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
DreamOn: Diffusion Language Models For Code Infilling Beyond Fixed-size CanvasZirui Wu, Lin Zheng, Zhihui Xie, Jiacheng Ye, Jiahui Gao, Shansan Gong, Yansong Feng, Zhenguo Li, Wei BI, Guorui Zhou, Lingpeng Kong
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
DreamPhase: Offline Imagination and Uncertainty-Guided Planning for Large-Language-Model AgentsShayan Mohajer Hamidi, Linfeng Ye, Konstantinos Plataniotis
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
DreamSwapV: Mask-guided Subject Swapping for Any Customized Video EditingWeitao Wang, Zichen Wang, Hongdeng Shen, Yulei Lu, Xirui Fan, Suhui Wu, Jun Zhang, Haoqian Wang, Hao Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
DriftLite: Lightweight Drift Control for Inference-Time Scaling of Diffusion ModelsYinuo Ren, Wenhao Gao, Lexing Ying, Grant Rotskoff, Jiequn Han
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
DriveAgent-R1: Advancing VLM-based Autonomous Driving with Active Perception and Hybrid ThinkingWeicheng Zheng, Xiaofei Mao, Nanfei Ye, Pengxiang Li, Kun Zhan, XianPeng Lang, Hang Zhao
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
DriveMamba: Task-Centric Scalable State Space Model for Efficient End-to-End Autonomous DrivingHaisheng Su, Wei Wu, Feixiang Song, Junjie Zhang, Zhenjie Yang, Junchi Yan
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous DrivingYingyan Li, Shuyao Shang, Weisong Liu, Bing Zhan, Haochen Wang, Yuqi Wang, Yuntao Chen, Xiaoman Wang, Yasong An, Chufeng Tang, LU HOU, Lue Fan, Zhaoxiang Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
DrivingGen: A Comprehensive Benchmark for Generative Video World Models in Autonomous DrivingYang Zhou, Hao Shao, Letian Wang, Zhuofan Zong, Hongsheng Li, Steven Waslander
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dropping Just a Handful of Preferences Can Change Top Large Language Model RankingsJenny Huang, Yunyi Shen, Dennis Wei, Tamara Broderick
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
DrugTrail: Interpretable Drug Discovery via Structured Reasoning and Druggability‑Tailored Preference OptimizationYurou Liu, Mingyang Li, Xinyuan Zhu, Rui Jiao, Yiming Dong, Xinyu Tang, Yang Liu, Jieping Ye, Bing Su, Zheng Wang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Drugging the Undruggable: Benchmarking and Modeling Fragment-Based ScreeningHaichuan Tan, Bowen Gao, Jiaxin Li, Yinjun Jia, Wenyu Zhu, Wenxuan Xie, Yihong Liu, Yanwen Huang, Jianhui Wang, Yuanhuan Mo, Ya-Qin Zhang, Wei-Ying Ma, Yanyan Lan
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
DuPO: Enabling Reliable Self-Verification via Dual Preference OptimizationShuaijie She, Yu Bao, Yu Lu, Lu Xu, Tao Li, Wenhao Zhu, Jianbing Zhang, Shujian Huang, Shanbo Cheng, Lu Lu, Yuxuan Wang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dual Distillation for Few-Shot Anomaly DetectionLe Dong, Qinzhong Tan, Chunlei Li, Jingliang Hu, Yilei Shi, Weisheng Dong, Xiaoxiang Zhu, Lichao Mou
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dual Goal RepresentationsSeohong Park, Deepinder Mann, Sergey Levine
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dual Optimistic Ascent (PI Control) is the Augmented Lagrangian Method in DisguiseJuan Ramirez, Simon Lacoste-Julien
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dual Perspectives on Non-Contrastive Self-Supervised LearningJean Ponce, Basile Terver, Martial Hebert, Michael Arbel
