ICML

2022–2026 LIVE

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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
A Progressive Evidence Localization Framework Based on Wasserstein Gradient Flows for Document Visual Question Answering
Haosen Wang, Jing Xiao, Mengqiao Li, Xuanze Wang, Mingzheng Zhang, Xiaowang Zhang, Zhiyong Feng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Provable Expressiveness Hierarchy in Hybrid Linear-Full Attention
Xiaowei Ye, Xiaoyu He, Chao Liao, Chen Wu, Pinyan Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory Constraints
Chengyi Nie, Nian Si, Zijie Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Random Matrix Perspective on the Consistency of Diffusion Models
Binxu Wang, Jacob A Zavatone-Veth, Cengiz Pehlevan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Random Matrix Theory of Masked Self-Supervised Learning
Arie Zurich, Federica Gerace, Bruno Loureiro, Yue Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent Variables
Zheng Li, Feng Xie, Shenglan Nie, Xichen Guo, Ruxin Wang, Hao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Refined Generalization Analysis for Extreme Multi-class Supervised Contrastive Representation Learning
Minh Hieu Nong, Antoine Ledent
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Regime-Aware Trajectory Prediction Framework for 1000+ Systems Biology Models
heng rao, Jason Z Zhang, Yu Gu, Zhenghao Liu, Ge Yu, Jeffrey Su, Yang Cao, Fan Yang, Minghan Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Regret Minimization Framework on Preference Learning in Large Language Models
Suhwan Kim, Taehyun Cho, Youngsoo Jang, Geon-Hyeong Kim, Yu Jin Kim, Moontae Lee, Jungwoo Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Risk Decomposition Framework for Pre-hoc Fine-tuning Prediction
Yuxiang Luo, Chen Wang, Nan Tang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Robust Optimization Guided Pruning Framework for Vision and Large Language Models
Gabriel Afriat, Hussein Hazimeh, Dimitris Paparas, Rahul Mazumder
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Semantically Consistent Dataset for Data-Efficient Query-Based Universal Sound Separation
Kai Li, Jintao Cheng, Chang Zeng, Zijun Yan, Helin Wang, Zixiong Su, Bo Zheng, Xiaolin Hu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Short and Unified Convergence Analysis of the SAG, SAGA, and IAG Algorithms
Feng Zhu, Robert Heath, Aritra Mitra
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Single Layer to Explain Them All: Understanding Massive Values in Large Language Models
Zeru Shi, Zhenting Wang, Fan Yang, Qifan Wang, Ruixiang Tang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Sketch-and-Project Analysis of Subsampled Natural Gradient Algorithms
Gil Goldshlager, Jiang Hu, Lin Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Solvable High-Dimensional Model Where Nonlinear Autoencoders Learn Structure Invisible to PCA While Test Loss Misaligns With Generalization
Vicente Mendes, Lorenzo Bardone, Cédric Koller, Jorge Medina Moreira, Vittorio Erba, Emanuele Troiani, Lenka Zdeborova
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Solver-Free Training Method for Predict-then-Optimize
Beichen Wan, Mo Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Spiking Heterogeneous Harmonic Resonate-and-Fire State Space Model for Time Series
Kartikay Agrawal, Vaishnavi N, Abhijeet Vikram, Vedant Sharma, Ayon Borthakur
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Statistical Framework for Analyzing Specification Resistance to Learnware-Inversion Risks
Hao-Yi Lei, Zhi-Hao Tan, Zhi-Hua Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Strictly Proper Scoring Rule and a Calibration Metric for Interval-Censored Data Analysis
Hiroki Yanagisawa, Shunta Akiyama
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Stronger Benchmark for Online Bilateral Trade: From Fixed Prices to Distributions
Anna Lunghi, Mattia Piccinato, Matteo Castiglioni, Alberto Marchesi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Studentized Spherical Harmonics–Based Nonparametric Two-Sample Test for Compositional and Directional Data
