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
DroneDINO: Towards Heterogeneous Routed Mixture of Experts for Drone-based Unified Object Detection
Dongdong Li, Rui Chen, Yan Fan, Yan Liu, Yangliu Kuai, Pengfei Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Drop-in Circulant Structural Priors for Transformer Decoding of Cyclic Codes
Shuai Xiao, Weijun Fang, Qiaosheng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dropout Universality: Scaling Laws and Optimal Scheduling at the Edge-of-Chaos
Lucas Fernandez-Sarmiento
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting
Siru Zhong, Yiqiu Liu, Zhiqing Cui, Zezhi Shao, Fei Wang, Qingsong Wen, Yuxuan Liang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
DuRP: Dual-Stage Physics-Embedded Learning for Joint Radiance and Polarization Restoration
Zhenshuo Yang, Qian He, Zhiyuan Liu, Baojie Fan, Jiandong Tian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dual Latent Memory for Visual Multi-agent System
Xinlei Yu, Chengming Xu, Zhangquan Chen, Bo Yin, Cheng Yang, Yongbo He, Yihao Hu, Jiangning Zhang, Cheng Tan, Xiaobin Hu, Shuicheng YAN
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dual Mechanisms of Value Expression: Intrinsic vs. Prompted Values in Large Language Models
Jongwook Han, Jongwon Lim, Injin Kong, Yohan Jo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dual Optimal Transport for Multi-Concept Composition: Structural Alignment and Texture Injection in Diffusion Models
Hao Fu, Tianyu Su, Meng Liu, Chenfang Yang, Tian Gan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dual Quaternion SE(3) Synchronization with Recovery Guarantees
Jianing Zhao, Linglingzhi Zhu, Anthony Man-Cho So
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dual-Calibration Multi-View Clustering via Compact Anchor Learning
Huibing Wang, Yuemeng Huang, Yawei Chen, Jiaxin Yang, Qian Liu, Jinjia Peng, Zetian Mi, Ximing Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dual-Latent Memory Routing for Vision-Language Reasoning
Hao-Xuan Ma, Jin-Fei Qi, YiCheng Xiao, Han-Jia Ye
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dual-Stream Diffusion for World-Model Augmented Vision-Language-Action Model
John Won, Kyungmin Lee, Huiwon Jang, Dongyoung Kim, Jinwoo Shin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dual-View Predictive Diffusion: Lightweight Speech Enhancement via Spectrogram-Image Synergy
Ke Xue, Rongfei Fan, Kai Li, Shanping Yu, Puning Zhao, Jianping An
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dual-branch Robust Unlearnable Examples
Xianlong Wang, Hangtao Zhang, Wenbo Pan, Ziqi Zhou, Changsong Jiang, Li Zeng, Xiaohua Jia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dual-channel Dynamic Graph Neural Networks with Adaptive Adjacency Learning and Multi-scale Representation Fusion
Youqing Wang, Jiahao Long, Tianxiang Zhao, Man Cao, Mengyuan Xin, Jiapu Wang, Junbin Gao, Jipeng Guo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dual-stage Contrastive Learning-enhanced Multi-view Variational Clustering
Yanxi Liu, Yipin Hu, Fangxi Liu, Yanwei Yu, Lei Meng, Yongyong Chen, Guoqing Chao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
DualCOIL: Offline Imitation Learning from Contrasting Demonstrations
Huy Hoang, Tien Mai, Pradeep Varakantham, Tanvi Verma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
DualOptim+: Bridging Shared and Decoupled Optimizer States for Better Machine Unlearning in Large Language Models
Xuyang Zhong, Qizhang Li, Yiwen Guo, Chen Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