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dual Randomized Smoothing: Beyond Global Noise VarianceChenhao Sun, Yuhao Mao, Martin Vechev
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dual-Branch Representations with Dynamic Gated Fusion and Triple-Granularity Alignment for Deep Multi-View ClusteringWenyuan Kong, Zhibin Gu, Bing Li
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dual-IPO: Dual-Iterative Preference Optimization for Text-to-Video GenerationXiaomeng Yang, Mengping Yang, GONG JIA, Luozheng Qin, Zhiyu Tan, Hao Li
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dual-Kernel Adapter: Expanding Spatial Horizons for Data-Constrained Medical Image AnalysisZiquan Zhu, Hanruo Zhu, Si-Yuan Lu, Xiang Li, Yanda Meng, Yunxiao Zhang, Gaojie Jin, Lu Yin, Lijie Hu, Di Wang, Lu Liu, Tianjin Huang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dual-Objective Reinforcement Learning with Novel Hamilton-Jacobi-Bellman FormulationsWilliam Sharpless, Dylan Hirsch, Sander Tonkens, Nikhil Shinde, Sylvia Herbert
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dual-Path Condition Alignment for Diffusion TransformersChanghao Peng, Yuqi Ye, Shuangjun Du, Wenxu Gao, Wei Gao
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dual-Robust Cross-Domain Offline Reinforcement Learning Against Dynamics ShiftsZhongjian Qiao, Rui Yang, Jiafei Lyu, Xiu Li, Zhongxiang Dai, Zhuoran Yang, Siyang Gao, Shuang Qiu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dual-Scale World Memory for LLM Agents towards Hard-Exploration ProblemsMinsoo Kim, seung-won hwang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dual-Solver: A Generalized ODE Solver for Diffusion Models with Dual PredictionSoochul Park, Yeon Ju Lee
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dual-Space Smoothness for Robust and Balanced LLM UnlearningHan Yan, Zheyuan Liu, Meng Jiang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dual-objective Language Models: Training Efficiency Without OverfittingDavid Samuel, Lucas Charpentier
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
DualEdit: Mitigating Safety Fallback in LLM Backdoor Editing via Affirmation-Refusal RegulationHoucheng Jiang, Zetong Zhao, Junfeng Fang, Haokai Ma, Ruipeng Wang, Xiang Wang, Xiangnan He, Yang Deng
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
DualMap: Enabling Both Cache Affinity and Load Balancing for Distributed LLM ServingYing Yuan, Pengfei Zuo, Bo Wang, Zhangyu Chen, Zhipeng Tan, Zhou Yu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
DualToken: Towards Unifying Visual Understanding and Generation with Dual Visual VocabulariesWei Song, Yuran Wang, Zijia Song, Yadong Li, Zenan Zhou, Long Chen, Xu Jhua, Jiaqi Wang, Kaicheng Yu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Durian: Dual Reference Image-Guided Portrait Animation with Attribute TransferHyunsoo Cha, Byungjun Kim, Hanbyul Joo
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dyna-Mind: Learning to Simulate from Experience for Better AI AgentsXiao Yu, Baolin Peng, Michel Galley, Hao Cheng, Qianhui Wu, Janardhan Kulkarni, Suman Nath, Zhou Yu, Jianfeng Gao
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
DynaGuard: A Dynamic Guardian Model With User-Defined PoliciesMonte Hoover, Vatsal Baherwani, Neel Jain, Khalid Saifullah, Joseph J Vincent, Chirag Jain, Melissa Rad, C. Bruss, Ashwinee Panda, Tom Goldstein