Binglin Li, Matthew Reed, Seong-Tae Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Systematic Study of Behavioral Cloning for Scientific Data Annotation
Ishaan Singh Chandok, Core Francisco Park
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Tale of Two Graphs: Separating Knowledge Exploration from Outline Structure for Open-Ended Deep Research
Zhuofan Shi, Ming Ma, ZekunYao, Fangkai Yang, Jue Zhang, Dongge Han, Victor Ruehle, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization
Zhiyao Zhang, Myeung Suk Oh, Zhen Qin, Jiaxiang Li, Xin Zhang, Jia (Kevin) Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Task-centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula
Chenruo Liu, Yijun Dong, Yiqiu Shen, Qi Lei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Theoretical Framework for Modular Learning of Robust Generative Models
Corinna Cortes, Mehryar Mohri, Yutao Zhong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Theoretical Framework for Statistical Evaluability of Generative Models
Shashaank Aiyer, Yishay Mansour, Shay Moran, Han Shao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Theory of Contrastive Learning with Natural Images
Antonio Torralba, Yair Weiss
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Theory of Data Acquisition and Pricing at Scale
Andrew Ilyas, Amin Saberi, Grigorios Velegkas
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Theory of How Pretraining Shapes Inductive Bias in Fine-Tuning
Nicolas Anguita, Francesco Locatello, Andrew Saxe, Marco Mondelli, Flavia Mancini, Samuel Lippl, Clémentine Dominé
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Tight Theory of Error Feedback Algorithms in Distributed Optimization
Daniel Berg Thomsen, Adrien Taylor, Aymeric Dieuleveut
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Time-Reparameterized Cumulative Intensity Extrapolation Sampler for Discrete Flow Matching
Feiyang Fu, Hehe Fan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Two-Layer Framework for Joint Online Configuration Selection and Admission Control
Owen Shen, Haoran Xu, Yinyu Ye, Peter Glynn, Patrick Jaillet
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Two-Tier Perspective on Inference-Time Parallelism in Multi-Agent LLM Systems
Zihan Xu, Haolin Tian, Hai Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Unified Approach to Interpreting Knowledge Distillation for Large Language Models via Interactions
Qingzhuo Wang, Ruiyang Qin, Zhenxin Qin, Wen Shen, Zhihua Wei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Unified Density Operator View of Flow Control and Merging
Riccardo De Santi, Malte Franke, Ya-Ping Hsieh, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Unified Framework for Deep Hypergraph Clustering Beyond Homophily
Bowen Zhao, Qianqian Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Unified Framework for Diffusion Model Unlearning with f-Divergence
Nicola Novello, Federico Fontana, Luigi Cinque, Deniz Gunduz, Andrea Tonello
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Unified Sparse Attention via Multi-Granularity Compression
Siran Liu, Zheng Cao, Yongchao He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Unifying Relational Perspective on Expressive Lottery Tickets
Lorenz Kummer, Samir Moustafa, Anatol Ehrlich, Franka Bause, Marco Nennstiel, Przemysław Wałęga, Nils M. Kriege
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Unifying View of Variational Generative Wasserstein Flows
Paul Caucheteux, Clément Bonet, Anna Korba
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A Very Big Video Reasoning Suite
