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
ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models
Yujie Lin, Chengyi Yang, Zhishang Xiang, YIPING SONG, Jinsong Su
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Zeroth-Order Forward-Only SNN Training Inspiring Neuromorphic On-Chip Learning
Mingyue Qin, Shuyu Yin, Qinghai Guo, Peilin Liu, Xiaolin Huang, Fei Wen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Zeroth-Order Non-Log-Concave Sampling with Variance Reduction and Applications to Inverse Problems
Mehmet Berk Sahin, Behzad Sharif, Abolfazl Hashemi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Zeroth-Order Optimization at the Edge of Stability
Minhak Song, Liang Zhang, Bingcong Li, Niao He, Michael Muehlebach, Sewoong Oh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis
Yisong Fu, Zezhi Shao, Chengqing Yu, Yujie Li, Yongjun Xu, Xueqi Cheng, Fei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ZipMoE: Efficient On-Device MoE Serving via Lossless Compression and Cache-Affinity Scheduling
Yuchen Yang, Yaru Zhao, Pu Yang, Shaowei Wang, Zhi-Hua Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception
Lai Wei, Liangbo He, jun lan, Lingzhong Dong, Yutong Cai, Siyuan Li, Huijia Zhu, Weiqiang Wang, Linghe Kong, Yue Wang, Zhuosheng Zhang, Weiran Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
[CLS] is Not Enough: Multi-Label Recognition via Patch-Level Inference and Adaptive Aggregation
Akang Wang, Xili Deng, Zhanxuan Hu, Yi Zhao, Yonghang Tai, Huafeng Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
``Someone Hid It!'': Query-Agnostic Black-Box Attacks on LLM-Based Retrieval
Jiate Li, Defu Cao, Li Li, Wei Yang, Yuehan Qin, Chenxiao Yu, Tiannuo Yang, Ryan A Rossi, Yan Liu, Xiyang Hu, Yue Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
cMoLLM at Scale: Horizontal Scaling Laws for Convolutionally-Gated Mixture-of-LLMs
Xin Yang, Yemin Wang, Mingda Liu, Letian Li, Shuaishuai Cao, ZhengXiao He, Ryan Dong
Machine Learning
日本大学: 東京科学大学
2026 · ICML
cuRegOT: A GPU-Accelerated Solver for Entropic-Regularized Optimal Transport
Yixuan Qiu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
d$^2$p: Structured Soft Attention Is All You Need
Casey Mogilevsky, Kimberly Liang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
d2: Improving Reasoning in Diffusion Language Models via Trajectory Likelihood Estimation
Guanghan Wang, Gilad Turok, Yair Schiff, Marianne Arriola, Volodymyr Kuleshov
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation
Yu-Yang Qian, Junda Su, Lanxiang Hu, Peiyuan Zhang, Zhijie Deng, Peng Zhao, Hao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching
Zhiyuan Liu, Yicun Yang, Yaojie Zhang, Junjie Chen, Chang Zou, Qingyan Wei, Shaobo Wang, Yichen Zhu, Linfeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
dTRPO : Trajectory Reduction in Policy Optimization of Diffusion Large Language Models
Wenxuan Zhang, Lemeng Wu, Changsheng Zhao, Ernie Chang, Mingchen Zhuge, Zechun Liu, DiJia Su, Hanxian Huang, Jun Chen, Chong Zhou, Raghuraman Krishnamoorthi, Vikas Chandra, Mohamed Elhoseiny, Wei Wen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
daVinci-Dev: Agent-native Mid-training for Software Engineering
Ji Zeng, Dayuan Fu, Tiantian Mi, Zhuang Yumin, Yaxing Huang, Xuefeng Li, Lyumanshan Ye, Muhang Xie, Qishuo Hua, Zhen Huang, Mohan Jiang, Hanning Wang, Shijie Xia, Yang Xiao, Jie Sun, Yunze Wu, Pengfei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
dgMARK: Decoding-Guided Watermarking for Diffusion Language Models
Pyo Min Hong, Albert No
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
dnaHNet: A Scalable and Hierarchical Foundation Model for Genomic Sequence Learning
Arnav Shah, Junzhe Li, Parsa Idehpour, Adibvafa Fallahpour, Brandon Wang, Sukjun Hwang, BO WANG, Patrick Hsu, Hani Goodarzi, Albert Gu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ePC: Fast and Deep Predictive Coding in Digital Simulation
Cédric Goemaere, Gaspard Oliviers, Rafal Bogacz, Thomas Demeester
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
gp2Scale: A Class of Compactly Supported Non-Stationary Kernels and Distributed Computing for Exact Gaussian Processes on 10 Million Data Points
Marcus Noack, Mark Risser, HENGRUI LUO, Vardaan Tekriwal, Ronald Pandolfi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
h1: Bootstrapping LLMs to Reason over Longer Horizons via Reinforcement Learning
