ICLR

2022–2026 LIVE

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Machine Learning

2026 · 5,351 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 · ICLR
Entering the Era of Discrete Diffusion Models: A Benchmark for Schrödinger Bridges and Entropic Optimal Transport
Xavier Aramayo Carrasco, Grigoriy Ksenofontov, Aleksei Leonov, Iaroslav Koshelev, Aleksandr Korotin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Entropic Confinement and Mode Connectivity in Overparameterized Neural Networks
Luca Di Carlo, Chase Goddard, David J Schwab
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Entropy Regularizing Activation: Boosting Continuous Control, Large Language Models, and Image Classification with Activation as Entropy Constraints
Zilin Kang, Chonghua Liao, Tingqiang Xu, Huazhe Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Entropy-Based Block Pruning for Efficient Large Language Models
Liangwei Yang, Yuhui Xu, Juntao Tan, Doyen Sahoo, silvio savarese, Caiming Xiong, Huan Wang, Shelby Heinecke
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Entropy-Guided Dynamic Tokens for Graph-LLM Alignment in Molecular Understanding
Zihao Jing, Qiuhao Zeng, Ruiyi Fang, Yan Sun, Boyu Wang, Pingzhao Hu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Entropy-Monitored Kernelized Token Distillation for Audio-Visual Compression
Hyoungseob Park, Lipeng Ke, Pritish Mohapatra, Huajun Ying, sankar venkataraman, Alex Wong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Entropy-preserving reinforcement learning
Aleksei Petrenko, Ben Lipkin, Kevin Chen, Erik Wijmans, Marco Cusumano-Towner, Raja Giryes, Philipp Krähenbühl
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
EntropyLong: Effective Long-Context Training via Predictive Uncertainty
Junlong Jia, Ziyang Chen, Xing Wu, Chaochen Gao, Zijia Lin, Songlin Hu, Binghui Guo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
EnvSocial-Diff: A Diffusion-Based Crowd Simulation Model with Environmental Conditioning and Individual-Group Interaction
Bingxue Zhao, Qi Zhang, Hui Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Epistemic Uncertainty Quantification To Improve Decisions From Black-Box Models
Sébastien Melo, Gael Varoquaux, Marine Le Morvan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
EquAct: An SE(3)-Equivariant Multi-Task Transformer for 3D Robotic Manipulation
Xupeng Zhu, Yu Qi, Yizhe Zhu, Robin Walters, Robert Platt
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Equilibrium Language Models
Yikun Jiang, Huanyu Wang, Tianhong Ding, Wenhu Zhang, Yiming Wu, Hanbin Zhao, John C.S. Lui
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Equivariant Splitting: Self-supervised learning from incomplete data
Victor Sechaud, Jérémy Scanvic, Quentin Barthélemy, Patrice Abry, Julián Tachella
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Erase or Hide? Suppressing Spurious Unlearning Neurons for Robust Unlearning
Nakyeong Yang, Dong-Kyum Kim, Jea Kwon, Minsung Kim, Kyomin Jung, Meeyoung Cha
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs
Kang An, Ziliang Wang, Xuhui Zheng, FaQiang Qian, WeiKun Zhang, Yuhang Wang, Wu Yichao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Error Feedback for Muon and Friends
Kaja Gruntkowska, Alexander Gaponov, Zhirayr Tovmasyan, Peter Richtarik
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Error Notebook-Guided, Training-Free Part Retrieval in 3D CAD Assemblies via Vision-Language Models
Yunqing Liu, Nan Zhang, Zhiming Tan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Error as Signal: Stiffness-Aware Diffusion Sampling via Embedded Runge-Kutta Guidance
Inho Kong, Sojin Lee, Youngjoon Hong, Hyunwoo Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Escaping Low-Rank Traps: Interpretable Visual Concept Learning via Implicit Vector Quantization
Shujian Gao, Yuan Wang, Chenglong Ma, Xin Gao, Jiangtao Yan, Junzhi Ning, Cheng Tang, Changkai Ji, Huihui Xu, Wei Li, Ziyan Huang, Jiashi Lin, Ming Hu, Jiyao Liu, Wenhao Tang, Ye Du, Tianbin Li, Jin Ye, Junjun He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Escaping Model Collapse via Synthetic Data Verification: Near-term Improvements and Long-term Convergence