Maijunxian Wang, Ruisi Wang, Juyi Lin, Ran Ji, Thaddäus Wiedemer, Qingying Gao, Dezhi Luo, Yaoyao Qian, Lianyu Huang, Zelong Hong, Jiahui Ge, Qianli Ma, Hang He, Yifan Zhou, Lingzi Guo, Lantao Mei, Jiachen Li, Hanwen Xing, Tianqi Zhao, Fengyuan Yu, Weihang Xiao, Yizheng Jiao, Jianheng Hou, Danyang Zhang, Pengcheng Xu, Boyang ZHONG, Zehong Zhao, Gaoyun Fang, John Kitaoka, Xu Yile, Hua XU, Kenton Blacutt, Tin Nguyen, Siyuan Song, Haoran Sun, shaoyue wen, Linyang He, Runming Wang, Yanzhi Wang, Mengyue Yang, Ziqiao Ma, Raphaël Millière, Freda Shi, Nuno Vasconcelos, Daniel Khashabi, Alan Yuille, Yilun Du, Ziming Liu, Dahua Lin, Ziwei Liu, Vikash Kumar, Yijiang Li, Lei Yang, Zhongang Cai, Hokin Deng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A geometric relation of the error introduced by sampling a language model's output distribution to its internal state
Albert F. Modenbach
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A hitchhiker's guide to Poisson gradient estimation
Michael Ibrahim, Hanqi Zhao, Eli Sennesh, Zhi Li, Anqi Wu, Jacob Yates, Chengrui Li, Hadi Vafaii
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A model of errors in transformers
Suvrat Raju, Praneeth Kumar Netrapalli
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A proximal ADMM for multiblock problems with block anti-upper triangular constraints
Zhanwang Deng, Yuqiu Su, Wen Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A recipe for scalable attention-based ML potentials: unlocking long-range accuracy with all-to-all node attention
Eric Qu, Brandon Wood, Aditi Krishnapriyan, Zachary Ulissi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A robust PPG foundation model using multimodal physiological supervision
Eloy Geenjaar, Vince Calhoun, scott daly, Gouthaman KV, Lie Lu, Trisha Mittal, Daniel P. Darcy
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A theory of learning data statistics in diffusion models, from easy to hard
Lorenzo Bardone, Claudia Merger, Sebastian Goldt
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A unified theory of feature learning in RNNs and DNNs
Jan Bauer, Kirsten Fischer, Moritz Helias, Agostina Palmigiano
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A$^2$SG: Adaptive and Asymmetric Surrogate Gradients for Training Deep Spiking Neural Networks
Yechan Kang, Yongjin Kweon, Mingyeong Seo, Sohee Park, Yeonguk jeon, Jongkil Park, Seongsik Park, Jaewook Kim, Yeonjoo Jeong, Suyoun Lee, Seongsik Park
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A-MemGuard: A Proactive Defense Framework For LLM-Based Agent Memory
Qianshan Wei, Tengchao Yang, Yaochen Wang, Xinfeng Li, Lijun Li, Zhenfei Yin, Yi Zhan, Thorsten Holz, Zhiqiang Lin, XiaoFeng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A3: an Analytical Low-Rank Approximation Framework for Attention
Jeffrey T. H. Wong, Cheng Zhang, Xinye Cao, Pedro Gimenes, Christos-Savvas Bouganis, George Constantinides, Wayne Luk, Aaron Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AAD-1: Asymmetric Adversarial Distillation for One-Step Autoregressive Video Generation
Haobo Li, Yanhong Zeng, Yunhong Lu, Jiapeng Zhu, Hao Ouyang, Qiuyu Wang, Ka Leong Cheng, Yujun Shen, Zhipeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ABC-Bench: An Agentic Bio-Capabilities Benchmark for Biosecurity
Andrew Liu, Samira Nedungadi, Bryce Cai, Alex Kleinman, Harmon Bhasin, Seth Donoughe
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ABCD: All Biases Come Disguised
Mateusz Nowak, Xavier Cadet, Peter Chin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ABSINT-AI: Agentic Heap Abstractions for Abstract Interpretation
Michael Wang, Kexin Pei, Armando Solar-Lezama
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AC-ODM: Actor–Critic Online Data Mixing for Sample-Efficient LLM Pretraining
Jing Ma, Chenhao Dang, Mingjie Liao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ACO-MoE-LoRA: Evolving-while-Training for Adapting Segment Anything Model 2 to Specialized Domains
Kaiyi Luo, Bangjun Wang, Li Zhang, Fanzhang Li, Fei Zhu, Jiaqing Fan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ACON: Optimizing Context Compression for Long-horizon LLM Agents
Minki Kang, Wei-Ning Chen, Dongge Han, Huseyin Inan, Lukas Wutschitz, Yanzhi Chen, Robert A Sim, Saravanakumar Rajmohan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ACTG-ARL: Differentially Private Conditional Text Generation with RL-Boosted Control