DualTimesField: Rethinking Time Series as Continuous-Time Trends and Events
Wencheng Zhang, Long Li, Huayi Qin, Zongjuan Wu, Jing Li, Wanghu Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
DuetServe: Harmonizing Prefill and Decode for LLM Serving via Adaptive GPU Multiplexing
Lei Gao, Chaoyi Jiang, Hossein Entezari Zarch, Daniel Wong, Mark D. HIll, Murali Annavaram
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dustin: Draft-Augmented Sparse Verification for Efficient Long-Context Generation with Speculative Decoding
Wen-Hung Lee, Jian-Jia Chen, Xiaolin Lin, Pei-Shuo Wang, Chi-Chih Chang, Chun-Che Yang, Wei-Chen Wang, Hanrui Wang, Ning-Chi Huang, Li Zhang, Kai-Chiang Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
DyCon: Dynamic Reasoning Control via Evolving Difficulty Modeling
Tengyao Tu, Yulin Li, Huiling Zhen, Libo Qin, Zhoujun Wei, Jinghua Piao, Zhuotao Tian, Yong Li, Min zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
DyGRO-VLA: Cross-Task Scaling of Vision–Language–Action Models via Dynamic Grouped Residual Optimization
Sixu Lin, Yunpeng Qing, Litao Liu, Ming Zhou, Ruixing Jin, Xiaoyi Fan, Guiliang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
DyLLM: Efficient Diffusion LLM Inference via Saliency-based Token Selection and Partial Attention
Younjoo Lee, Seungkyun Dan, Junghoo Lee, Jaiyoung Park, Jung Ho Ahn
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
DyPE: Dynamic Position Extrapolation for Ultra High Resolution Diffusion
Noam Issachar, Guy Yariv, Sagie Benaim, Yossi Adi, Dani Lischinski, Raanan Fattal
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dyn-VPP: Video Prediction Policy Optimization for Improved Visual Dynamics
Zirui Ge, Pengxiang Ding, BaoHuaYin, Yemin Wang, Qishen Wang, Zhiyong Xie, Hengtao Li, Runze Suo, Wenxuan Song, Han Zhao, Shangke Lyu, Haoang Li, Ran Cheng, Cheng Chi, Hui-Bin Ge, Yaozhi Luo, Donglin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
DynVLA: Learning World Dynamics for Action Reasoning in Autonomous Driving
Shuyao Shang, Bing Zhan, Yunfei Yan, Yuqi Wang, Yingyan Li, Yasong An, Xiaoman Wang, Jierui Liu, Lu Hou, Lue Fan, Zhaoxiang Zhang, Tieniu Tan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
DynaMem: Consistent Long Video Generation via Hierarchical Memory and Motion Priors
Jingyu Lin, Xinyi Shang, Peng Sun, Cunjian Chen, Zhiqiang Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
DynaSchedBench: Calibrated Dynamic Scheduling Benchmarks and Observability Paradox in LLM-based Scheduling Agents
Shijie Cao, Yuan Yuan, Jing Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
DynaTok: Token-Based 4D Reconstruction from Partial Point Clouds
Weirong Chen, Keisuke Tateno, Hidenobu Matsuki, Michael Niemeyer, Daniel Cremers, Federico Tombari
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
DynaVieW: Schema-Guided World Modeling for Understanding Hierarchical Visual Dynamics
Silin Gao, Hao Zhao, Zeming Chen, Sepideh Mamooler, Antara R Bhattacharya, Qiyu Wu, Hiromi Wakaki, Yuki Mitsufuji, Li Mi, Syrielle Montariol, Antoine Bosselut
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dynamic Compression Flows for Neuroscience Data
Ganchao Wei, Daniela de Albuquerque, Miles Martinez, Shiyang Pan, John Pearson
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dynamic Decision Learning: Test-Time Evolution for Abnormality Grounding in Rare Diseases
Jun Li, Mingxuan Liu, Jiazhen Pan, che liu, Wenjia Bai, Cosmin Bercea, Julia Schnabel
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dynamic Fractal Mamba: A Neural Renormalization Group Flow for Scale-Invariant Sequence Modeling