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dynamic Chunking for End-to-End Hierarchical Sequence ModelingSukjun Hwang, Brandon Wang, Albert Gu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dynamic Classifier-Free Diffusion Guidance via Online FeedbackPinelopi Papalampidi, Olivia Wiles, Ira Ktena, Aleksandar Shtedritski, Emanuele Bugliarello, Ivana Kajić, Isabela Albuquerque, Aida Nematzadeh
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dynamic Early Exit in Reasoning ModelsChenxu Yang, Qingyi Si, Yongjie Duan, Zheliang Zhu, Chenyu Zhu, Qiaowei Li, Minghui Chen, Zheng Lin, Weipinng Wang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dynamic Multi-sample Mixup with Gradient Exploration for Open-set Graph Anomaly DetectionCaiyang Yu, Wei Ju, Haixin Wang, Yifan Wang, Ziyue Qiao
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dynamic Multimodal Activation Steering for Hallucination Mitigation in Large Vision-Language ModelsJianghao Yin, Qin Chen, Kedi Chen, Jie Zhou, Xingjiao Wu, Liang He
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dynamic Novel View Synthesis in High Dynamic RangeKaixuan Zhang, Zhipeng Xiong, Minxian Li, Mingwu Ren, Jiankang Deng, Xiatian Zhu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dynamic Reflections: Probing Video Representations with Text AlignmentMaks Ovsjanikov, Viorica Patraucean, Leonidas Guibas, Tyler Zhu, Tengda Han
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dynamic Speculative Agent PlanningYilin Guan, Qingfeng Lan, Fei Sun, Dujian Ding, Devang Acharya, Chi Wang, William Wang, Wenyue Hua
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dynamic Weight Grafting: Localizing Finetuned Factual Knowledge in TransformersTodd Nief, David Reber, Sean Richardson, Ari Holtzman
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dynamic-dLLM: Dynamic Cache-Budget and Adaptive Parallel Decoding for Training-Free Acceleration of Diffusion LLMTianyi Wu, Xiaoxi Sun, Yanhua Jiao, Yulin Li, Yixin Chen, Yun-Hao Cao, Yi-Qi Hu, Zhuotao Tian
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
DynamicInfer: Runtime-Aware Sparse Offloading for LLMs Inference on a Consumer-Grade GPUZhui Zhu, Weichen Zhang, Zhenghan Zhou, Yunhao Liu, Fan Dang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dynamical properties of dense associative memoryKazushi Mimura, Junichi Takeuchi, Yuto Sumikawa, Yoshiyuki Kabashima, Anthony CC Coolen
Machine Learning
日本大学: 広島市立大学 / 九州大学 / 東京大学
2026 · ICLR
Dynamics-Predictive Sampling for Active RL Finetuning of Large Reasoning ModelsYixiu Mao, Yun Qu, Qi Wang, Heming Zou, Xiangyang Ji
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Dyslexify: A Mechanistic Defense Against Typographic Attacks in CLIPLorenz Hufe, Constantin Venhoff, Erblina Purelku, Maximilian Dreyer, Sebastian Lapuschkin, Wojciech Samek
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
EA3D: Event-Augmented 3D Diffusion for Generalizable Novel View SynthesisWangbo Yu, Chaoran Feng, Jianing Li, Aofan Zhang, Zhenyu Tang, Mingyi Guo, Wei Zhang, Zhengyu Ma, Li Yuan, Yonghong Tian
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
EAMET: ROBUST MASSIVE MODEL EDITING VIA EMBEDDING ALIGNMENT OPTIMIZATIONYanbo Dai, Zhenlan Ji, Zongjie Li, Shuai Wang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
EAST: Early Action Prediction Sampling Strategy with Token MaskingIva Sović, Ivan Martinović, Marin Oršić
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ECHO: Toward Contextual Seq2Seq Paradigms in Large EEG ModelsChenyu Liu, Yuqiu Deng, Tianyu Liu, Jinan Zhou, XINLIANG ZHOU, Ziyu Jia, Yi Ding
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial StatementsIssa Sugiura, Takashi Ishida, Taro Makino, Chieko Tazuke, Takanori Nakagawa, Kosuke Nakago, David Ha
