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
OmniSpatial: Towards Comprehensive Spatial Reasoning Benchmark for Vision Language Models
Mengdi Jia, Zekun Qi, Shaochen Zhang, Wenyao Zhang, XinQiang Yu, Jiawei He, He Wang, Li Yi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OmniText: A Training-Free Generalist for Controllable Text-Image Manipulation
Agus Gunawan, Samuel Teodoro, Yun Chen, Soo Ye Kim, Jihyong Oh, Munchurl Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs
Caorui Li, Yu Chen, Yiyan Ji, Jin Xu, Zhenyu Cui, Shihao Li, Yuanxing Zhang, Zhenghao Song, Dingling Zhang, Ying He, Haoxiang Liu, Yuxuan Wang, Qiufeng Wang, Jiafu Tang, Zhenhe Wu, Jiehui Luo, Zhiyu Pan, Weihao Xie, Chenchen Zhang, Zhaohui Wang, Jiayi Tian, Yanghai Wang, Zhe Cao, Minxin Dai, Ke Wang, Runzhe Wen, Yinghao MA, Yaning Pan, Sungkyun Chang, Termeh Taheri, Haiwen Xia, Christos Plachouras, Emmanouil Benetos, Yizhi Li, Ge Zhang, Jian Yang, Tianhao Peng, zili wang, Minghao Liu, Junran Peng, Zhaoxiang Zhang, JIAHENG LIU
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM
Hanrong Ye, Chao-Han Huck Yang, Arushi Goel, Wei Huang, Zhen Wan, Jinchuan Tian, An-Chieh Cheng, Ligeng Zhu, Yuanhang Su, Yuming Lou, Yong-Xiang Lin, Dong Yang, Sreyan Ghosh, Zhijian Liu, Yukang Chen, Ehsan Jahangiri, Ambrish Dantrey, Daguang Xu, Ehsan Hosseini-Asl, Seyed Danial Mohseni Taheri, Vidya Nariyambut Murali, Sifei Liu, Yao Lu, Oluwatobi Olabiyi, Yu-Chiang Frank Wang, Rafael Valle, Bryan Catanzaro, Andrew Tao, Song Han, Jan Kautz, Hongxu (Danny) Yin, Pavlo Molchanov
Machine Learning
日本大学: 京都大学
2026 · ICLR
OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling
Yang Zhou, Yifan Wang, Jianjun Zhou, Wenzheng Chang, Haoyu Guo, Zizun Li, Kaijing Ma, Xinyue Li, Yating Wang, Haoyi Zhu, Mingyu Liu, Dingning Liu, Jiange Yang, Zhoujie Fu, Junyi Chen, Chunhua Shen, Jiangmiao Pang, Kaipeng Zhang, Tong He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On Code-Induced Reasoning in LLMs
Abdul Waheed, Zhen Wu, Carolyn Rose, Daphne Ippolito
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On Coreset for LASSO Regression Problem with Sensitivity Sampling
Yuanbin Zou, Junyu Huang, Jianxin Wang, Qilong Feng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On Discovering Algorithms for Adversarial Imitation Learning
Shashank Reddy Chirra, Jayden Teoh, Praveen Paruchuri, Pradeep Varakantham
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On Discriminative vs. Generative classifiers: Rethinking MLLMs for Action Understanding
Zhanzhong Pang, Dibyadip Chatterjee, Fadime Sener, Angela Yao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On Entropy Control in LLM-RL Algorithms
Han Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On Fairness of Task Arithmetic: The Role of Task Vectors
Laura Gomezjurado Gonzalez, Hiroki Naganuma, Kotaro Yoshida, Takafumi Horie, Yuji Naraki, Ryotaro Shimizu
Machine Learning
日本大学: 東京科学大学 / 京都大学
2026 · ICLR
On Measuring Influence in Avoiding Undesired Future
Lue Tao, Tian-Zuo Wang, Yuan Jiang, Zhi-Hua Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On Optimal Hyperparameters for Differentially Private Deep Transfer Learning
Aki Rehn, Linzh Zhao, Mikko Heikkilä, Antti Honkela
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On Powerful Ways to Generate: Autoregression, Diffusion, and Beyond
Chenxiao Yang, Cai Zhou, David Wipf, Zhiyuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On Predictability of Reinforcement Learning Dynamics for Large Language Models
Cai Yuchen, Ding Cao, Xin Xu, Zijun Yao, Yuqing Huang, Benyi Zhang, Zhenyu Tan, Guiquan Liu, Junfeng Fang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On Robustness of Vision-Language-Action Model against Multi-Modal Perturbations
Jianing Guo, Zhenhong Wu, Chang Tu, Yiyao Ma, Xiangqi Kong, Zhiqian Liu, Jiaming Ji, Shuning Zhang, Yuanpei Chen, Kai Chen, Qi Dou, Yaodong Yang, Xianglong Liu, Huijie Zhao, Weifeng Lv, Simin Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On Smoothness Bounds for Non-Clairvoyant Scheduling with Predictions
Tianming Zhao, Albert Zomaya
