scheffler
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Are Common Substructures Transferable? Riemannian Graph Foundation Model with Neural Vector Bundles
Li Sun, Zhenhao Huang, Yiding Wang, Qin Chen, Pietro Lió, Philip Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Are First-Order Diffusion Samplers Really Slower? A Fast Forward-Value Approach
Yuchen Jiao, Na Li, Changxiao Cai, Gen Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Are LLM Evaluators Really Narcissists? Sanity Checking Self-Preference Evaluations
Dani Roytburg, Matthew Bozoukov, Matthew Nguyen, Jou Barzdukas, Mackenzie Puig-Hall, Narmeen Oozeer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Are Large Reasoning Models Interruptible?
Tsung-Han (Patrick) Wu, Mihran Miroyan, David Chan, Trevor Darrell, Narges Norouzi, Joseph E Gonzalez
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Are Object-Centric Representations Better at Compositional Generalization?
Ferdinand Kapl, Amir Mohammad Karimi Mamaghan, Maximilian Seitzer, Karl Johansson, Carsten Marr, Stefan Bauer, Andrea Dittadi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Are Tools Always Beneficial? Learning to Invoke Tools Adaptively for Dual-Mode Multimodal LLM Reasoning
Qinghe Ma, Zhen Zhao, Yiming Wu, Jian Zhang, LEI BAI, Yinghuan Shi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Are Two Datasets Close Enough With Statistical Significance? A Kernel Distributional Closeness Testing Approach
Zhijian Zhou, Liuhua Peng, Xunye Tian, Mingming Gong, Feng Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Are VLMs Seeing or Just Saying? Uncovering the Illusion of Visual Re-examination
Chufan Shi, Cheng Yang, Yaokang Wu, Linghao Jin, Bo Shui, Taylor Berg-Kirkpatrick, Xuezhe Ma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Are We Overconfident in Models and Results for Semi-Supervised 3D Medical Image Segmentation?
Jun Li, ZIWEI QIN
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Are Your Agents Upward Deceivers?
Dadi Guo, Qingyu Liu, Dongrui Liu, Qihan Ren, Shuai Shao, Tianyi Qiu, Haoran Li, Yi Fung, Zhongjie Ba, Juntao Dai, Jiaming Ji, Zhikai Chen, Jialing Tao, Yaodong Yang, Jing Shao, Xia Hu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ArenaRL: Scaling RL for Open-Ended Agents via Tournament-based Relative Ranking
Qiang Zhang, Boli Chen, Fanrui Zhang, Ruixue Ding, Shihang Wang, Qiuchen Wang, Yinfeng Huang, Haonan Zhang, Rongxiang Zhu, Xin Li, Houquan zhou, Pengjun Xie, Kaipeng Zhang, Jingren Zhou, Jiawei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Ariadne's Thread of LipSync: Unraveling Forgeries via Inconsistency between Lip Motions and Head Poses
Tianyi She, Jiawei Liu, Weifeng Liu, Hanqing Zhao, Weiming Zhang, Kejiang Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Artemis: Structured Visual Reasoning for Perception Policy Learning
Wei Tang, Yanpeng Sun, Shan Zhang, Weihao Bo, Xiaofan Li, Piotr Koniusz, Wei Li, Na Zhao, Zechao Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Artificial Hippocampus Networks for Efficient Long-Context Modeling
Yunhao Fang, Weihao Yu, Shu Zhong, Qinghao Ye, Xuehan Xiong, Lai Wei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Ask Less, See More: Communication-Conditioned Token Pruning for Vehicle-to-Vehicle Cooperative Autonomous Driving with Multimodal Large Language Models
Shiqi Sun, Yantao Lu, Bingkun Sun, Ning Liu, Bo Jiang, Ying Zhang, Jinchao Chen, Chenglie Du
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Asking What Matters: Reward-Driven Clarification for Software Engineering Tasks
Sanidhya Vijayvargiya, Vijay Viswanathan, Graham Neubig
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Assistive Prompt Mediation: Evaluating Language Models Under Accessibility Constraints
Priyaranjan Pattnayak, Ishan Banerjee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Asymmetric Contrastive Objectives for Efficient Phenotypic Screening
Luke Nightingale, Joseph Tuersley, Scott Warchal, Andrea Cairoli, Jacob Howes, Cameron Shand, Andrew Powell, Darren Green, Amy Strange, Michael Howell
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Asymmetric Multi-View Clustering with Hyperbolic Uncertainty Modeling
Yiming Wang, Qun Li, Dongxia Chang, Jie Wen, Hua Dai, Fu Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization
Kenshi Abe, Mitsuki Sakamoto, Kaito Ariu, Atsushi Iwasaki
Machine Learning
日本大学: 東北大学 / 電気通信大学
2026 · ICML
Asymmetric Prompt Weighting for Reinforcement Learning with Verifiable Rewards
Reinhard Heckel, Mahdi Soltanolkotabi, Christos Thrampoulidis
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Asymmetric conformal prediction with penalized kernel sum-of-squares
Louis Allain, Sébastien Da Veiga, Brian Staber
