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
Next-Token Prediction and Regret Minimization
Mehryar Mohri, Clayton Sanford, Jon Schneider, Kiran Vodrahalli, Yifan Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
No Data? No Problem: Robust Vision-Tabular Learning with Missing Values
Marta Hasny, Laura Daza, Keno Bressem, Maxime Di Folco, Julia Schnabel
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
No Free Lunch: Non-Asymptotic Analysis of Prediction-Powered Inference
Pranav Mani, Peng Xu, Zachary Lipton, Michael Oberst
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
No More K-means: Single-Stage Sparse Coding for Efficient Multi-Vector Retrieval
Lixuan Guo, Yifei Wang, Tiansheng Wen, Aosong Feng, Stefanie Jegelka, Chenyu You
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
No More, No Less: Least-Privilege Language Models
Paulius Rauba, Dominykas Seputis, Patrikas Vanagas, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
No Need to Train Your RDB Foundation Model
Linjie Xu, Yanlin Zhang, Quan Gan, Minjie Wang, David Wipf
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
No Retraining at Edge: Efficient Resource-Aware Mixed-Precision Quantization via Federated Supernet Learning
Lianbo Ma, Yonghui Su, Nan Li, Xingwei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Noise as a Natural Regularizer in Markov Decision Processes: Connecting Environmental Stochasticity and Policy Simplicity
Harry Chen, Yiyang Sun, Michal Moshkovitz, Zachery Boner, Lesia Semenova, Cynthia Rudin, Ron Parr
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Noise-Guided Transport: Imitation Learning from Random Priors
Lionel Blondé, Joao A. Candido Ramos, Alexandros Kalousis
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Noise-Robust Density Estimation for Tabular Data Anomaly Detection
Dazhi Fu, Zhao Zhang, Jicong Fan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Noise-corrected GRPO: From Noisy Rewards to Unbiased Gradients
Omar Elmansouri, Fathinah Izzati, Mohamed El Amine Seddik, Salem Lahlou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
NoiseSDF2NoiseSDF: Learning Clean Neural Fields from Noisy Supervision
Tengkai Wang, Weihao Li, Ruikai Cui, Shi Qiu, Nick Barnes
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization
Taha EL BAKKALI EL KADI, Rayane Bouftini, Richard Zhang, Omar Saadi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Noisy-Channel Minimum Bayes Risk Decoding
Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe
Machine Learning
日本大学: 奈良先端科学技術大学院大学
2026 · ICML
Noisy-Space Policy Gradient for Diffusion Policies in Offline Reinforcement Learning
Mahmoud Selim, Cristina Cipriani, Karl Johansson
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Non-Adversarial Imitation Learning Provably Free of Compounding Errors: The Value Flow Mechanism
Tian Xu, Chenyang Wang, Xiaochen Zhai, Ziniu Li, Yi-Chen Li, Yang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Non-Euclidean Gradient Descent Operates at the Edge of Stability
Rustem Islamov, Michael Crawshaw, Jeremy Cohen, Robert Gower
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Non-Monotonic Autoregressive Sequence Model
Tianyi MA, Yiyue Qian, Yiyang Li, Zehong Wang, Yifan Ding, Zheyuan Zhang, Yan Liang, Chuxu Zhang, Yanfang Ye
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Non-Parametric Optimization for Scalable Learning in Stochastic Decision Problems
Mohsen Amidzade, Lauri Viitasaari, Mario Di Francesco
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Non-Parametric Probabilistic Robustness: A Conservative Risk Estimator under Unknown Perturbation Distributions
Zheng Wang, Yi Zhang, Siddartha Khastgir, carsten maple, Xingyu Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Non-Parametric Structural Priors for Geometry Theorem Prediction
Junbo Zhao, Ting Zhang, Can Li, Wei He, Jingdong Wang, Hua Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Non-Stationary Online Structured Prediction with Surrogate Losses