Alesia Ivanova, Sumeet Motwani, Jack Cai, Phil Torr, Riashat Islam, Shital Shah, Christian Schroeder de Witt, Charles London
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
iGRPO: Fast Online RL for Flow Matching Model with Instant Reward
Sucheng Ren, Chen Chen, Zhenbang Wang, Liangchen Song, Xiangxin Zhu, Yinfei Yang, Jiasen Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
iLoRA: Bayesian Low-Rank Adaptation with Latent Interaction Graphs for Microbiome Diagnosis
Yang Song, Yixuan Zhang, Lingfa Meng, Tongyuan Hu, Haizhou Shi, Hao Wang, Samir Bhatt, Hengguan Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
iTryOn: Mastering Interactive Video Virtual Try-On with Spatial-Semantic Guidance
Jun Zheng, Zhengze Xu, Mengting Chen, Chen Wenyin, Jinsong Lan, Xiaoyong Zhu, Kaifu Zhang, Bo Zheng, Xiaodan Liang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
iVGR: Internalizing Visually Grounded Reasoning for MLLMs with Reinforcement Learning
Changbin Zhang, Yujie Zhong, Qiang Zhang, Kai Han
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
iWorld-Bench: A Benchmark for Interactive World Models with a Unified Action Generation Framework
Jianjie Fang, Yingshan Lei, Qin Wan, Ziyou Wang, Yuchao Huang, Yongyan Xu, Baining Zhao, Weichen Zhang, Chen Gao, Xinlei Chen, Yong Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
mHC: Manifold-Constrained Hyper-Connections
Zhenda Xie, Yixuan Wei, Huanqi Cao, Chenggang Zhao, Chengqi Deng, Jiashi Li, Damai Dai, Huazuo Gao, Mingyu Xu, Kuai Yu, Liang Zhao, Shangyan Zhou, Zhean Xu, Zhengyan Zhang, Wangding Zeng, Shengding Hu, Yuqing Wang, Jingyang Yuan, Lean Wang, Wenfeng Liang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
miniF2F-Dafny: LLM-Guided Mathematical Theorem Proving via Auto-Active Verification
Mantas Baksys, Stefan Zetzsche, Olivier Bouissou, Sean B Holden
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
mmBERT: A Modern Multilingual Encoder with Annealed Language Learning
Marc Marone, Orion Weller, William Fleshman, Eugene Yang, Dawn Lawrie, Benjamin Van Durme
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
nD-RoPE: A Generalized RoPE for n-Dimensional Position Embedding
Boyang Li, Yulin Wu, Sizhe Xu, Nuoxian Huang, Zhonghang Yuan, Shangyi Guo, Shu Yang, Takahiro Yabe
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
pTNAS: Progressive Neural Architecture Search for Tabular Data
Naili Xing, Shaofeng Cai, Lingze Zeng, Jiaqi Zhu, Peng LU, Jian Pei, Beng Chin Ooi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
rePIRL: Learn PRM with Inverse RL for LLM Reasoning
Xian Wu, Kaijie Zhu, Ying Zhang, Lun Wang, Wenbo Guo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
scCBGM: Single-Cell Editing via Concept Bottlenecks
Alma Andersson, Aya Ismail, Edward De Brouwer, Doron Haviv, Tommaso Biancalani, Kyunghyun Cho, Gabriele Scalia, Aicha BenTaieb, Hector Corrada Bravo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
scChord: A Probabilistic Manifold Rectification Framework for RNA-to-Protein Translation
Jiawei Zhang, Kangjun Jin, Shuai Xiao, Jiachen Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
scDEBART: Predicting in silico Single-Cell Perturbation Responses via Large-Scale Differential Expression Learning
Jieun Sung, Wankyu Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
scDataset: Scalable Data Loading for Deep Learning on Large-Scale Single-Cell Omics
Davide DAscenzo, Sebastiano Cultrera di Montesano
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
video-SALMONN S: Memory-Enhanced Streaming Audio-Visual LLM
Guangzhi Sun, Yixuan Li, Xiaodong Wu, Yudong Yang, Wei Li, Zejun MA, Chao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
xKV: Cross-Layer KV-Cache Compression via Aligned Singular Vector Extraction
Chi-Chih Chang, Wei-Cheng Lin, Chien-Yu Lin, Hung-Yueh Chiang, Yash Akhauri, Xilai Dai, Huiqiang Jiang, Yucheng Li, Luis Ceze, Kai-Chiang Wu, Mohamed Abdelfattah
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
“Do Diffusion Models Dream of Electric Planes?” Discrete and Continuous Simulation-Based Inference for Aircraft Design
Aurelien Ghiglino, Daniel Elenius, Anirban Roy, Ramneet Kaur, Manoj Acharya, Colin Samplawski, Brian Matejek, Susmit Jha, Juan Alonso, Adam Cobb
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
“very likely” Means “uncertain”? How LLMs Diverge from Humans in Linguistic Uncertainty Quantification
Jinhao Duan, Zicheng Liu, Zijie Liu, Kaidi Xu, Tianlong Chen
Machine Learning
日本大学: 関与なし（対象大学）