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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
Neural Posterior Estimation with Latent Basis Expansions
Declan McNamara, Yicun Duan, Jeffrey Regier
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Neural Predictor-Corrector: Solving Homotopy Problems with Reinforcement Learning
Jiayao Mai, Bangyan Liao, Zhenjun Zhao, Yingping Zeng, Haoang Li, Javier Civera, Tailin Wu, Yi Zhou, Peidong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Neural Sum-of-Squares: Certifying the Nonnegativity of Polynomials with Transformers
Nico Pelleriti, Christoph Spiegel, Shiwei Liu, David Martinez-Rubio, Max Zimmer, Sebastian Pokutta
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Neural Synchrony Between Socially Interacting Language Models
Zhining Zhang, Wentao Zhu, Chi Han, Yizhou Wang, Heng Ji
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Neural Theorem Proving for Verification Conditions: A Real-World Benchmark
Qiyuan Xu, Xiaokun Luan, Renxi Wang, Joshua Leang, Peixin Wang, Haonan Li, Wenda Li, Conrad Watt
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Neural+Symbolic Approaches for Interpretable Actor-Critic Reinforcement Learning
Yue Yang, Fan Yang, Yu Bai, Hao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NeuralOS: Towards Simulating Operating Systems via Neural Generative Models
Luke Rivard, Sun Sun, Hongyu Guo, Wenhu Chen, Yuntian Deng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Neuro-Symbolic Decoding of Neural Activity
Yanchen Wang, Joy Hsu, Ehsan Adeli, Jiajun Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Neuron-Aware Data Selection in Instruction Tuning for Large Language Models
Xin Chen, Junchao Wu, Shu Yang, Runzhe Zhan, Zeyu Wu, Min Yang, Shujian Huang, Lidia Chao, Derek Wong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Neuron-Level Analysis of Cultural Understanding in Large Language Models
Taisei Yamamoto, Ryoma Kumon, Danushka Bollegala, Hitomi Yanaka [東北大学] [東京大学]
Machine Learning
日本大学: 東北大学 / 東京大学
2026 · ICLR
Never Saddle for Reparameterized Steepest Descent as Mirror Flow
Tom Jacobs, Chao Zhou, Rebekka Burkholz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
New Hybrid Fine-Tuning Paradigm for LLMs: Algorithm Design and Convergence Analysis Framework
Shaocong Ma, Peiran Yu, Heng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Newton Method Revisited: Global Convergence Rates up to $O(1/k^3)$ for Stepsize Schedules and Linesearch Procedures
Slavomir Hanzely, Farshed Abdukhakimov, Martin Takáč
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NewtonBench: Benchmarking Generalizable Scientific Law Discovery in LLM Agents
Tianshi Zheng, Kiu Wai Tam, Kim Hue Nam Nguyen, Baixuan Xu, Zhaowei Wang, Cheng Jiayang, Hong Ting Tsang, Weiqi Wang, Jiaxin Bai, Tianqing Fang, Yangqiu Song, Ginny Wong, Simon See
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NewtonGen: Physics-consistent and Controllable Text-to-Video Generation via Neural Newtonian Dynamics
Yu Yuan, Xijun Wang, Tharindu Wickremasinghe, Zeeshan Nadir, Bole Ma, Stanley Chan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Next Visual Granularity Generation
Yikai Wang, Zhouxia Wang, Zhonghua Wu, Qingyi Tao, Kang Liao, Chen Change Loy
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Next-ToBE: Probabilistic Next Token-Bag Exploitation for Activating Anticipatory Capacity in LLMs
Yihe Liu, Huibin Wang, Xianming Hu, Pinyi Zhang, Jiahao Xiong, Chenglin Wang, Nuoyi Chen, Hongbo Zhao, Jie Zhang, Kai Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NextQuill: Causal Preference Modeling for Enhancing LLM Personalization
Xiaoyan Zhao, Juntao Jun, Yang Zhang, Wenjie Wang, Hong Cheng, Fuli Feng, See-Kiong Ng, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale
chunrui han, Guopeng Li, Jingwei Wu, Quan Sun, Yan Cai, Yuang Peng, Zheng Ge, Deyu Zhou, Haomiao Tang, Hongyu Zhou, Kenkun Liu, Shu-Tao Xia, Binxing Jiao, Daxin Jiang, Xiangyu Zhang, Yibo Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Neyman-Pearson Classification under Both Null and Alternative Distributions Shift
Mohammadreza Mousavi Kalan, Yuyang Deng, Eitan J. Neugut, Samory Kpotufe
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
No Caption, No Problem: Caption-Free Membership Inference via Model-Fitted Embeddings
Joonsung Jeon, Woo Jae Kim, Suhyeon Ha, Sooel Son, Sung-eui Yoon
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
No Labels, No Problem: Training Visual Reasoners with Multimodal Verifiers
Damiano Marsili, Georgia Gkioxari
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
No Pixel Left Behind: A Detail-Preserving Architecture for Robust High-Resolution AI-Generated Image Detection
Lianrui Mu, Haoji Hu, Xingze Zou, Jianhong Bai, Jiaqi Hu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
No Prior, No Leakage: Revisiting Reconstruction Attacks in Trained Neural Networks
Yehonathan Refael, Guy Smorodinsky, Ofir Lindenbaum, Itay Safran
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping
Thanh-Long V. Le, Myeongho Jeon, Kim Vu, Viet Lai, Eunho Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
No outlier channels but with outlier blocks
Shanwen Mao, Hao Zhang, Jiasheng Li, Haoyu Qiao, Chenxin Cai, Tingting Wu, Jie Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
No, of Course I Can! Deeper Fine-Tuning Attacks That Bypass Token-Level Safety Mechanisms
Joshua Kazdan, Abhay Puri, Rylan Schaeffer, Lisa Yu, Chris Cundy, Jason Stanley, Sanmi Koyejo, Krishnamurthy Dvijotham
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Noise Stability of Transformer Models
Themistoklis Haris, Zihan Zhang, Yuichi Yoshida
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Noise Tolerance of Distributionally Robust Learning
Ramzi Dakhmouche, Ivan Lunati, Hossein Gorji
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Noise-Adaptive Diffusion Sampling for Inverse Problems Without Task-Specific Tuning
Yingzhi Xia, Setthakorn Tanomkiattikun, Liangli Zhen, ZAIWANG GU
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization
Siqi Wang, Aoming Liu, Bryan Plummer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NoisePrints: Distortion-Free Watermarks for Authorship in Private Diffusion Models
Nir Goren, Oren Katzir, Abhinav Nakarmi, Eyal Ronen, Mahmood Sharif, Or Patashnik
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Noisy but Valid: Robust Statistical Evaluation of LLMs with Imperfect Judges
Chen Feng, Minghe Shen, Ananth Balashankar, Carsten Gerner-Beuerle, Miguel Rodrigues
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Noisy-Pair Robust Representation Alignment for Positive-Unlabeled Learning
Hengwei Zhao, Zhengzhong Tu, Zhuo Zheng, Wei Wang, Junjue Wang, Rusty Feagin, Wenzhe Jiao
Machine Learning
日本大学: 東京大学
2026 · ICLR
Non-Asymptotic Analysis of (Sticky) Track-and-Stop
Riccardo Poiani, Martino Bernasconi, Andrea Celli
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Non-Asymptotic Analysis of Efficiency in Conformalized Regression
Yunzhen Yao, Lie He, Michael Gastpar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Non-Clashing Teaching in Graphs: Algorithms, Complexity, and Bounds
Sujoy Bhore, Liana Khazaliya, Fionn Mc Inerney
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Non-Collaborative User Simulators for Tool Agents
Jeonghoon Shim, Woojung Song, Cheyon Jin, Seungwon KooK, Yohan Jo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Non-Convex Federated Optimization under Cost-Aware Client Selection
Xiaowen Jiang, Anton Rodomanov, Sebastian Stich
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Nonparametric Contextual Online Bilateral Trade
Emanuele Coccia, Martino Bernasconi, Andrea Celli