Shinsaku Sakaue, Han Bao, Yuzhou Cao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Non-Uniform Noise-to-Signal Ratio in the REINFORCE Policy-Gradient Estimator
Haoyu Han, Heng Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
NonZero: Interaction-Guided Exploration for Multi-Agent Monte Carlo Tree Search
Sizhe Tang, Zuyuan Zhang, Mahdi Imani, Tian Lan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Nonconvex Low-Rank Tensor Representation with Deep Priors for Multiview Subspace Clustering
Yao Fu, Dong Hu, Zhi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Nonlinear Covariate Balance in Experimental Design
Qing Chen, Peng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Nonparametric Data Attribution for Diffusion Models
Yutian Zhao, Chao Du, Xiaosen Zheng, Tianyu Pang, Min Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Nonparametric Distribution Regression Re-calibration
Ádám Jung, Domokos Kelen, Andras Benczur
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Nonparametric LLM Evaluation from Preference Data
Dennis Frauen, Athiya Deviyani, Mihaela van der Schaar, Stefan Feuerriegel
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
NorMuon: Making Muon more efficient and scalable
Zichong Li, Liming Liu, Chen Liang, Weizhu Chen, Tuo Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention
Weikang Meng, Yadan Luo, Liangyu Huo, Yingjian Li, Yaowei Wang, Xin Li, Zheng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Normality Calibration in Semi-supervised Graph Anomaly Detection
Guolei Zeng, Hezhe Qiao, Guoguo Ai, Jinsong Guo, Guansong Pang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Normalization Equivariance for Arbitrary Backbones, with Application to Image Denoising
Youssef Saied, François Fleuret
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Normalization-equivariant Diffusion Models: Learning Posterior Samplers From Noisy And Partial Measurements
Brett Levac, Jon Tamir, Marcelo Pereyra, Julián Tachella
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Normalized Rewards for Preference Optimization
Shawn Im, Federico Danieli, Skyler Seto, Barry-John Theobald, Katherine Metcalf
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Normalizing Flows with Iterative Denoising
Tianrong Chen, Jiatao Gu, David Berthelot, Joshua M Susskind, Shuangfei Zhai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Not All Answers Are Contextually Persuadable: Inference Dynamics in Large Language Models under Contextual Influence
Zongye Hu, Weiqing Luo, Yanjie Fu, Yu Gan, Haofeng Zhang, Ziyi Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Not All Frequencies Are Equal: Energy-Adaptive Diffusion for Time Series Forecasting
Zining Qin, Huiling qin, Chenhao Wang, Jianxiong Guo, Tian Wang, Weijia Jia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Not All Invariants Are Equal: Curating Training Data to Accelerate Program Verification with SLMs
Ido Pinto, Yizhak Elboher, Haoze Wu, Nina Narodytska, Guy Katz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Not All Prefills Are Equal: PPD Disaggregation for Multi-turn LLM Serving
Zongze Li, Jingyu Liu, Zach Xu, Yineng Zhang, Tahseen Rabbani, Ce Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Numina-Lean-Agent: An Open and General Agentic Reasoning System for Formal Mathematics
Junqi Liu, Zihao Zhou, Zekai Zhu, Marco Dos Santos, Weikun He, jiawei liu, Yunzhou Xie, Junqiao Zhao, Qiufeng Wang, Lihong Zhi, Jia LI, Wenda Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OBCache: Optimal Brain KV Cache Pruning for Efficient Long-Context LLM Inference
Yuzhe Gu, Xiyu Liang, Jiaojiao Zhao, Enmao Diao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OBJVanish: Prompt-Driven Generation of Physically Realizable 3D LiDAR-Invisible Objects