Machine Learning
日本大学: 東京科学大学 / 東京大学
2026 · ICLR
EEPO: Exploration-Enhanced Policy Optimization via Sample-Then-ForgetLiang CHEN, Xueting Han, Qizhou Wang, Bo Han, Jing Bai, Hinrich Schuetze, Kam-Fai Wong
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
EGG-SR: Embedding Symbolic Equivalence into Symbolic Regression via Equality GraphNan Jiang, Ziyi Wang, Yexiang Xue
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
EIP: Weighted Ranking of LLMs by Quantifying Question DifficultyXingjian Hu, Ziqian Zhang, Yue Huang, Kai Zhang, Ruoxi Chen, Yixin Liu, Qingsong Wen, Kaidi Xu, Xiangliang Zhang, Neil Gong, Lichao Sun
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ELEPHANT: Measuring and understanding social sycophancy in LLMsMyra Cheng, Sunny Yu, Cinoo Lee, Pranav Khadpe, Lujain Ibrahim, Dan Jurafsky
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ELLMob: Event-Driven Human Mobility Generation with Self-Aligned LLM FrameworkYusong Wang, Chuang Yang, Jiawei Wang, Xiaohang Xu, Jiayi Xu, Dongyuan Li, Chuan Xiao, Renhe Jiang
Machine Learning
日本大学: 東京科学大学 / 名古屋大学 / 東京大学
2026 · ICLR
ELMUR: External Layer Memory with Update/Rewrite for Long-Horizon RL ProblemsEgor Cherepanov, Alexey Kovalev, Aleksandr Panov
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ELViS: Efficient Visual Similarity from Local Descriptors that Generalizes Across DomainsPavel Suma, Giorgos Kordopatis-Zilos, Yannis Kalantidis, Giorgos Tolias
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
EMBridge: Enhancing Gesture Generalization from EMG Signals Through Cross-modal Representation LearningWenhui Cui, Christopher M. Sandino, Hadi Pouransari, Ran Liu, Juri Minxha, Ellen Zippi, Erdrin Azemi, Behrooz Mahasseni
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
EMFuse: Energy-based Model Fusion for Decision MakingKejie He, Yi-Chen Li, Yang Yu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ENACT: Evaluating Embodied Cognition with World Modeling of Egocentric InteractionQineng Wang, Wenlong Huang, Yu Zhou, Hang Yin, Tianwei Bao, Jianwen Lyu, Weiyu Liu, Ruohan Zhang, Jiajun Wu, Li Fei-Fei, Manling Li
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ERGO: Efficient High-Resolution Visual Understanding for Vision-Language ModelsJewon Lee, Wooksu Shin, Seungmin Yang, Ki-Ung Song, DongUk Lim, Jaeyeon Kim, Tae-Ho Kim, Bo-Kyeong Kim
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ERTACache: Error Rectification and Timesteps Adjustment for Efficient DiffusionXurui Peng, Chenqian Yan, Hong Liu, Rui Ma, Fangmin Chen, XING WANG, Zhihua Wu, Songwei Liu, Mingbao Lin
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ES-dLLM: Efficient Inference for Diffusion Large Language Models by Early-SkippingZijian Zhu, Fei Ren, Zhanhong Tan, Kaisheng Ma
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ETGS: Explicit Thermodynamics Gaussian Splatting for Dynamic Thermal ReconstructionZhongwen Wang, Han Ling, Weihao Zhang, Yinghui Sun, Quansen Sun
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
EUBRL: Epistemic Uncertainty Directed Bayesian Reinforcement LearningJianfei Ma, Wee Sun Lee
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
EVEREST: A Transformer for Probabilistic Rare-Event Anomaly Detection with Evidential and Tail-Aware UncertaintyAntanas Žilinskas, Robert Shorten, Jakub Marecek
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
EVLP: Learning Unified Embodied Vision-Language Planner with Reinforced Supervised Fine-Tuningxinyan cai, Qiang Guan, Shiguang Wu, DaFeng Chi, Yuzheng Zhuang, Xingyue Quan, Jianye Hao