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On The Expressive Power of GNN Derivatives
Yam Eitan, Moshe Eliasof, Yoav Gelberg, Fabrizio Frasca, Guy Bar-Shalom, Haggai Maron
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On The Fragility of Benchmark Contamination Detection in Reasoning Models
Han Wang, Haoyu Li, Brian Ko, Huan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On The Geometry and Topology of Representations: the Manifolds of Modular Addition
Gabriela Moisescu-Pareja, Gavin McCracken, Harley Wiltzer, Colin Daniels, Vincent Létourneau, Doina Precup, Jonathan Love
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On The Surprising Effectiveness of a Single Global Merging in Decentralized Learning
Tongtian Zhu, Tianyu Zhang, Mingze Wang, Zhanpeng Zhou, Can Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On Universality of Deep Equivariant Networks
Marco Pacini, Mircea Petrache, Bruno Lepri, Shubhendu Trivedi, Robin Walters
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On learning linear dynamical systems in context with attention layers
Maria-Luiza Vlǎdǎrean, Xuhui Zhang, Suvrit Sra
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the $O(1/T)$ Convergence of Alternating Gradient Descent–Ascent in Bilinear Games
Tianlong Nan, Shuvomoy Das Gupta, Garud Iyengar, Christian Kroer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Alignment Between Supervised and Self-Supervised Contrastive Learning
Achleshwar Luthra, Priyadarsi Mishra, Tomer Galanti
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Bayes Inconsistency of Disagreement Discrepancy Surrogates
Neil Marchant, Andrew Cullen, Feng Liu, Sarah Erfani
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Benefits of Weight Normalization for Overparameterized Matrix Sensing
Yudong Wei, Liang Zhang, Bingcong Li, Niao He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Computational Limits of AI4S-RL : A Unified $\varepsilon$-$N$ Analysis
Qili Shen, Kairui Feng, Ang He, Xuanhong Chen, Dake Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Convergence Behavior of Preconditioned Gradient Descent Toward the Rich Learning Regime
Shuai Jiang, Eric Cyr, Ben Southworth, Alexey Voronin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Convergence Direction of Gradient Descent
Shuo Chen, Xiaolong Li, Jiaying Peng, Yao Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Convergence of Two-Layer Kolmogorov-Arnold Networks with First-Layer Training
Seyed Mohammad Eshtehardian, Mohammad Hossein Yassaee, Babak HosseinKhalaj
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Design of KL-Regularized Policy Gradient Algorithms for LLM Reasoning
Yifan Zhang, Yifeng Liu, Rina Hughes, Yang Yuan, Quanquan Gu, Andrew Yao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Design of One-step Diffusion via Shortcutting Flow Paths
Haitao Lin, Peiyan Hu, Minsi Ren, Zhifeng Gao, Zhi-Ming Ma, Guolin Ke, Tailin Wu, Stan Z Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Eligibility of LLMs for Counterfactual Reasoning: A Decompositional Study
Shuai Yang, Qi Yang, Luoxi Tang, Yuqiao Meng, Nancy Guo, Jeremy Blackburn, Zhaohan Xi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Expressive Power of GNNs for Boolean Satisfiability
Saku Peltonen, Roger Wattenhofer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Expressiveness of State Space Models via Temporal Logics
Eric Alsmann, Lowejatan Noori, Martin Lange
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Generalization Capacities of MLLMs for Spatial Intelligence
Gongjie Zhang, Wenhao Li, Quanhao Qian, Jiuniu Wang, Deli Zhao, Shijian Lu, Ran Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification
Yongliang Wu, Yizhou Zhou, Ziheng Zhou, Yingzhe Peng, Xinyu Ye, Xinting Hu, Wenbo Zhu, Lu Qi, Ming-Hsuan Yang, xu yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Impact of the Utility in Semivalue-based Data Valuation
Mélissa Tamine, Benjamin Heymann, Maxime Vono, Patrick Loiseau
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Impossibility of Separating Intelligence from Judgment: The Computational Intractability of Filtering for AI Alignment