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Asymptotic Optimality of the High-Dimensional Gaussian Mechanism and Improved Low-Dimensional Mechanisms for Differential Privacy
Alexander Bienstock, Antigoni Polychroniadou, Yu Wei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Asymptotic Theory of Iterated Empirical Risk Minimization, with Applications to Active Learning
Hugo Cui, Yue Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Asymptotic Universal Alignment: A New Alignment Framework via Test-Time Scaling
Yang Cai, Weiqiang Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Asymptotically Fast Clebsch-Gordan Tensor Products with Vector Spherical Harmonics
YuQing Xie, Ameya Daigavane, Mit Kotak, Tess Smidt
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Asymptotically Optimal Sequential Testing with Markovian Data
Alhad Sethi, SOFIA SAGAR KAVALI, Shubhada Agrawal, Debabrota Basu, P. N. Karthik
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AsyncSpade: Efficient Test-Time Scaling with Asynchronous Sparse Decoding
Shuqing Luo, Yilin Guan, Pingzhi Li, Hanrui Wang, Tianlong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization
Praneet Suresh, Jack Stanley, Sonia Joseph, Luca Scimeca, Danilo Bzdok
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AtelierEval: Agentic Evaluation of Humans & LLMs as Text-to-Image Prompters
Hanjun Luo, Zhimu Huang, Sylvia Chung Yan Shan, Yiran Wang, Yingbin Jin, Jialin Li, Jiang Li, Xinfeng Li, Hanan Salam
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AtomWorld: A Benchmark for Evaluating Spatial Reasoning in Large Language Models on Material Structures
Taoyuze Lv, Alexander Chen, Fengyu Xie, Chu Wu, Jeffrey Meng, Dongzhan Zhou, Bram Hoex, Yingheng Wang, Zhicheng Zhong, Tong Xie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Attacking Gray-Box Large Vision-Language Models with Adaptive SVD-Structured Adversarial Alignment
Daizong Liu, Xiaowen Cai, Junhao Dong, Zhongliang Guo, Xiaoye Qu, Runwei Guan, Xiang Fang, Dengpan Ye
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Attacks on Machine-Text Detectors Retain Stylistic Fingerprints
Rafael Rivera Soto, Barry Chen, Nicholas Andrews
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Attend to Anything: Foundation Model for Unified Human Attention Modeling
Wenzhuo Zhao, Ronghao Xian, Keren Fu, Qijun Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Attention Hijacking: Backdooring Text Dataset Distillation via Semantic Anchors
Hang Ren, Xin Wang, Tong Yue, Chen Wen, Junqing Le
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Attention Illuminates LLM Reasoning: The Uncovered Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization
Yang Li, Zhichen Dong, Yuhan Sun, Weixun Wang, Shaopan Xiong, Yijia Luo, Jiashun Liu, Han Lu, Jiamang Wang, Wenbo Su, Bo Zheng, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Attention Implements the Fisher Geometry of Exponential Families
Bodie Rubacher
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Attention Projection Mixing with Exogenous Anchors
Jonathan Su
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Attention Sink Forges Native MoE in Attention Layers: Sink-Aware Training to Address Head Collapse
Zizhuo Fu, Wenxuan Zeng, Runsheng Wang, Meng Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Attention Sinks as Internal Signals for Hallucination Detection in Large Language Models
Jakub Binkowski, Kamil Adamczewski, Tomasz Kajdanowicz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Attention Sinks in Diffusion Transformers: A Causal Analysis
FANGZHENG WU, Brian Summa
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Attention Sparsity is Input-Stable: Training-Free Sparse Attention for Video Generation via Offline Sparsity Profiling and Online QK Co-Clustering
Jiayi Luo, Jiayu Chen, Jiankun Wang, Cong Wang, Hanxin Zhu, Qingyun Sun, Chen Gao, Zhibo Chen, Jianxin Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Attention with Routed-Memory for Learnable Sparse Control
QIUHAO Zeng, Jerry Huang, Peng Lu, Ruiyi Fang, Gezheng Xu, Zihao Jing, Yufei Cui, Charles X. Ling, Gang Niu, Boyu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Attention's forward pass and Frank-Wolfe
Albert Alcalde, Borjan Geshkovski, Domènec Ruiz-Balet
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Attentive Multi-Layer Fusion for Vision Transformers
Laure Ciernik, Marco Morik, Lukas Thede, Luca Eyring, Shinichi Nakajima, Zeynep Akata, Lukas Muttenthaler
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Attn-QAT: 4-Bit Attention With Quantization-Aware Training