Yuzheng Hu, Ryan McKenna, Da Yu, Shanshan Wu, Han Zhao, Zheng Xu, Peter Kairouz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ACTIVE-o3 : Empowering MLLMs with Active Perception via Pure Reinforcement Learning
Muzhi Zhu, Hao Zhong, Canyu Zhao, Zongze Du, Mingyu Liu, Zheng Huang, Anzhou Li, Hao Chen, Cheng Zou, Jingdong Chen, Ming Yang, Chunhua Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AD-BTS: Adaptive Dual-Branch Token Sparsification via Spatial Information Density
Xinpei Gao, Xin Luo, Ming Liu, Chunjiang Wang, S Kevin Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AD-MIR: Bridging the Gap from Perception to Persuasion in Advertising Video Understanding via Structured Reasoning
Binxiao Xu, Junyu Feng, Xiaopeng Lin, Haodong Li, ZhiYuan Feng, Bohan Zeng, Ruichuan An, Ming Lu, Qi She, Wentao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ADEPT: RL-Aligned Agentic Decoding of Emotion via Evidence Probing Tools — From Consensus Learning to Ambiguity-Driven Emotion Reasoning
Esther Sun, Bo-Hao Su, Abinay Reddy Naini, Shinji Watanabe, Carlos Busso
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ADHD Disease Detection Based on Short- and Long-Term Brain Function Encoding and Memory Graph Network
Dongxun Jiang, Borui Jia, Yuxuan Wang, Dongdong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AES: Curing Optimizer Blindness in Long-Tailed Recognition via State-Aware Correction
Fanfu Wang, Jiachang Zhan, Zhiheng Gong, Pengkun Wang, Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AG-REPA: Causal Layer Selection for Representation Alignment in Audio Flow Matching
Pengfei Zhang, Tianxin Xie, Yang Minghao, Li Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AGZO: Activation-Guided Zeroth-Order Optimization for LLM Fine-Tuning
Wei LIN, Yining Jiang, Qingyu Song, Qiao Xiang, Hong Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AGoQ: Activation and Gradient Quantization for Memory-Efficient Distributed Training of LLMs
WenXiang Lin, HuangJunTao, LuHan Zhang, Lilaiyi, Xiang Bao, mengyang zhang, BingWang Wang, Shaohuai Shi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AI Cartography: Mapping the Latent Landscape of AI Benchmark Ecosystems
Michael Hardy, Anka Reuel, Lijin Zhang, Jodi Casabianca, Sang Truong, Yash Dave, Hansol Lee, Ben Domingue, Sanmi Koyejo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AI Engram: In Search of Memory Traces in Artificial Intelligence
Jea Kwon, Dong-Kyum Kim, Jiwon Kim, Yonghyun Kim, Woong Kook, MEEYOUNG CHA
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AI4SLT: Empirical Processes in Lean 4 for Formal Statistical Learning Theory
Yuanhe Zhang, Jason Lee, Fanghui Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AICrypto: Evaluating Cryptography Capabilities of Large Language Models
Yu Wang, Yijian Liu, Liheng Ji, Han Luo, Wenjie Li, Xiaofei Zhou, Chiyun Feng, Puji Wang, Yuhan Cao, Geyuan Zhang, Xiaojian Li, Rongwu Xu, Yilei Chen, Tianxing He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AIR-VLA: Vision-Language-Action Systems for Aerial Manipulation
Jianli Sun, Bin Tian, Qiyao Zhang, Chengxiang Li, Zihan Song, Zhiyong Cui, Yisheng Lv, Yonglin Tian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AIR: Improving Agent Safety through Incident Response
Zibo Xiao, Jun Sun, Junjie Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AIR: Post-training Data Selection for Reasoning via Attention Head Influence
Jinrui Liu, Kai Hua, Xuanguang Pan, Ge Zhang, Yong Wang, Shuai Ma, Chongyang Tao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ALAS: Additive Learnable Alpha-Stable Kernels for Flexible Bayesian Optimization
Weibo Huang, Cheng Hua
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ALSO: Adversarial Online Strategy Optimization for Social Agents
Xiang Li, Liping Yi, Mingze Kong, Min Zhang, Zhongxiang Dai, Qinghua Hu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AMA-Bench: Evaluating Long-Horizon Memory for Agentic Applications