Shenglei Fang, Xianfang Sun, You Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dynamic High-Dimensional Facility Location with Low Recourse
Sayan Bhattacharya, Martín Costa, Silvio Lattanzi, Jakub Łącki, Nikos Parotsidis
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dynamic Linear Attention
Xin Wang, Hui Shen, Boyuan Zheng, Xueshen Liu, Minkyoung Cho, Zhongwei Wan, Zesen Zhao, Zhuoqing Morley Mao, Shen Yan, Mi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dynamic Multimodal Evaluation via Knowledge-Enhanced Benchmark Evolution
Junzhe Zhang, Huixuan Zhang, Xiaojun Wan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dynamic Optimizations of LLM Ensembles with Two-Stage Reinforcement Learning Agents
Selim Furkan Tekin, Gaowen Liu, Ramana Kompella, Ling Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dynamic Programming for Epistemic Uncertainty in Markov Decision Processes
Axel Benyamine, Julien Grand-Clément, Marek Petrik, Michael Jordan, Alain Oliviero Durmus
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dynamic Regret via Discounted-to-Dynamic Reduction with Applications to Curved Losses and Adam Optimizer
Yan-Feng Xie, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dynamic Relational Priming Improves Transformer in Multivariate Time Series
Hunjae Lee, Corey Clark
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dynamic Stratified Contrastive Learning with Upstream Augmentation for MILP Branching
Tongkai Lu, Shuai Ma, Chongyang Tao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dynamic Symmetric Point Tracking: Tackling Non-ideal Reference in Analog In-memory Training
Quan Xiao, jindan li, Zhaoxian Wu, Tayfun Gokmen, Tianyi Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dynamic TMoE: A Drift-Aware Dynamic Mixture of Experts Framework for Non-Stationary Time Series Forecasting
Jiawen Zhu, Shuhan Liu, Di Weng, Yingcai Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dynamic Thinking-Token Selection for Efficient Reasoning in Large Reasoning Models
zhenyuan guo, Tong Chen, Wenlong Meng, Chen GONG, Xin Yu, Chengkun Wei, Wenzhi CHEN
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dynamics Are Learned, Not Told: Semi-Supervised Discovery of Latent Dynamics Geometries For Zero-Shot Policy Adaptation
Zhiming Xu, Weitao Zhou, Xianghui Pan, Nanshan Deng, Chengju Liu, Qijun Chen, Chenpeng Yao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dynamics Reveals Structure: Challenging the Linear Propagation Assumption
Hoyeon Chang, Bálint Mucsányi, Seong Joon Oh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dynamics Within Latent Chain-of-Thought: An Empirical Study of Causal Structure
Zirui Li, Xuefeng Bai, Kehai Chen, Yizhi Li, Jian Yang, Chenghua Lin, Min zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dynamics and Representation Structure of Local Approximations to Gradient-Based Learning in Linear Recurrent Neural Networks
Ezekiel Williams, Alexandre Payeur, Guillaume Lajoie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dynamics of neural scaling laws in random feature regression with powerlaw-distributed kernel eigenvalues
Jakob Kramp, Javed Lindner, Moritz Helias
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Dywave: Event-Aligned Dynamic Tokenization for Heterogeneous IoT Sensing Signals
Tomoyoshi Kimura, Denizhan Kara, Jinyang Li, Hongjue Zhao, Yigong Hu, Yizhuo Chen, Xiaomin OUYANG, Shengzhong Liu, Tarek Abdelzaher
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