Sarah Ball, Greg Gluch, Shafi Goldwasser, Frauke Kreuter, Omer Reingold, Guy Rothblum
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Interaction of Compressibility and Adversarial Robustness
Melih Barsbey, Antônio Ribeiro, Umut Simsekli, Tolga Birdal
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Interpolation Effect of Score Smoothing in Diffusion Models
Zhengdao Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Limits of Sparse Autoencoders: A Theoretical Framework and Reweighted Remedy
Jingyi Cui, Qi Zhang, Yifei Wang, Yisen Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Lipschitz Continuity of Set Aggregation Functions and Neural Networks for Sets
Giannis Nikolentzos, Konstantinos Skianis
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Mechanisms of Collaborative Learning in VAE Recommenders
Long Vuong, Julien Monteil, Hien Dang, Volodymyr Vaskovych, Trung Le, Vu Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Predictive Power of Representation Dispersion in Language Models
Yanhong Li, Ming Li, Karen Livescu, Jiawei Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Reasoning Abilities of Masked Diffusion Language Models
Anej Svete, Ashish Sabharwal
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Shelf Life of Fine-Tuned LLM-Judges: Future-Proofing, Backward-Compatibility, and Question Generalization
Janvijay Singh, Austin Xu, Yilun Zhou, Yefan Zhou, Dilek Hakkani-Tür, Shafiq Joty
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Spectral Differences Between NTK and CNTK and Their Implications for Point Cloud Recognition
yuanqu Mou, Chang Gou, Haiyang Bai, Jia Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Tension Between Optimality and Adversarial Robustness in Policy Optimization
Haoran Li, Jiayu Lv, Congying Han, Zicheng Zhang, Anqi Li, Yan Liu, Tiande Guo, Nan Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Theoretical Limitations of Embedding-Based Retrieval
Orion Weller, Michael Boratko, Iftekhar Naim, Jinhyuk Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Thinking-Language Modeling Gap in Large Language Models
Chenxi Liu, Yongqiang Chen, Tongliang Liu, James Cheng, Bo Han, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Universality and Complexity of GNN for Solving Second-order Cone Programs
Ruizhe Li, Enming Liang, Minghua Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Wasserstein Geodesic Principal Component Analysis of probability measures
Nina Vesseron, Elsa Cazelles, Alice Le Brigant, Klein Thierry
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the Wings of Imagination: Conflicting Script-based Multi-role Framework for Humor Caption Generation
Wenbo Shang, Yuxi Sun, Jing Ma, Xin Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the identifiability of causal graphs with multiple environments
Francesco Montagna
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On the trade-off between expressivity and privacy in graph representation learning
Patrick Indri, Tamara Drucks, Thomas Gärtner
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting
Wenhao Zhang, Yuexiang Xie, Yuchang Sun, Yanxi Chen, Guoyin Wang, Yaliang Li, Bolin Ding, Jingren Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
On-the-Fly Adaptation to Quantization: Configuration-Aware LoRA for Efficient Fine-Tuning of Quantized LLMs
Rongguang Ye, Ming Tang, Edith Ngai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Once-More: Continuous Self-Correction for Large Language Models via Perplexity-Guided Intervention
Jiaxun Gao, Him Wai (Michael) Ng, Z. Jane Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
One Demo Is All It Takes: Planning Domain Derivation with LLMs from A Single Demonstration
Jinbang Huang, Yixin Xiao, Zhanguang Zhang, Mark Coates, Jianye Hao, Yingxue Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
One Life to Learn: Inferring Symbolic World Models for Stochastic Environments from Unguided Exploration
Zaid Khan, Archiki Prasad, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