Yujie Zhao, Boqin Yuan, Junbo Huang, Haocheng Yuan, Zhongming Yu, Haozhou Xu, Lanxiang Hu, Abhilash Shankarampeta, Zimeng Huang, Wentao Ni, Yuandong Tian, Jishen Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AMDP: Asynchronous Multi-Directional Pipeline Parallelism for Large-Scale Models Training
Ling Chen, Houming Wu, Wenjie Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ANCHOR: Abductive Network Construction with Hierarchical Orchestration for Reliable Probability Inference in Large Language Models
Wentao Qiu, Guanran Luo, Zhongquan Jian, Jingqi Gao, Meihong Wang, Qingqiang Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ANCHOR: Automated Alignment Auditing for CLI Agents on Real-World Harm
Kefan Song, Yanjun Qi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ANTiC: Adaptive Neural Temporal In Situ Compressor
Sandeep Suresh Cranganore, Andrei Bodnar, Gianluca Galletti, Fabian Paischer, Johannes Brandstetter
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AOEB: Benchmarking Agent-Oriented Multimodal Embeddings
Xin Zhang, Jiaxin Xu, mengjia zhou, Xinping Zhao, Yinghui Li, di yin, Xing Sun, Meishan Zhang, Baotian Hu, Wenjie Li, Min zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AOEPT: Breaking the Implicit Modality-Reduction Bottleneck in Modality-Missing Prompt Tuning
Jian Lang, Hong, Ting Zhong, Fan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AOrchestra: Automating Sub-Agent Creation for Agentic Orchestration
Jianhao Ruan, Zhihao Xu, Yiran Peng, Fashen Ren, Zhaoyang Yu, Xinbing Liang, Jinyu Xiang, Yongru Chen, Bang Liu, Chenglin Wu, Yuyu Luo, Jiayi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
APE-Bench: Evaluating Automated Proof Engineering for Formal Math Libraries
Huajian Xin, Zheng Yuan, Jacques Fleuriot, Wenda Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
APEX: Approximate-but-exhaustive search for ultra-large combinatorial synthesis libraries
Aryan Pedawi, Jordi Silvestre-Ryan, Bradley Worley, Darren Hsu, Kushal Shah, Elias Stehle, Jingrong Zhang, Izhar Wallach
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
API: Adaptive Prototype Imputation for Incomplete Multimodal Sentiment Analysis
Xiaotao Wang, Yiyang Fang, Wenke Huang, Bin Yang, Guancheng Wan, Mang Ye
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
APIC: Orthogonalized Neuro-Symbolic Modeling for Nonlinear Dissipative Dynamics
Yanhui Zhu, Xiangfu Meng, Chen Zhao, Yinhao Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ARC-Decode: Accelerated Decoding with Risk-Bounded Acceptance
Ying Li, Zhaode Wang, Zhiwen Chen, chengfei lv, Huan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AREA: Attribute Extraction and Aggregation for CLIP-Based Class-Incremental Learning
Zhen-Hao Xie Xie, Yu-Cheng Shi, Da-Wei Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ARLArena: A Unified Framework for Stable Agentic Reinforcement Learning
Xiaoxuan Wang, Han Zhang, Haixin Wang, Yidan Shi, Ruoyan Li, Kaiqiao Han, Chenyi Tong, Haoran Deng, Alexander Taylor, Renliang Sun, Yanqiao Zhu, Jason Cong, Yizhou Sun, Wei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AReaL-DTA: Dynamic Tree Attention for Efficient Reinforcement Learning of Large Language Models
Jiarui Zhang, Yuchen Yang, Ran Yan, Zhiyu Mei, Liyuan Zhang, Daifeng Li, Wei Fu, Jiaxuan Gao, Shusheng Xu, Yi Wu, Binhang Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ASAP: Exploiting the Satisficing Generalization Edge in Neural Combinatorial Optimization
Han Fang, Paul Weng, Yutong Ban
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ASIR: Steganography for Diffusion Models via Antipodal Sampling and Iterative Recovery
Yaofei Wang, Yufeng Zheng, Han Fang, Wenzhao Cao, Donghui Hu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ASRU: Activation Steering Meets Reinforcement Unlearning for Multimodal Large Language Models
Jiahui Guang, Haiyan Wang, Yingjie Zhu, Cuiyun Gao, Jing Li, Di Shao, Zhaoquan Gu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ASTRA: Communication-Efficient Acceleration for Multi-Device Transformer Inference
Xiao Liu, Lijun Zhang, Deepak Ganesan, Hui Guan
Machine Learning
日本大学: 関与なし（対象大学）