D²Evo: Dual Difficulty-Aware Self-Evolution for Data-Efficient Reinforcement Learning
Ru Zhang, Renda Li, Ziyu Ma, Weijie Qiu, Chongyang Tao, Yong Wang, Xiangxiang Chu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
E-VAds: An E-commerce Short Videos Understanding Benchmark for MLLMs
Xianjie Liu, Yiman Hu, Liang Wu, Ping Hu, Yixiong Zou, Jian Xu, Bo Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
E-mem: Multi-Agent Based Episodic Context Reconstruction for LLM Agent Memory
Kaixiang Wang, Yidan Lin, Zihan Wang, Bunyod Suvonov, Zhaojiacheng Zhou, Yuxiang Zheng, Jiaxi Cao, Zhiheng Dong, Chentao Wu, Jiong Lou, Jie Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
E2Former-V2: On-the-Fly Equivariant Attention with Linear Activation Memory
Lin Huang, Chengxiang Huang, Ziang Wang, Yiyue Du, Chu Wang, Haocheng Lu, Yunyang Li, Xiaoli LIU, Arthur JIANG, Jia Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
EAGer: Entropy-Aware GEneRation for Adaptive Inference-Time Scaling
Daniel Scalena, Leonidas Zotos, Elisabetta Fersini, Malvina Nissim, Ahmet Üstün
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
EAKV: An Entropy-Driven Adaptive KV Compression Framework for Long Video Understanding
Hengrui Hu, Jingyu Li, Juntao Liang, Guanyu Chen, Lan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
EAPO: Enhancing Policy Optimization with On-Demand Expert Assistance
Siyao Song, Cong Ma, Zhihao Cheng, Shiye Lei, MINGHAO LI, Ying Zeng, Huaixiao Tou, Kai Jia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
EARL: Towards a Unified Analysis-Guided Reinforcement Learning Framework for Egocentric Interaction Reasoning and Pixel Grounding
Yuejiao Su, Xinshen ZHANG, Zhen Ye, Lei Yao, Lap-Pui Chau, Yi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ECA: Efficient Continual Alignment for Open-Ended Image-to-Text Generation
Jiangtao Kong, Peijun Zhao, Chun-Fu (Richard) Chen, Youngwook Do, Shaohan Hu, Tianyi Zhou, Huajie Shao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ECCO: Evidence-Driven Causal Reasoning for Compiler Optimization
Haolin Pan, Lianghong Huang, Dong Jinyuan, Mingjie Xing, Yanjun Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ECG-R1: Protocol-Guided and Modality-Agnostic MLLM for Reliable ECG Interpretation
Jiarui Jin, Haoyu Wang, Xingliang Wu, Xiaocheng Fang, Xiang Lan, Zihan Wang, Deyun Zhang, Bo Liu, Yingying Zhang, Xian Wu, Hongyan Li, Shenda Hong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ECHO: Elastic Speculative Decoding with Sparse Gating for High-Concurrency Scenarios
Xinyi Hu, Yuhao Shen, Zhang Baolin, Hengxin Zhang, Jun Dai, Shuang Ge, Chen Lei, Yue Li, Mingcheng Wan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ECHO: Entropy-Confidence Hybrid Optimization for Test-Time Reinforcement Learning
Chu Zhao, Enneng Yang, Yuting Liu, Jianzhe Zhao, Guibing Guo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ECO: Quantized Training without Full-Precision Master Weights
Mahdi Nikdan, Amir Zandieh, Dan Alistarh, Vahab Mirrokni
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ECSEL: Explainable Classification via Signomial Equation Learning
Adia C. Lumadjeng, Ilker Birbil, Erman Acar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ECo-MoE: Embodiment-Conditioned Mixture of Experts Increases the Evolvability of Robots
Yibin Wang, Muhan Li, Zihan Guo, Sam Kriegman
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
EDCO: Dynamic Curriculum Orchestration for Domain-specific Large Language Model Fine-tuning
Jing-Cheng Pang, Sun Liu, Chang Zhou, Xian Tang, Haichuan Ma, KUN JIANG, Jianlong Wang, Kai Zhang, Sijie Wu, Haoran Cai, Chenwei Wu, Xubin Li, Xin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