Bingji Yi, Qiyuan Liu, Yuwei Cheng, Haifeng Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Escaping Policy Contraction: Contraction-Aware PPO (CaPPO) for Stable Language Model Fine-Tuning
Dun Yuan, Di Wu, Xue Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Escaping the Homophily Trap: A Threshold-free Graph Outlier Detection Framework via Clustering-guided Edge Reweighting
Yunhe Zhang, Jinyu Cai, Qi Hao, Pengyang Wang, See-Kiong Ng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Estimating Dimensionality of Neural Representations from Finite Samples
Chanwoo Chun, Abdulkadir Canatar, SueYeon Chung, Daniel Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Estimating Semantic Alphabet Size for LLM Uncertainty Quantification
Lucas McCabe, Rimon Melamed, Tom Hartvigsen, H Howie Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Estimating Worst-Case Frontier Risks of Open-Weight LLMs
Eric Wallace, Olivia Watkins, Miles Wang, Kai Chen, Chris Koch
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
EvA: Evolutionary Attacks on Graphs
Mohammad Sadegh Akhondzadeh, Soroush H. Zargarbashi, Jimin Cao, Aleksandar Bojchevski
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Evaluating Cross-Modal Reasoning Ability and Problem Characteristics with Multimodal Item Response Theory
Shunki Uebayashi, Kento Masui, Kyohei Atarashi, Han Bao, Hisashi Kashima, Naoto Inoue, Mayu Otani, Koh Takeuchi
Machine Learning
日本大学: 京都大学
2026 · ICLR
Evaluating Data Influence in Meta Learning
Chenyang Ren, Huanyi Xie, Shu Yang, Meng Ding, Dongrui Liu, Lijie Hu, Di Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Evaluating GFlowNet from partial episodes for stable and flexible policy-based training
Puhua Niu, Shili Wu, Xiaoning Qian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Evaluating Language Models' Evaluations of Games
Katherine Collins, Cedegao Zhang, Graham Todd, Lance Ying, Mauricio da Costa, Ryan Liu, Prafull Sharma, Adrian Weller, Ionatan Kuperwajs, Lio Wong, Joshua B Tenenbaum, Thomas L. Griffiths
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions
Yuanzhe Hu, Yu Wang, Julian McAuley
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Evaluating SAE interpretability without generating explanations
Gonçalo Paulo, Nora Belrose
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Evaluating Text Creativity across Diverse Domains: a Dataset and Large Language Model Evaluator
Qian Cao, Xiting Wang, Yuzhuo Yuan, Yahui Liu, Fang Luo, Ruihua Song
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Evaluating and Improving Cultural Awareness of Reward Models for LLM Alignment
Hongbin Zhang, Kehai Chen, Xuefeng Bai, Yang Xiang, Min Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Event-T2M: Event-level Conditioning for Complex Text-to-Motion Synthesis
Seong-Eun Hong, Jaeyoung Seon, Juyeong Hwang, JongHwan Shin, HyeongYeop Kang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
EventFlash: Towards Efficient MLLMs for Event-Based Vision
Shaoyu Liu, Jianing Li, guanghui zhao, Yunjian Zhang, Wen Jiang, Ming Li, Xiangyang Ji
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Every Language Model Has a Forgery-Resistant Signature
Matthew Finlayson, Xiang Ren, Swabha Swayamdipta
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Everything in Its Place: Benchmarking Spatial Intelligence of Text-to-Image Models
Zengbin Wang, Xuecai Hu, Yong Wang, Feng Xiong, Man Zhang, Xiangxiang Chu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Evidence for Limited Metacognition in LLMs
Christopher Ackerman
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
EvoTest: Evolutionary Test-Time Learning for Self-Improving Agentic Systems
Yufei He, Juncheng Liu, Yue Liu, Yibo Li, Tri Cao, Zhiyuan Hu, Xinxing Xu, Bryan Hooi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval
Yingyi Zhang, Junyi Li, Wenlin Zhang, Pengyue Jia, Xianneng Li, Yichao Wang, Derong Xu, Yi Wen, Huifeng Guo, Yong Liu, Xiangyu Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
EvolProver: Advancing Automated theorem proving by Evolving Formalized Problems via Symmetry and Difficulty
Yuchen Tian, Ruiyuan Huang, Xuanwu WANG, Jing Ma, Zengfeng Huang, Ziyang Luo, Hongzhan Lin, Da Zheng, Lun Du
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Evolution and compression in LLMs: on the emergence of human-aligned categorization
Nathaniel Imel, Noga Zaslavsky
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Evolution of Concepts in Language Model Pre-Training
Xuyang Ge, Wentao Shu, Jiaxing Wu, Yunhua Zhou, Zhengfu He, Xipeng Qiu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Evolutionary Caching to Accelerate Your Off-the-Shelf Diffusion Model
Anirud Aggarwal, Abhinav Shrivastava, Matthew Gwilliam
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Evolving Graph Structured Programs for Circuit Generation with Large Language Models
Yinqi Bai, Jie Wang, Lei Chen, Zhihai Wang, Yumeng Li, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ExGRPO: Learning to Reason from Experience
Runzhe Zhan, Yafu Li, Zhi Wang, Xiaoye Qu, Dongrui Liu, Jing Shao, Derek Wong, Yu Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ExPO-HM: Learning to Explain-then-Detect for Hateful Meme Detection
Jingbiao Mei, Mingsheng Sun, Jinghong Chen, Pengda Qin, Yuhong Li, Da Chen, Bill Byrne
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Exchangeability of GNN Representations with Applications to Graph Retrieval
Kartik Nair, Indradyumna Roy, Soumen Chakrabarti, Anirban Dasgupta, Abir De
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Executable Counterfactuals: Improving LLMs' Causal Reasoning Through Code
Aniket Vashishtha, Qirun Dai, Hongyuan Mei, Amit Sharma, Chenhao Tan, Hao Peng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Exo-Plore: Exploring Exoskeleton Control Space through Human-aligned Simulation
Geonho Leem, Jaedong Lee, Jehee Lee, Seungmoon Song, Jungdam Won
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ExoPredicator: Learning Abstract Models of Dynamic Worlds for Robot Planning
Yichao Liang, Dat Nguyen, Cambridge Yang, Tianyang Li, Joshua B Tenenbaum, Carl Edward Rasmussen, Adrian Weller, Zenna Tavares, Tom Silver, Kevin Ellis
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ExpGuard: LLM Content Moderation in Specialized Domains
Minseok Choi, Dongjin Kim, Seungbin Yang, Subin Kim, Youngjun Kwak, Juyoung Oh, Jaegul Choo, Jungmin Son
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ExpVid: A Benchmark for Experiment Video Understanding & Reasoning
Yicheng Xu, Yue Wu, Jiashuo Yu, Ziang Yan, Tianxiang Jiang, Yinan He, Qingsong Zhao, Kai Chen, Yu Qiao, Limin Wang, Manabu Okumura, Yi Wang
Machine Learning
日本大学: 東京科学大学
2026 · ICLR
Expanding Reasoning Potential in Foundation Model by Learning Diverse Chains of Thought Patterns
Xuemiao Zhang, Can Ren, Chengying Tu, Rongxiang Weng, Shuo Wang, Hongfei Yan, Jingang Wang, Xunliang Cai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Expanding the Capability Frontier of LLM Agents with ZPD-Guided Data Synthesis
Xuanzhong Chen, Zile Qiao, Guoxin Chen, Liangcai Su, Zhen Zhang, Xinyu Wang, Pengjun Xie, Fei Huang, Jingren Zhou, Yong Jiang, Ting Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Experience-based Knowledge Correction for Robust Planning in Minecraft
Seungjoon Lee, Suhwan Kim, Minhyeon Oh, Youngsik Yoon, Jungseul Ok
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Expert Divergence Learning for MoE-based Language Models
Jiaang Li, Haibin Chen, langming liu, Yujin Yuan, Yadao Wang, Yizhen Zhang, Chengting Yu, Xin Tong, Weidong Zhang, Shilei Liu, wenbo su, Bo Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Expert Heads: Robust Evidence Identification for Large Language Models
Qi Wu, Jianfeng Qu, Ximing Li, Zhixu Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Expert Merging in Sparse Mixture of Experts with Nash Bargaining