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
EXP-Bench: Can AI Conduct AI Research Experiments?Patrick Tser Jern Kon, Qiuyi Ding, Jiachen Liu, Xinyi Zhu, Jingjia Peng, Jiarong Xing, Yibo Huang, Yiming Qiu, Jayanth Srinivasa, Myungjin Lee, Mosharaf Chowdhury, Matei Zaharia, Ang Chen
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
EXPO: Stable Reinforcement Learning with Expressive PoliciesPerry Dong, Qiyang Li, Dorsa Sadigh, Chelsea Finn
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Early Signs of Steganographic Capabilities in Frontier LLMsArtur Zolkowski, Kei Nishimura-Gasparian, Robert McCarthy, Roland Zimmermann, David Lindner
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Earth-Agent: Unlocking the Full Landscape of Earth Observation with AgentsPeilin Feng, Zhutao Lv, Junyan Ye, Xiaolei Wang, Xinjie Huo, Jinhua Yu, Wanghan Xu, Wenlong Zhang, LEI BAI, Conghui He, Weijia Li
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
EarthSE: A Benchmark Evaluating Earth Scientific Exploration Capability for Large Language ModelsWanghan Xu, Xiangyu Zhao, Yuhao Zhou, Xiaoyu Yue, Ben Fei, Fenghua Ling, Wenlong Zhang, LEI BAI
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Easier Painting Than Thinking: Can Text-to-Image Models Set the Stage, but Not Direct the Play?Ouxiang Li, Yuan Wang, Xinting Hu, Huijuan Huang, Rui Chen, Jiarong Ou, Xin Tao, Pengfei Wan, XIAOJUAN QI, Fuli Feng
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
EasyCreator: Empowering 4D Creation through Video InpaintingYue Ma, Kunyu Feng, Xinhua Zhang, Hongyu Liu, David Junhao Zhang, Jinbo Xing, Yinhan Zhang, Xiangpeng Yang, Xinyu Wang, Zeyu Wang, Qifeng Chen
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
EasyTune: Efficient Step-Aware Fine-Tuning for Diffusion-Based Motion GenerationXiaofeng Tan, Wanjiang Weng, Haodong Lei, Hongsong Wang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Echo: Towards Advanced Audio Comprehension via Audio-Interleaved ReasoningDaiqing Wu, Xuan Zhang, Dongbao Yang, Jiashu Yao, Longfei Chen, Qingsong Liu, Sicheng Zhao, Can Ma, Yangyang Kang, Yu ZHOU
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
EchoGen: Generating Visual Echoes in Any Scene via Feed-Forward Subject-Driven Auto-Regressive ModelRuixiao Dong, Zhendong Wang, Keli Liu, Li, Ying Chen, Kai Li, Daowen Li, Houqiang Li
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
EchoMind: An Interrelated Multi-level Benchmark for Evaluating Empathetic Speech Language ModelsLi Zhou, Lutong Yu, You Lyu, Yihang Lin, Zefeng Zhao, Junyi Ao, Yuhao Zhang, Wang Benyou, Haizhou Li
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
EchoMotion: Unified Human Video and Motion Generation via Dual-Modality Diffusion TransformerYuxiao Yang, Hualian Sheng, Sijia Cai, Jing Lin, Jiahao Wang, Bing Deng, Junzhe Lu, Haoqian Wang, Jieping Ye
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Echoes as Anchors: Probabilistic Costs and Attention Refocusing in LLM ReasoningZhuoyuan Hao, Zhuo Li, Wu Li, Fangming Liu, Min Zhang, Jing Li
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
EdgeCape: Edge Weight Prediction For Category-Agnostic Pose EstimationOr Hirschorn, Shai Avidan
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
EdiVal-Agent: An Object-Centric Framework for Automated, Fine-Grained Evaluation of Multi-Turn EditingTianyu Chen, Yasi Zhang, Zhi Zhang, Peiyu Yu, Shu Wang, Zhendong Wang, Kevin Lin, Xiaofei Wang, Zhengyuan Yang, Linjie Li, Chung-Ching Lin, Jianwen Xie, Oscar Leong, Lijuan Wang, Yingnian Wu, Mingyuan Zhou