EEG-Based Multimodal Learning via Hyperbolic Mixture-of-Curvature Experts
Runhe Zhou, Shanglin Li, Guanxiang Huang, Xinliang Zhou, Qibin Zhao, Motoaki Kawanabe, Yi Ding, Cuntai Guan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
EEG-FM-Bench: A Comprehensive Benchmark for the Systematic Evaluation and Diagnostic Analyses of EEG Foundation Models
Wei Xiong, Jiangtong Li, Jie Li, Kun Zhu, Changjun Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
EEmo-Logic: A Unified Dataset and Multi-Stage Framework for Comprehensive Image-Evoked Emotion Assessment
Lancheng Gao, Ziheng Jia, Zixuan Xing, Wei Sun, Huiyu Duan, Guangtao Zhai, Xiongkuo Min
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
EGG: An Expert-Guided Agent Framework for Kernel Generation
Yaochen Han, Ke Fan, Hongxu Jiang, Wanqi Xu, Weiyu Xie, Runhua Zhang, Chenhui Zhu, Yixiang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
EMBGuard: Constructing Hazard-Aware Guardrails for Safe Planning in Embodied Agents
Dongwook Choi, Taeyoon Kwon, Bogyung Jeong, Minju Kim, Yeonjun Hwang, Hyojun Kim, Byungchul Kim, Young Kyun Jang, Jinyoung Yeo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
EMFormer: Efficient Multi-Scale Transformer for Accumulative Context Weather Forecasting
hao chen, Tao Han, Jie ZHANG, Song Guo, Fenghua Ling, LEI BAI
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
EPS3D: End-to-End Feed-Forward 3D Panoptic Segmentation
Runsong Zhu, Jiaxin GUO, Xiaoyang Guo, Zhengzhe Liu, Ka-Hei Hui, Wei Yin, Kai Chen, Wei Chen, Weiqiang Ren, Yunhui Liu, Pheng Ann Heng, Chi Wing Fu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
EPSVec: Efficient and Private Synthetic Data Generation via Dataset Vectors
Mohammadamin Banayeeanzade, Qingchuan Yang, Deqing Fu, Spencer Hong, Erin Babinsky, Alfy Samuel, Anoop Kumar, Robin Jia, Sai Praneeth Reddy Karimireddy
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
EPiC: Efficient Video Camera Control Learning with Precise Anchor-Video Guidance
Zun Wang, Jaemin Cho, Jialu Li, Han Lin, Jaehong Yoon, Yue Zhang, Mohit Bansal
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs
Xianlin Zeng, Fan Xia, Xiangyu Chen
Machine Learning
日本大学: 東京大学
2026 · ICML
ERGeoBench: A Comprehensive Benchmark for Embodied Reasoning and Geo-localization in Multimodal Large Language Models
Kaiwen Xue, Tao Wei, Guoxin Zhang, Zhonghong Ou, Kaoyan Lu, Yu Feng, Yifan Zhu, Haoran Luo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment
Xiuyu Li, Jinkai Zhang, Mingyang Yi, Yu Li, Longqiang Wang, Yue Wang, Ju Fan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
EVMbench: Evaluating AI Agents on Smart Contract Security
Justin Wang, Andreas Bigger, Xiaohai Xu, Justin W. Lin, Andy Applebaum, Tejal Patwardhan, Alpin Yukseloglu, Olivia Watkins
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
EVOLVING ROLLOUTS: Harnessing Historical Experience for Web Agent Evolution in Reinforcement Learning
Sinuo Wang, WANG PIAOHONG, Tianrui Qin, Maojia Song, Qianben Chen, Qiexiang Wang, Gengze Zhou, Zeyu Zhang, He Zhu, Dingfeng Shi, Yutong Xie, Liam Liu, Jiaheng Liu, Ge Zhang, Jiawei Ma, Yuchen Jiang, Qi Wu, Wangchunshu Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Early Decisions Matter: Proximity Bias and Initial Trajectory Shaping in Non-Autoregressive Diffusion Language Models
Jiyeon Kim, Sungik Choi, Yongrae Jo, Moontae Lee, Minjoon Seo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Easier to Judge than to Find: Predicting In-Context Learning Success for Demonstration Selection