Dung Viet Nguyen, Anh Thi, Minh Hoang Nguyen, Luc Nguyen, Shiqi Jiang, Ethan Fetaya, Duy Linh Tran, Gal Chechik, Tan Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Expert Merging: Model Merging with Unsupervised Expert Alignment and Importance-Guided Layer Chunking
Dengming Zhang, Xiaowen Ma, Zhenliang Ni, Zhenkai Wu, Han Shu, Xin Jiang, Xinghao Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ExpertLongBench: Benchmarking Language Models on Expert-Level Long-Form Generation Tasks with Structured Checklists
Jie Ruan, Inderjeet Nair, Shuyang Cao, Amy Liu, Sheza Munir, Micah Pollens-Dempsey, Yune-Ting Chiang, Lucy Kates, Nicholas David, Sihan Chen, Ruxin Yang, Yuqian Yang, Jihyun Gump, Tessa Bialek, Vivek Sankaran, Margo Schlanger, Lu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Expertise Can Be Helpful for Reinforcement Learning-based Macro Placement
Chengrui Gao, Yunqi Shi, Ke Xue, Ruo-Tong Chen, Siyuan Xu, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Explain in Your Own Words: Improving Reasoning via Token-Selective Dual Knowledge Distillation
Minsang Kim, Seung Baek
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Explainable $ K $-means Neural Networks for Multi-view Clustering
Yalan Qin, Xinpeng Zhang, Guorui Feng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Explainable LLM Unlearning through Reasoning
Junfeng Liao, Qizhou Wang, Shanshan Ye, Xin Yu, Ling Chen, Zhen Fang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Explainable Mixture Models through Differentiable Rule Learning
Matthias Wilms, Sascha Xu, Jilles Vreeken
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Explainable Token-level Noise Filtering for LLM Fine-tuning Datasets
Yuchen Yang, Wenze Lin, Enhao Huang, Zhixuan Chu, Hongbin zhou, Lan Tao, Yiming Li, Zhan Qin, Kui Ren
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Explaining Grokking and Information Bottleneck through Neural Collapse Emergence
Keitaro Sakamoto, Issei Sato [東京科学大学] [東京大学]
Machine Learning
日本大学: 東京科学大学 / 東京大学
2026 · ICLR
Exploiting Low-Dimensional Manifold of Features for Few-Shot Whole Slide Image Classification
Conghao Xiong, Zhengrui Guo, Zhe Xu, Yifei Zhang, Raymond Kai-yu Tong, Si Yong Yeo, Hao CHEN, Joseph JY Sung, Irwin King
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Exploration vs Exploitation: Rethinking RLVR through Clipping, Entropy, and Spurious Reward
Peter Chen, Xiaopeng Li, Ziniu Li, Wotao Yin, Xi Chen, Tianyi Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Exploratory Causal Inference in SAEnce
Tommaso Mencattini, Riccardo Cadei, Francesco Locatello
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Exploratory Diffusion Model for Unsupervised Reinforcement Learning
Chengyang Ying, Huayu Chen, Xinning Zhou, Zhongkai Hao, Hang Su, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization
Zeyuan Liu, Jeonghye Kim, Xufang Luo, Dongsheng Li, Yuqing Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Explore-on-Graph: Incentivizing Autonomous Exploration of Large Language Models on Knowledge Graphs with Path-refined Reward Modeling
Shiqi Yan, Yubo Chen, Ruiqi Zhou, Zhengxi Yao, Shuai Chen, Tianyi Zhang, Shijie Zhang, Wei-Qiang Zhang, Yongfeng Huang, Haixin Duan, Yunqi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Exploring Cross-Modal Flows for Few-Shot Learning
Ziqi Jiang, Yanghao Wang, Long Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Exploring Diverse Generation Paths via Inference-time Stiefel Activation Steering
Dongxuan Zhu, Ly Khanh, Andy Yat-Ming Cheung, Man-Chung Yue, Viet Anh Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Exploring Interpretability for Visual Prompt Tuning with Cross-layer Concepts
Yubin Wang, Xinyang Jiang, De Cheng, Xiangqian Zhao, Zilong Wang, Dongsheng Li, Cai Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Exploring Knowledge Purification in Multi-Teacher Knowledge Distillation for LLMs
Ruihan Jin, Pengpeng Shao, Zhengqi Wen, Jinyang Wu, Mingkuan Feng, Shuo Yang, Chu Yuan Zhang, Jianhua Tao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Exploring Mode Connectivity in Krylov Subspace for Domain Generalization