Bing Li, Wuqi Wang, Yanan Zhang, Jingzheng Li, Haigen Min, Wei Feng, Xingyu Zhao, Jie Zhang, Qing Guo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OC-space: a Unifying Perspective on Verification of Tree Ensembles
Timo Martens, Laurens Devos, Lorenzo Cascioli, Wannes Meert, Hendrik Blockeel, Jesse Davis
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OCNR: Stabilizing Self-Play by Mitigating Iteration-Collapse With One-Class Novelty Rewards
Seungyoo Lee, Giung Nam, Hyungi Lee, Juho Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OGPO: Sample Efficient Full-Finetuning of Generative Control Policies
Sarvesh Patil, Mitsuhiko Nakamoto, Manan Agarwal, Shashwat Saxena, Jesse Zhang, Giri Anantharaman, Cleah Winston, Chaoyi Pan, Douglas Chen, Nai-Chieh Huang, Zeynep Temel, Oliver Kroemer, Sergey Levine, Abhishek Gupta, Hongkai Dai, Paarth Shah, Max Simchowitz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OLion: Approaching the Hadamard Ideal by Intersecting Spectral and L inf Implicit Biases
Zixiao Wang, Yifei Shen, Huishuai Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OMAC: A Holistic Optimization Framework for LLM-Based Multi-Agent Collaboration
Shijun Li, Hilaf Hasson, Joydeep Ghosh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OMP: One-step Meanflow Policy with Directional Alignment
Han Fang, Yize Huang, Yuheng Zhao, Paul Weng, Xiao Li, Yutong Ban
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OOVDet: Low-Density Prior Learning for Zero-Shot Out-of-Vocabulary Object Detection
Binyi Su, chenghao huang, Chenhaiyong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OPIC: Enhancing Language Model Merging via Optimizing In-Context Capability
Jie He, Weidong Bao, Chao Chen, Zhengyi Zhong, Shuai Zhang, Ji Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OPT-Engine: Benchmarking the Limits of LLMs in Optimization Modeling via Complexity Scaling
Yitian Chen, Cheng Cheng, Yinan Sun, Zi Ling, Dongdong Ge
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OPTION: Optimal Transport–Guided Flow Matching for Incomplete and Unaligned Multi-View Clustering
Siyuan Zhou, Zhibin Gu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration
Shaobo Wang, Xuan Ouyang, Tianyi Xu, Yuzheng Hu, Jialin Liu, Guo Chen, Tianyu Zhang, Junhao Zheng, Kexin Yang, Xingzhang Ren, Dayiheng Liu, Linfeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ORBIT: A Prognostic World Model for Ocular Reasoning Based on Imagined Trajectories
Jiangtao Yan, Yanlin Qu, Yansheng Qiu, Shujian Gao, Wei Yu, Zheng Wang, Xiaodong Sun, Huixun Jia, Diping Song
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ORLoopBench: Solver-in-the-Loop Benchmarks for Self-Correction and Behavioral Rationality in Operations Research
Ruicheng Ao, David Simchi-Levi, Xinshang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization
Zhikai Li, Zhen Dong, Xuewen Liu, Jing Zhang, Qingyi Gu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OSCS: Online Selection with Provable FAR Control for LLM Safety
Zirui Hu, Zheng Zhang, Yingjie Wang, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OSF: On Pre-training and Scaling of Sleep Foundation Models
Zitao Shuai, Zongzhe Xu, David Yang, Wei Wang, Yuzhe Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OSM+: Billion-Level Open Street Map Dataset for City-wide Experiments
Guanjie Zheng, Ziyang Su, Yiheng Wang, Yuhang Luo, Hongwei Zhang, Xuanhe Zhou, Linghe Kong, Fan Wu, Wen Ling
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OSNIP: Balancing the Privacy-Utility-Efficiency Trilemma in LLM Inference via Obfuscated Semantic Null Space
Zhiyuan Cao, Zeyu Ma, Chenhao Yang, HAN ZHENG, Mingang Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OServe: Accelerating LLM Serving via Spatial-Temporal Workload Orchestration
Youhe Jiang, Fangcheng Fu, Taiyi Wang, Guoliang He, Eiko Yoneki
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents
Xinyu Li, ronghui mu, Lin Li, Tianjin Huang, Gaojie Jin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OVLR: Efficient, Scalable, and Robust Training via Output-Level Variance-Reduced Likelihood Ratio
Minhao Zou, Tao Ren, Jinyang Jiang, Rui Tao, Zehao Li, Jiale Fu, Hui Shao, Xianhua Liu, Yijie Peng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OXE-AugE: A Large-Scale Robot Augmentation of OXE for Scaling Cross-Embodiment Policy Learning
Guanhua Ji, Harsha Polavaram, Lawrence Yunliang Chen, Sandeep Bajamahal, Zehan Ma, Simeon Adebola, Chenfeng Xu, Ken Goldberg
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ObjEmbed: Towards Universal Multimodal Object Embeddings
Shenghao Fu, Yukun Su, Fengyun Rao, Jing LYU, Xiaohua Xie, Wei-Shi Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Object-level Semantic and Spatial Distillation for Open Vocabulary Detection
Zitong Li, Jinzhuo Wu, Fukang Zhao, Xinyue Wang, Jun Chen-CUG, Zhuo Cheng, Dapeng Luo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Obliviate: Efficient Unlearning in Recommender Systems
Tushar Prakash, Brijraj Singh, Niranjan Pedanekar, Narayan Chaturvedi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OcclusionFormer: Arranging Z-Order for Layout-Grounded Image Generation
Ziye Li, Henghui Ding
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Off-Policy Evaluation for Missingness-Aware Policies in MDPs with Rewards Missing Not at Random
Ziheng Wei, Annie Qu, Rui Miao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Off-Policy Evaluation with Strategic Agents via Local Disclosure
Kiet Vo, Gowtham Reddy Abbavaram, Julian Rodemann, Siu Lun Chau, Krikamol Muandet
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Off-Policy Learning in Large Action Spaces: Optimization Matters More Than Estimation
Imad AOUALI, Otmane Sakhi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Offline Multi-Agent Reinforcement Learning via Sequential Score Decomposition
Dan Qiao, Wenhao Li, Shanchao Yang, Hongyuan Zha, Baoxiang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Offline Multi-agent Continual Cooperation via Skill Partition and Reuse
Yuchen Xiao, lei yuan, Ruiqi Xue, Tieyue Yin, Yang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Offline Preference Optimization for Rectified Flow with Noise-Tracked Pairs
Yunhong Lu, Qichao Wang, Hengyuan Cao, Xiaoyin Xu, Min Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Offline Reinforcement Learning of High-Quality Behaviors Under Robust Style Alignment
Mathieu Petitbois, Rémy Portelas, sylvain lamprier
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Offline Reinforcement Learning with Generative Trajectory Policies
Xinsong Feng, Leshu Tang, Chenan Wang, Haipeng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Offline Reinforcement Learning with Universal Horizon Models
Hojun Chung, Junseo Lee, Songhwai Oh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Offline Two-Player Zero-Sum Markov Games with KL Regularization
Claire Chen, Yuheng Zhang, Xinyu Liu, Zixuan Xie, Shuze D Liu, Nan Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Olaf-World: Orienting Latent Actions for Video World Modeling
Yuxin Jiang, Yuchao Gu, Ivor Tsang, Mike Zheng Shou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Old Habits Die Hard: How Conversational History Geometrically Traps LLMs
Adi Simhi, Fazl Barez, Martin Tutek, Yonatan Belinkov, Shay Cohen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Olivia: Harmonizing Time Series Foundation Models with Power Spectral Density
Jingru Fei, Kun Yi, Alex Wang, Qingsong Wen, Xiangxiang Zhu, Wei Fan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Olmix: A Framework for Data Mixing Throughout LM Development
Mayee Chen, Tyler Murray, David Heineman, Matt Jordan, Hannaneh Hajishirzi, Christopher Re, Luca Soldaini, Kyle Lo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Omitted Variable Bias in Language Models Under Distribution Shift