Haochun Wang, Chaofen Yang, Jiatong Liu, Jingbo Wang, Zewen Qiang, Sendong Zhao, Bing Qin, Ting Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
EasyBalance: Cross-Layer Load Balancing in Distributed MoE Inference
Yize Wu, KE GAO, Ling Li, Yanjun Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Eating for a Sustainable Planet: Personalized Sustainable Diet Recommendation via Constraint-Aware Decision-Making Modeling
Ying Jin, Weiqing Min, Mingyu Huang, Shuqiang Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
EchoAttention: Exploiting Token-Pair Redundancy and Frame-Block Similarity for Efficient Video Generation
Yifei Xia, Fangcheng Fu, Hao Yuan, Suhan Ling, Xupeng Miao, Huixia Li, Yuxi Ren, Xin Xia, Xuefeng Xiao, Bin Cui
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
EchoRL: Reinforcement Learning via Rollout Echoing
Jinhe Bi, Aniri -, Minglai Yang, Xingcheng Zhou, Wenke Huang, Sikuan Yan, Yujun Wang, Zixuan Cao, Michael Färber, Xun Xiao, Volker Tresp, Yunpu Ma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Echoes within the Reasoning: Stealthy and Effective Watermarking via Chain of Thought
Jiacheng Lu, Yiming Li, Tao Song, Weijian Wang, Wenjie Qu, Haibing Guan, Jiaheng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
EchoingPixels: Aliasing-Resistant Joint Token Reduction for Audio-Visual LLMs
Chao Gong, Depeng Wang, Zhipeng Wei, Ya Guo, Huijia Zhu, Jingjing Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
EcoVLA: Environment-Aware Adaptive Pruning with Interleaved Inference Orchestration for Vision-Language-Action Models
Yuting Huang, Leilei Ding, Zhipeng Tang, Zenghuan Zhu, Jiajun Deng, Xinrui Lin, Shuo Liu, Haojie Ren, Jianmin Ji, Yanyong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Edge-colored Clustering in Hypergraphs: A MaxECC Approximation
Aravind Srinivasan, Arushi Srinivasan, Jiayi Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Edit-Based Refinement for Parallel Masked Diffusion Language Models
Houxing Ren, Mingjie Zhan, Zimu Lu, Ke Wang, Yunqiao Yang, Haotian Hou, Junting Pan, Hongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Editable Proof Sketch for Automated Theorem Proving
Zikai Xiao, Hanzheng Wang, Meng-Hao Guo, Shi-min Hu, Shing-Tung Yau
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
EduMirror: Modeling Educational Social Dynamics with Value-driven Multi-agent Simulation
Jingzhe Lin, Hengbin Yu, Yongdan Zeng, Fangwei Zhong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
EffGen: Enabling Small Language Models as Capable Autonomous Agents
Gaurav Srivastava, Aafiya Hussain, Chi Wang, Yingyan (Celine) Lin, Xuan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Effective Distillation to Hybrid xLSTM Architectures
Lukas Hauzenberger, Niklas Schmidinger, Thomas Schmied, Anamaria-Roberta Hartl, David Stap, Pieter-Jan Hoedt, Sebastian Böck, Günter Klambauer, Sepp Hochreiter
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Effective MoE-based LLM Compression by Exploiting Heterogeneous Inter-Group Experts Routing Frequency and Information Density
Zhendong Mi, Yixiao Chen, Pu Zhao, Xiaodong Yu, Hao Wang, Yanzhi Wang, Shaoyi Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Effective Model Pruning : Measuring the Redundancy of Model Components
Yixuan Wang, Dan Guralnik, Saiedeh Akbari, Warren Dixon
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Effective Reasoning Chains Reduce Intrinsic Dimensionality
Archiki Prasad, Mandar Joshi, Kenton Lee, Mohit Bansal, Peter Shaw
Machine Learning
日本大学: 関与なし（対象大学）