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Nonparametric Teaching of Attention Learners
Chen Zhang, Jianghui Wang, Bingyang Cheng, Zhongtao Chen, Wendong XU, Cong Wang, Marco Canini, Francesco Orabona, Yik-Chung WU, Ngai Wong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Not All Bits Are Equal: Scale-Dependent Memory Optimization Strategies for Reasoning Models
Junhyuck Kim, Ethan Ewer, Taehong Moon, Jongho Park, Dimitris Papailiopoulos
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Not All Documents Are What You Need for Extracting Instruction Tuning Data
Chi Zhang, Huaping Zhong, Hongtao Li, Chengliang Chai, Hongjiawei, Yu-Ping Wang, Yuhao Deng, Jiacheng Wang, Yizhou Yan, Qiu Jiantao, Conghui He, Lei Cao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Not All Models Suit Expert Offloading: On Local Routing Consistency of Mixture-of-Expert Models
Jingcong Liang, Siyuan Wang, Miren Tian, Yitong Li, Duyu Tang, zhongyu wei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Not Search, But Scan: Benchmarking MLLMs on Scan-Oriented Academic Paper Reasoning
Rongjin Li, Zichen Tang, Xianghe Wang, Xinyi Hu, Zhengyu Wang, Zhengyu Lu, Yiling Huang, Jiayuan Chen, Weisheng Tan, Jiacheng Liu, Zhongjun Yang, Haihong E
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Not-a-Bandit: Provably No-Regret Drafter Selection in Speculative Decoding for LLMs
Hongyi Liu, Jiaji Huang, Zhen Jia, Youngsuk Park, Yu-Xiang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Nudging the Boundaries of LLM Reasoning
Justin Chen, XIANGYU PENG, Prafulla Kumar Choubey, Kung-Hsiang Huang, Jiaxin Zhang, Mohit Bansal, Chien-Sheng Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Null-Space Filtering for Data-Free Continual Model Merging: Preserving Stability, Promoting Plasticity
Zihuan Qiu, Lei Wang, Yang Cao, Runtong ZHANG, Bing Su, Yi Xu, Fanman Meng, Linfeng Xu, Qingbo Wu, Hongliang Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Numerion: A Multi-Hypercomplex Model for Time Series Forecasting
Hanzhong Cao, WenBo Yan, Ying Tan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NurValues: Real-World Nursing Values Evaluation for Large Language Models in Clinical Context
Ben Yao, Qiuchi Li, Yazhou Zhang, Yang siyu, Bohan Zhang, Prayag Tiwari, Jing Qin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Nüwa: Mending the Spatial Integrity Torn by VLM Token Pruning
Yihong Huang, Fei Ma, Yihua Shao, Jingcai Guo, Zitong YU, Laizhong Cui, Qi Tian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OBS-Diff: Accurate Pruning For Diffusion Models in One-Shot
Junhan Zhu, Hesong Wang, Mingluo Su, Zefang Wang, Huan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image Reasoning
Mingxin Huang, Yongxin Shi, Dezhi Peng, Songxuan Lai, Zecheng Xie, Lianwen Jin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OD$^3$: Optimization-free Dataset Distillation for Object Detection
Salwa Al Khatib, Ahmed Elhagry, Shitong Shao, Zhiqiang Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ODE-GS: Latent ODEs for Dynamic Scene Extrapolation with 3D Gaussian Splatting
Daniel Wang, Patrick Rim, Tian Tian, Dong Lao, Alex Wong, Ganesh Sundaramoorthi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ODEBrain: Continuous-Time EEG Graph for Modeling Dynamic Brain Networks
Haohui Jia, Zheng Chen, Lingwei Zhu, Rikuto Kotoge, Jathurshan Pradeepkumar, Yasuko Matsubara, Jimeng Sun, Yasushi Sakurai, Takashi Matsubara
Machine Learning
日本大学: 北海道大学 / 大阪大学 / 東京大学
2026 · ICLR
ODESteer: A Unified ODE-Based Steering Framework for LLM Alignment
Hongjue Zhao, Haosen Sun, Jiangtao Kong, Xiaochang Li, Qineng Wang, Liwei Jiang, Qi Zhu, Tarek Abdelzaher, Yejin Choi, Manling Li, Huajie Shao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ODI-Bench: Can MLLMs Understand Immersive Omnidirectional Environments?