aodi Li, Liansheng Zhuang, Xiao Long, Houqiang Li, Shafei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Exploring Real-Time Super-Resolution: Benchmarking and Fine-Tuning for Streaming Content
Evgeney Bogatyrev, Khaled Abud, Ivan Molodetskikh, Nikita Alutis, Dmitriy Vatolin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Exploring Specular Reflection Inconsistency for Generalizable Face Forgery Detection
Hongyan Fei, Zexi Jia, Chuanwei Huang, Jinchao Zhang, Jie Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Exploring State-Space Models for Data-Specific Neural Representations
Jinsung Lee, Suha Kwak
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Exploring Synthesizable Chemical Space with Iterative Pathway Refinements
Seul Lee, Karsten Kreis, Srimukh Veccham, Meng Liu, Danny Reidenbach, Saee Paliwal, Weili Nie, Arash Vahdat
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Exploring the Design Space of Transition Matching
Uriel Singer, Yaron Lipman
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Exploring the Potential of Encoder-free Architectures in 3D LMMs
Yiwen Tang, Ziyu Guo, Zhuhao Wang, Renrui Zhang, Qizhi Chen, Junli Liu, Delin Qu, Dong Wang, Bin Zhao, Xuelong Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Exponential-Wrapped Mechanisms: Differential Privacy on Hadamard Manifolds Made Practical
Yangdi Jiang, Xiaotian Chang, Lei Ding, Linglong Kong, Bei Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Exposing Mixture and Annotating Confusion for Active Universal Test-Time Adaptation
Jiayao Tan, Fan Lyu, Chenggong Ni, Fuyuan Hu, Wei Feng, Rui Yao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Exposing Weaknesses of Large Reasoning Models through Graph Algorithm Problems
Qifan Zhang, Jianhao Ruan, AOCHUAN CHEN, Kang ZENG, Nuo Chen, Jing Tang, Jia Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Exposing and Defending the Achilles' Heel of Video Mixture-of-Experts
songping wang, Qinglong Liu, Yueming Lyu, Ning Li, Ziwen He, Caifeng Shan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Expressive Power of Implicit Models: Rich Equilibria and Test-Time Scaling
Jialin Liu, Lisang Ding, Stanley J Osher, Wotao Yin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Expressive yet Efficient Feature Expansion with Adaptive Cross-Hadamard Products
Xuyang Zhang, Xi Zhang, Liang Chen, Hao Shi, Qingshan Guo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Expressiveness of Multi-Neuron Convex Relaxations in Neural Network Certification
Yuhao Mao, Yani Zhang, Martin Vechev
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Extending Fourier Neural Operators for Modeling Parameterized and Coupled PDEs
Cheng Jing, Uvini Balasuriya Mudiyanselage, Abhishek Verma, Kallol Bera, Shahid Rauf, Kookjin Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Extending Sequence Length is Not All You Need: Effective Integration of Multimodal Signals for Gene Expression Prediction
Zhao Yang, Yi Duan, Jiwei Zhu, Ying Ba, Chuan Cao, Bing Su
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Extending the Context of Pretrained LLMs by Dropping Their Positional Embedding
Yoav Gelberg, Koshi Eguchi, Takuya Akiba, Edoardo Cetin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Extreme Weather Nowcasting via Local Precipitation Pattern Prediction
Changhoon Song, Teng-Yuan Chang, Youngjoon Hong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
E²LoRA: Efficient and Effective Low-Rank Adaptation with Entropy-Guided Adaptive Sharing
Minglei Li, Peng Ye, Jingqi Ye, Haonan He, Tao Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FACET: A Fragment-Aware Conformer Ensemble Transformer
Duy Nguyen, Trung Nguyen, Hong Ha Le, Mai Truong, TrungTin Nguyen, Nhat Ho, Khoa Doan, Duy Duong-Tran, Li Shen, Daniel Sonntag, James Y Zou, Mathias Niepert, Hyojin Kim, Jonathan Allen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FACM: Flow-Anchored Consistency Models
Yansong Peng, Kai Zhu, Yu Liu, Pingyu Wu, Hebei Li, Xiaoyan Sun, Feng Wu
Machine Learning
日本大学: 関与なし（対象大学）