One Model for All Tasks: Leveraging Efficient World Models in Multi-Task Planning
Yuan Pu, Yazhe Niu, Jia Tang, Junyu Xiong, Shuai Hu, Hongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
One Patch Doesn’t Fit All: Adaptive Patching for Native-Resolution Multimodal Large Language Models
Wenzhuo Liu, Weijie Yin, Fei Zhu, Shijie Ma, Haiyang Guo, Yi Chen, Xiao-Hui Li, Xiao Liang, Chao Feng, Cheng-lin Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
One for Two: A Unified Framework for Imbalanced Graph Classification via Dynamic Balanced Prototype
Guanjun Wang, Binwu Wang, Jiaming Ma, Zhengyang Zhou, Pengkun Wang, Xu Wang, Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
One protein is all you need
Anton Bushuiev, Roman Bushuiev, Olga Pimenova, Nikola Zadorozhny, Raman Samusevich, Elisabet Manaskova, Rachel Seongeun Kim, Hannes Stärk, Jiri Sedlar, Martin Steinegger, Tomas Pluskal, Josef Sivic
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
One step further with Monte-Carlo sampler to guide diffusion better
Minsi Ren, Wenhao Deng, Ruiqi Feng, Tailin Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
One-Prompt Strikes Back: Sparse Mixture of Experts for Prompt-based Continual Learning
Minh Le, Bao-Ngoc Dao, Huy Nguyen, Quyen Tran, Anh Nguyen, Nhat Ho
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
One-Shot Exemplars for Class Grounding in Self-Supervised Learning
Haowen Cui, Shuo Chen, Jun Li, Jian Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
One-Step Flow Q-Learning: Addressing the Diffusion Policy Bottleneck in Offline Reinforcement Learning
Xuan Thanh Nguyen, Chang Yoo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs
Yuanzhi Zhu, Ruiqing Wang, Shilin Lu, Hanshu YAN, Junnan Li, Kai Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
One2Scene: Geometric Consistent Explorable 3D Scene Generation from a Single Image
Pengfei Wang, Liyi Chen, Zhiyuan Ma, Yanjun Guo, Guowen Zhang, Lei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OneTwoVLA: A Unified Vision-Language-Action Model with Adaptive Reasoning
Fanqi Lin, Ruiqian Nai, Yingdong Hu, Jiacheng You, Junming Zhao, Yang Gao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Online Black-Box Prompt Optimization with Regret Guarantees under Noisy Feedback
Jinjie Fang, Runwen You, Wanli Shi, Wenkang Wang, Ganyu Wang, Haozhen Zhang, Yi Chang, Bin Gu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Online Conformal Prediction with Adversarial Semi-bandit Feedback via Regret Minimization
Junyoung Yang, Kyungmin Kim, Sangdon Park
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Online Decision Making with Generative Action Sets
Jianyu Xu, Vidhi Jain, Bryan Wilder, Aarti Singh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Online Decision-Focused Learning
Aymeric Capitaine, Maxime Haddouche, Eric Moulines, Michael Jordan, Etienne Boursier, Alain Oliviero Durmus
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Online Inventory Optimization in Non-Stationary Environment
Koji Ichikawa, Kei Takemura, Tatsuya Matsuoka
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Online Learning and Equilibrium Computation with Ranking Feedback
Mingyang Liu, Yongshan Chen, Zhiyuan Fan, Gabriele Farina, Asuman Ozdaglar, Kaiqing Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Online Minimization of Polarization and Disagreement via Low-Rank Matrix Bandits
Federico Cinus, Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Online Navigation Refinement: Achieving Lane-Level Guidance by Associating Standard-Definition and Online Perception Maps
JIAXU WAN, Xu Wang, Mengwei Xie, Xinyuan Chang, Xinran Liu, Zheng Pan, Mu Xu, Hong Zhang, Ding Yuan, Yifan Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Online Prediction of Stochastic Sequences with High Probability Regret Bounds
Matthias Frey, Jonathan Manton, Jingge Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural Networks
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Dongsheng Li, Zhouchen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Online Rounding and Learning Augmented Algorithms for Facility Location