Peiyuan Zhang, Matthew Noto, Wenxuan Tan, Chengquan Jiang, Will Lin, Wei Zhou, Hao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Attributed Network Alignment: Statistical Limits and Efficient Algorithm
Dong Huang, Chenyang Tian, Pengkun Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Attribution-Guided and Coverage-Maximized Pruning for Structural MoE Compression
Yifu Ding, jiacheng wang, Ge Yang, Yongcheng Jing, Jinyang Guo, Xianglong Liu, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AuTAgent: A Reinforcement Learning Framework for Tool-Augmented Audio Reasoning
Siqian Tong, Xuan Li, Yiwei Wang, Baolong Bi, Yujun Cai, Shenghua Liu, Yuchen He, Chengpeng Hao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AudioChat: Unified Audio Storytelling, Editing, and Understanding with Transfusion Forcing
William Chen, Prem Seetharaman, Rithesh Kumar, Oriol Nieto, Shinji Watanabe, Justin Salamon, Zeyu Jin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AudioMosaic: Contrastive Masked Audio Representation Learning
Hanxun Huang, Qizhou Wang, Xingjun Ma, Cihang Xie, Christopher Leckie, Sarah Erfani
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Auditing Sybil: Explaining Deep Lung Cancer Risk Prediction Through Generative Interventional Attributions
Bartlomiej Sobieski, Jakub Grzywaczewski, Karol Dobiczek, Mateusz Wójcik, Tomasz Bartczak, Szatkowski Patryk, Przemysław Bombiński, Matthew Tivnan, Przemysław Biecek
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AugMask: Training Diffusion Models on Incomplete Tabular Data via Stochastic Augmentation and Masking
Jungkyu Kim, Taeyoung Park, Kibok Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AugServe: Adaptive Request Scheduling for Augmented Large Language Model Inference Serving
Ying Wang, Zhen Jin, Zhenqian Chen, Jiexiong Xu, Wenhai Lin, Yiquan Chen, Wenzhi CHEN
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Auto-regressive In-context Demonstration Selection
Yunzhe Qi, Sirui Chen, Jiaru Zou, Jingrui He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AutoBaxBuilder: Bootstrapping Code Security Benchmarking
Tobias von Arx, Niels Mündler, Mark Vero, Maximilian Baader, Martin Vechev
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AutoControl Arena: Synthesizing Executable Test Environments for Frontier AI Risk Evaluation
Changyi Li, Pengfei Lu, Xudong Pan, Fazl Barez, Min Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AutoMS: Multi-Agent Evolutionary Search for Cross-Physics Inverse Microstructure Design
Zhenyuan Zhao, Yu Xing, Tianyang Xue, Lingxin Cao, Xin Yan, Lin Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AutoMat: Physics-Guided Agentic Reasoning for Solving Ill-Posed Inverse Microscopy Problems
Yaotian Yang, Yiwen Tang, Yizhe Chen, Xiao Chen, Jiangjie Qiu, Hao Xiong, Haoyu Yin, Zhiyao Luo, Yifei Zhang, Sijia Tao, Wentao Li, Qinghua Zhang, Yuqiang Li, Wanli Ouyang, Bin Zhao, Xiaonan Wang, Fei Wei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AutoMoT: A Unified Vision-Language-Action Model with Asynchronous Mixture -of-Transformers for End-to-End Autonomous Driving
Wenhui (Oscar) Huang, Songyan Zhang, Qihang Huang, Zhidong Wang, zhiqi mao, Collister Chua, Chen Zhan, Long Chen, Chen Lv
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AutoNumerics-Zero: Automated Discovery of State-of-the-Art Mathematical Functions
Esteban Real, Mirko Rossini, Connal de Souza, Manav Garg, Moritz Firsching, Quoc Le, Yao Chen, Akhil Verghese, Ekin Dogus Cubuk, David Park
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AutoQRA: Joint Optimization of Mixed-Precision Quantization and Low-rank Adapters for Efficient LLM Fine-Tuning
Changhai Zhou, Shiyang Zhang, Yuhua Zhou, Qian Qiao, Jun Gao, Cheng Jin, KAIZHOU QIN, Weizhong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AutoRAS: Learning Robust Agentic Systems with Primitive Representations
Yang Yue, Xuancheng Zhu, YuYang Ma, Guoshun Nan, Zihan Dou, JingRu Shan, Congyu Guo, Ji Zhang, Hua Wang, Jingfeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AutoRPA: Efficient GUI Automation through LLM-Driven Code Synthesis from Interactions
Minghao Chen, Xinyi Hu, Zhou Yu, Yufei Yin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AutoSizer: Automatic Sizing of Analog and Mixed-Signal Circuits via Large Language Model (LLM) Agents
Xi Yu, Dmitrii Torbunov, Soumyajit Mandal, Yihui Ren
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning
Jiaru Zou, Ling Yang, Yunzhe Qi, Sirui Chen, Mengting Ai, Ke Shen, Jingrui He, Mengdi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AutoVSR: Automatic Visual-to-Symbolic Reasoning for Symbolic Expression Generation from Circuit Schematic
Zhe Xiao, Longfei Li, Xu He, Haoying Wu, Zixing Zhang, Mingyu Liu
Machine Learning
日本大学: 関与なし（対象大学）