Victoria Lin, Louis-Philippe Morency, Eli Ben-Michael
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Omni-Diffusion: Unified Multimodal Understanding and Generation with Masked Discrete Diffusion
Lijiang Li, zuwei long, Yunhang Shen, Heting Gao, Haoyu Cao, Xing Sun, Caifeng Shan, Ran He, Chaoyou Fu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Omni-Perception Policy Optimization for Multimodal Emotion Reasoning
Zhiyuan Han, Beier Zhu, Wenwen Tong, Pengyang Shao, Peipei Song, Xinyi Wang, Jiangnan Chen, Lewei Lu, Xun Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Omni-fMRI: A Universal Atlas-Free fMRI Foundation Model
Mo Wang, Wenhao Ye, Junfeng Xia, Junxiang Zhang, Xuanye Pan, Minghao Xu, Haotian Deng, Hongkai Wen, Quanying Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OmniAID: Decoupling Semantic and Artifacts for Universal AI-Generated Image Detection in the Wild
Yuncheng Guo, Jiaxin Huang, Chenjue Zhang, Hengrui Kang, Haohuan Fu, Conghui He, Weijia Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OmniFit: Bridging Modalities via Layer-Adaptive Token Compression for Omnimodal Large Language Models
Zining Wang, Zhihang Yuan, Yingjie Zhai, Wenshuo Li, Han Shu, Ruihao Gong, Jinyang Guo, Xianglong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OmniMoE: An Efficient MoE by Orchestrating Atomic Experts at Scale
Jingze Shi, Zhangyang Peng, Yizhang Zhu, Yifan WU, Guang Liu, Yuyu Luo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OmniSIFT: Modality-Asymmetric Token Compression for Efficient Omni-modal Large Language Models
Yue Ding, Yiyan Ji, Jungang Li, Xuyang Liu, Xinlong Chen, Junfei Wu, Bozhou Li, Bohan Zeng, Yang Shi, Yushuo Guan, Yuanxing Zhang, Jiaheng Liu, Qiang Liu, Pengfei Wan, Liang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OmniSapiens: A Foundation Model for Social Behavior Processing via Heterogeneity-Aware Relative Policy Optimization
Keane Ong, Sabri Boughorbel, Luwei Xiao, Chanakya Ekbote, David Dai, Ao Qu, Jingyao Wu, Rui Mao, Ehsan Hoque, Erik Cambria, Gianmarco Mengaldo, Paul Pu Liang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OmniShow: Unifying Multimodal Conditions for Human-Object Interaction Video Generation
Donghao Zhou, Guisheng Liu, Hao Yang, Jiatong Li, Jingyu Lin, Xiaohu Huang, Yichen Liu, Xin Gao, Cunjian Chen, Shilei Wen, Chi Wing Fu, Pheng Ann Heng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OmniVL-Guard: Towards Unified Vision-Language Forgery Detection and Grounding via Balanced RL
Jinjie Shen, Jing Wu, Yaxiong Wang, Lechao Cheng, Shengeng Tang, Tianrui Hui, Nan Pu, Zhun Zhong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
OmniVideo-R1: Reinforcing Audio-visual Reasoning with Query Intention and Modality Attention
Zhangquan Chen, Jiale Tao, Ruihuang Li, Yihao Hu, Ruitao Chen, Zhantao Yang, Xinlei Yu, Haodong Jing, Manyuan Zhang, Shuai Shao, Biao Wang, Qinglin Lu, Ruqi Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
On Computation and Reinforcement Learning
Raj Ghugare, Michał Bortkiewicz, Alicja Ziarko, Benjamin Eysenbach
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
On Contraction of Sequential and Offset Rademacher Complexities
Adam Block, Alexander Rakhlin, Mark Sellke
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
On Densest $k$-Subgraph Mining and Diagonal Loading: Optimization Landscape and Finite-Step Exact Convergence Analysis
Qiheng Lu, Nicholas Sidiropoulos, Aritra Konar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
On Effectiveness and Efficiency of Agentic Tool-calling and RL Training
Tong Liu, Cheng Qian, Matej Cief, Yuan He, Daniele Dan, Nikolaos Aletras, Gabriella Kazai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
On Efficient Scaling of GNNs via IO-Aware Layers Implementations
Daria Fomina, Daniil Krasylnikov, Alexey Boykov, Andrey Dolgovyazov, Vyacheslav Zhdanovskiy, Fedor Velikonivtsev
Machine Learning
日本大学: 関与なし（対象大学）