Liu Yang, Huiyu Duan, Ran Tao, Juntao Cheng, Sijing Wu, Yunhao Li, jing Liu, Xiongkuo Min, Guangtao Zhai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OFMU: OPTIMIZATION-DRIVEN FRAMEWORK FOR MACHINE UNLEARNING
Sadia Asif, Mohammad Mohammadi Amiri
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OPPO: Accelerating PPO-based RLHF via Pipeline Overlap
Kaizhuo Yan, YingJie Yu, Yifan Yu, Haizhong Zheng, Fan Lai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OPRIDE: Efficient Offline Preference-based Reinforcement Learning via In-Dataset Exploration
Yiqin Yang, Hao Hu, Yihuan Mao, Jin Zhang, Chengjie Wu, Yuhua Jiang, Xu Yang, Runpeng Xie, Yi Fan, Bo Liu, Yang Gao, Bo XU, Chongjie Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OR-PRM: A Process Reward Model for Algorithmic Problem in Operations Research
Yilin Wang, Heng Zhou, Dongxing Mao, Linjie Li, Jingru Tan, Haochen Han, Zhengyuan Yang, Alex Jinpeng Wang, Min Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ORCaS: Unsupervised Depth Completion via Occluded Region Completion as Supervision
Hyoungseob Park, Runjian Chen, Patrick Rim, Dong Lao, Alex Wong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ORION: Decoupling and Alignment for Unified Autoregressive Understanding and Generation
taihang Hu, Mengting Chen, Jinsong Lan, Xiaoyong Zhu, Kaifu Zhang, Ming-Ming Cheng, Bo Zheng, Yaxing Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OSCAR: Online Soft Compression for RAG
Maxime Louis, Thibault Formal, Hervé Déjean, Stéphane Clinchant
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OSIRIS: Bridging Analog Circuit Design and Machine Learning with Scalable Dataset Generation
Giuseppe Chiari, Michele Piccoli, Davide Zoni
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OSWorld-MCP: Benchmarking MCP Tool Invocation In Computer-Use Agents
Hongrui Jia, Jitong Liao, Xi Zhang, Haiyang Xu, Tianbao Xie, Chaoya Jiang, Ming Yan, Si Liu, Wei Ye, Fei Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OVID: Open-Vocabulary Intrusion Detection
Fujun Han, Jingqi Ye, Chenglong Zhang, Peng Ye
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OVSeg3R: Learn Open-vocabulary Instance Segmentation from 2D via 3D Reconstruction
Hongyang Li, Jinyuan Qu, Lei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OWL : Geometry-Aware Spatial Reasoning for Audio Large Language Models
Subrata Biswas, Mohammad Khan, Bashima Islam
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OXtal: An All-Atom Diffusion Model for Organic Crystal Structure Prediction
Emily Jin, Andrei Nica, Mikhail Galkin, Jarrid Rector-Brooks, Kin Long Kelvin Lee, Santiago Miret, Frances Arnold, Michael Bronstein, Joey Bose, Alexander Tong, Chenghao Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Obfuscated Activations Bypass LLM Latent-Space Defenses
Luke Bailey, Alex Serrano, Abhay Sheshadri, Mikhail Seleznyov, Jordan Taylor, Erik Jenner, Jacob Hilton, Stephen Casper, Carlos Guestrin, Scott Emmons
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Object Fidelity Diffusion for Remote Sensing Image Generation
Ziqi Ye, Shuran Ma, Jie Yang, Xiaoyi Yang, Yi Yang, Ziyang Gong, Xue Yang, Haipeng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Object-Centric Refinement for Enhanced Zero-Shot Segmentation
Srinivasa Rao Nandam, Sara Atito, Zhenhua Feng, Josef Kittler, Muhammad Awais
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Object-Centric World Models from Few-Shot Annotations for Sample-Efficient Reinforcement Learning
Weipu Zhang, Adam Jelley, Trevor McInroe, Amos Storkey, Gang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Obscure but Effective: Classical Chinese Jailbreak Prompt Optimization via Bio-Inspired Search
Xun Huang, Simeng Qin, Xiaoshuang Jia, Ranjie Duan, Huanqian Yan, Zhitao Zeng, Fei Yang, Yang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OccDriver: Future Occupancy Guided Dual-branch Trajectory Planner in Autonomous Driving
Zhao Huang, Bowen Zhang, Zhongzhu Li, Di Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning
Aravind Venugopal, Jiayu Chen, Xudong Wu, Chongyi Zheng, Benjamin Eysenbach, Jeff Schneider
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Octax: Accelerated CHIP-8 Arcade Environments for Reinforcement Learning in JAX
Waris Radji, Thomas Michel, Hector Piteau
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Off-Policy Evaluation for Ranking Policies under Deterministic Logging Policies
Koichi Tanaka, Kazuki Kawamura, Takanori Muroi, Yusuke Narita, Yuki Sasamoto, Kei Tateno, Takuma Udagawa, Wei-Wei Du, Yuta Saito
Machine Learning
日本大学: 慶應義塾大学
2026 · ICLR
Off-Policy Safe Reinforcement Learning with Cost-Constrained Optimistic Exploration
Guopeng Li, Matthijs T. J. Spaan, Julian Kooij
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Off-Trajectory Reasoning: Can LLMs Collaborate on Reasoning Trajectories?
Aochong Li, Tanya Goyal
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OffTopicEval: When Large Language Models Enter the Wrong Chat, Almost Always!