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Edit-Based Flow Matching for Temporal Point ProcessesDavid Lüdke, Marten Lienen, Marcel Kollovieh, Stephan Günnemann
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
EditBench: Evaluating LLM Abilities to Perform Real-World Instructed Code EditsWayne Chi, Valerie Chen, Ryan Shar, Aditya Mittal, Jenny Liang, Wei-Lin Chiang, Anastasios Angelopoulos, Ion Stoica, Graham Neubig, Ameet Talwalkar, Chris Donahue
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
EditLens: Quantifying the Extent of AI Editing in TextKatherine Thai, Bradley Emi, Elyas Masrour, Mohit Iyyer
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
EditReward: A Human-Aligned Reward Model for Instruction-Guided Image EditingKeming Wu, Sicong Jiang, Max Ku, PING NIE, Minghao Liu, Wenhu Chen
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
EditScore: Unlocking Online RL for Image Editing via High-Fidelity Reward ModelingXin Luo, Jiahao Wang, Chenyuan Wu, Shitao Xiao, Xiyan Jiang, Defu Lian, Jiajun Zhang, Dong Liu, Zheng Liu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
EditVerse: Unifying Image and Video Editing and Generation with In-Context LearningXuan Ju, Tianyu Wang, Yuqian Zhou, HE Zhang, Qing Liu, Cherry Zhao, Zhifei Zhang, Yijun Li, Yuanhao Cai, Shaoteng Liu, Daniil Pakhomov, Zhe Lin, Soo Ye Kim, Qiang Xu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
EffiVMT: Video Motion Transfer via Efficient Spatial-Temporal Decoupled FinetuningYue Ma, Yulong Liu, Qiyuan Zhu, Xiangpeng Yang, Kunyu Feng, Xinhua Zhang, Zexuan Yan, Zhifeng Li, Sirui Han, Chenyang Qi, Qifeng Chen
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Efficient Adversarial Attacks on High-dimensional Offline BanditsSeyed Mohammad Hadi Hosseini, Amir Najafi, Mahdieh Baghshah
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Efficient Agent Training for Computer UseYanheng He, Jiahe Jin, Pengfei Liu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Efficient Approximate Posterior Sampling with Annealed Langevin Monte CarloAdvait Parulekar, Litu Rout, Karthikeyan Shanmugam, Sanjay Shakkottai
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Efficient Audio-Visual Speech Separation with Discrete Lip Semantics and Multi-Scale Global-Local AttentionKai Li, Kejun Gao, Xiaolin Hu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Efficient Autoregressive Inference for Transformer Probabilistic ModelsConor Hassan, Nasrulloh Satrio, Cen-You Li, Daolang Huang, Paul Chang, Yang, Francesco Silvestrin, Samuel Kaski, Luigi Acerbi
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Efficient Best-of-Both-Worlds Algorithms for Contextual Combinatorial Semi-BanditsMengmeng Li, Philipp Schneider, Jelisaveta Aleksic, Daniel Kuhn
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Efficient Credal Prediction through DecalibrationPaul Hofman, Timo Löhr, Maximilian Muschalik, Yusuf Sale, Eyke Hüllermeier
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Efficient Degradation-agnostic Image Restoration via Channel-Wise Functional Decomposition and Manifold RegularizationBin Ren, Yawei Li, Xu Zheng, Yuqian Fu, Danda Pani Paudel, Hong Liu, Ming-Hsuan Yang, Luc Van Gool, Nicu Sebe
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Efficient Differentiable Contact Model with Long-range InfluenceXIAOHAN YE, Kui Wu, Taku Komura, zherong pan
Machine Learning
日本大学: 関与なし(対象大学)