Silvio Lattanzi, Debmalya Panigrahi, Ola Svensson
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Online time series prediction using feature adjustment
Xiannan Huang, Shuhan Qiu, Jiayuan Du, Chao Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Only Brains Align with Brains: Cross-Region Alignment Patterns Expose Limits of Normative Models
Larissa Höfling, Matthias Tangemann, Lotta Piefke, Susanne Keller, Matthias Bethge, Katrin Franke
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Open Data Synthesis for Deep Research
Ziyi Xia, Kun Luo, Hongjin Qian, Siqi Bao, Zheng Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Open-Set Semantic Gaussian Splatting SLAM with Expandable Representation
Yan, Chen Liang, Wenguan Wang, Yi Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OpenAgentSafety: A Comprehensive Framework For Evaluating Real-World AI Agent Safety
Sanidhya Vijayvargiya, Aditya Soni, Xuhui Zhou, Zora Zhiruo Wang, Nouha Dziri, Graham Neubig, Maarten Sap
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OpenApps: Simulating Environment Variations to Measure UI Agent Reliability
Karen Ullrich, Jingtong Su, Claudia Shi, Arjun Subramonian, Amir Bar, Ivan Evtimov, Nikolaos Tsilivis, Randall Balestriero, Julia Kempe, Mark Ibrahim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OpenEstimate: Evaluating LLMs on Reasoning Under Uncertainty with Real-World Data
Alana Renda, Jillian Ross, Jacob Andreas
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OpenFly: A COMPREHENSIVE PLATFORM FOR AERIAL VISION-LANGUAGE NAVIGATION
Yunpeng Gao, Chenhui Li, Zhongrui You, Junli Liu, Li Zhen, Pengan CHEN, Qizhi Chen, Zhonghan Tang, Liansheng Wang, Yangpenghui, Yiwen Tang, Yuhang Tang, Shuai Liang, Songyi Zhu, Ziqin Xiong, Yifei Su, Xinyi Ye, Jianan Li, Yan Ding, Dong Wang, Zhigang Wang, Bin Zhao, Xuelong Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OpenPros: A Large-Scale Dataset for Limited View Prostate Ultrasound Computed Tomography
Hanchen Wang, Yixuan Wu, Yinan Feng, Peng Jin, Luoyuan Zhang, Shihang Feng, James Wiskin, Baris Turkbey, Peter Pinto, Bradford Wood, Songting Luo, Yinpeng Chen, Emad Boctor, Youzuo Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OpenThoughts: Data Recipes for Reasoning Models
Etash Guha, Ryan Marten, Sedrick Keh, Negin Raoof, Georgios Smyrnis, Hritik Bansal, Marianna Nezhurina, Jean Mercat, Trung Vu, Zayne Sprague, Ashima Suvarna, Benjamin Feuer, Leon Liangyu Chen, Zaid Khan, Eric Frankel, Sachin Grover, Caroline Choi, Niklas Muennighoff, Shiye Su, Wanjia Zhao, John Yang, Shreyas Pimpalgaonkar, Kartik sharma, Charlie Ji, Yichuan Deng, Sarah Pratt, Vivek Ramanujan, Jon Saad-Falcon, Stutee Acharya, Jeffrey Li, Achal Dave, Alon Albalak, Kushal Arora, Blake Wulfe, Chinmay Hegde, Greg Durrett, Sewoong Oh, Mohit Bansal, Saadia Gabriel, Aditya Grover, Kai-Wei Chang, Vaishaal Shankar, Aaron Gokaslan, Mike Merrill, Tatsunori Hashimoto, Yejin Choi, Jenia Jitsev, Reinhard Heckel, Maheswaran Sathiamoorthy, Alex Dimakis, Ludwig Schmidt
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Operationalizing Data Minimization for Privacy-Preserving LLM Prompting
Jijie Zhou, Niloofar Mireshghallah, Tianshi Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Operator Learning with Domain Decomposition for Geometry Generalization in PDE Solving
Jianing Huang, Kaixuan Zhang, Youjia Wu, Ze Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Operator Theory-Driven Autoformulation of MDPs for Control of Queueing Systems
Victor Baillet, Yuanzhang Xiao, Nicolás Astorga, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Opponent Shaping in LLM Agents
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Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OptMerge: Unifying Multimodal LLM Capabilities and Modalities via Model Merging
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Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OptimSyn: Influence-Guided Rubrics Optimization for Synthetic Data Generation
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Machine Learning
日本大学: 関与なし（対象大学）