Jingdi Lei, Varun Gumma, Rishabh Bhardwaj, Seok Lim, Chuan Li, Amir Zadeh, Soujanya Poria
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Offline Preference-Based Value Optimization
Hyungkyu Kang, Min-hwan Oh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Offline Reinforcement Learning with Adaptive Feature Fusion
Tieru Wang, Kunbao Wu, Guoshun Nan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Omni-Captioner: Data Pipeline, Models, and Benchmark for Omni Detailed Perception
Ziyang Ma, Ruiyang Xu, Zhenghao Xing, Yunfei Chu, Yuxuan Wang, Jinzheng He, Jin Xu, Pheng-Ann Heng, Kai Yu, Junyang Lin, Ensiong Chng, Xie Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Omni-IML: Towards Unified Interpretable Image Manipulation Localization
Chenfan Qu, Yiwu Zhong, Fengjun Guo, Lianwen Jin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences
Zhuoran Jin, Hongbang Yuan, Kejian Zhu, Jiachun Li, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Omni-View: Unlocking How Generation Facilitates Understanding in Unified 3D Model based on Multiview images
Jiakui Hu, Shanshan Zhao, Qing-Guo Chen, Xuerui Qiu, Jialun Liu, Zhao Xu, Weihua Luo, Kaifu Zhang, Yanye Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Omni-Weather: A Unified Multimodal Model for Weather Radar Understanding and Generation
Zhiwang Zhou, Yuandong Pu, Xuming He, Yidi Liu, Yixin Chen, Junchao Gong, Xiang Zhuang, Wanghan Xu, Qinglong Cao, SHIXIANG TANG, Yihao Liu, Wenlong Zhang, LEI BAI
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Omni-iEEG: A Large-Scale, Comprehensive iEEG Dataset and Benchmark for Epilepsy Research
Chenda Duan, Yipeng Zhang, Sotaro Kanai, Yuanyi Ding, Atsuro Daida, Pengyue Yu, Tiancheng Zheng, Naoto Kuroda, Shaun Hussain, Eishi Asano, Hiroki Nariai, Vwani Roychowdhury
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OmniActor: A Generalist GUI and Embodied Agent for 2D&3D Worlds
Longrong Yang, Zhixiong Zeng, Yufeng Zhong, Jing Huang, Liming Zheng, Lei Chen, Haibo Qiu, Zequn Qin, Lin Ma, Xi Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OmniCT: Towards a Unified Slice-Volume LVLM for Comprehensive CT Analysis
Tianwei Lin, Zhongwei Qiu, Wenqiao Zhang, Jiang Liu, Yihan Xie, Mingjian Gao, Zhenxuan Fan, Zhaocheng Li, Sijing Li, Zhongle Xie, Peng LU, Yueting Zhuang, Ling Zhang, Beng Chin Ooi, Yingda Xia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OmniCVR: A Benchmark for Omni-Composed Video Retrieval with Vision, Audio, and Text
Junyang Ji, Shengjun Zhang, Da Li, Yuxiao Luo, Yan Wang, Di Xu, Biao Yang, Wei Yuan, Fan Yang, Zhihai He, Wenming Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OmniEVA: Embodied Versatile Planner via Task-Adaptive 3D-Grounded and Embodiment-aware Reasoning
Yuecheng Liu, DaFeng Chi, Shiguang Wu, Zhanguang Zhang, Yuzheng Zhuang, Bowen Yang, He Zhu, Lingfeng Zhang, Pengwei Xie, David Gamaliel Arcos Bravo, Yingxue Zhang, Jianye Hao, Xingyue Quan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OmniField: Conditioned Neural Fields for Robust Multimodal Spatiotemporal Learning
Kevin Valencia, Thilina Balasooriya, Xihaier Luo, Shinjae Yoo, David Park
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens
Konstantin F. Willeke, Polina Turishcheva, Alex Gilbert, Goirik Chakrabarty, Hasan Bedel, Paul Fahey, Yongrong Qiu, Marissa Weis, Michaela Vystrčilová, Taliah Muhammad, Lydia Ntanavara, Rachel Froebe, Kayla Ponder, Zheng Huan Tan, Emin Orhan, Erick M Cobos, Sophia Sanborn, Katrin Franke, Fabian Sinz, Alexander S Ecker, Andreas Tolias
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OmniNav: A Unified Framework for Prospective Exploration and Visual-Language Navigation
Xinda Xue, Junjun Hu, Minghua Luo, Shichao Xie, Jintao Chen, Zixun Xie, Quan Kuichen, Wei Guo, Zedong Chu, Mu Xu, Zhengzhou Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OmniPortrait: Fine-Grained Personalized Portrait Synthesis via Pivotal Optimization
Dongxu Yue, Bo Lin, Yao Tang, Jiajun Liang, Zhihai He, Chun Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OmniSTVG: Toward Spatio-Temporal Omni-Object Video Grounding
Jiali Yao, Xin Gu, Xinran Deng, Mengrui Dai, Bing Fan, Zhipeng Zhang, Yan Huang, Heng Fan, Libo Zhang
Machine Learning
日本大学: 関与なし（対象大学）