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
From Conversation to Query Execution: Benchmarking User and Tool Interactions for EHR Database Agents
Gyubok Lee, Woosog Chay, Heeyoung Kwak, Yeong Kim, Haanju Yoo, Oksoon Jeong, Meong Hi Son, Edward Choi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Curiosity to Caution: Mitigating Reward Hacking for Best-of-$N$ with Pessimism
Zhuohao Yu, Steven Wu, Adam Block
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Data Statistics to Feature Geometry: How Correlations Shape Superposition
Lucas Prieto, Edward Stevinson, Melih Barsbey, Tolga Birdal, Pedro Mediano
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization
Haonian Ji, Shi Qiu, Siyang Xin, Siwei Han, Zhaorun Chen, Dake Zhang, Hongyi Wang, Huaxiu Yao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Embedding to Control: Representations for Stochastic Multi-Object Systems
Xiaoyuan Cheng, Yiming Yang, Wei Jiang, Chenyang Yuan, Zhuo Sun, Yukun Hu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Evaluation to Defense: Advancing Safety in Video Large Language Models
Yiwei Sun, Peiqi Jiang, Chuanbin Liu, Luohao Lin, Zhiying Lu, Hongtao Xie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Fields to Random Trees
Yaomin Wang, Xiaodong Luo, Tianshu Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Five Dimensions to Many: Large Language Models as Precise and Interpretable Psychological Profilers
Yi-Fei Liu, Yi-Long Lu, Di He, Hang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Gradient Volume to Shapley Fairness: Towards Fair Multi-Task Learning
Xiao Wang, Yuying Han, Dazi Li, Fei Zhang, Min Tang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Language to Locomotion: Retargeting-free Humanoid Control via Motion Latent Guidance
Zhe Li, Yangyang Wei, Boan Zhu, Yibo Peng, Tao Huang, Pengwei Wang, Zhongyuan Wang, Cheng Chi, Chang Xu, Shanghang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Large to Small: Transferring CUDA Optimization Expertise via Reasoning Graph
Junfeng Gong, Zhiyi Wei, Junying Chen, Cheng Liu, Huawei Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Markov to Laplace: How Mamba In-Context Learns Markov Chains
Marco Bondaschi, Nived Rajaraman, Xiuying Wei, Razvan Pascanu, Caglar Gulcehre, Michael Gastpar, Ashok Makkuva
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Medical Records to Diagnostic Dialogues: A Clinical-Grounded Approach and Dataset for Psychiatric Comorbidity
Tianxi Wan, Jiaming Luo, Siyuan Chen, Kunyao Lan, Jianhua Chen, Haiyang Geng, Mengyue Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Narrow to Panoramic Vision: Attention-Guided Cold-Start Reshapes Multimodal Reasoning
Ruilin Luo, Chufan Shi, Yizhen Zhang, Cheng Yang, Songtao Jiang, Tongkun Guan, Ruizhe Chen, Ruihang Chu, Peng Wang, Mingkun Yang, Lei Wang, Yujiu Yang, Junyang Lin, ZhiBo Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Natural Alignment to Conditional Controllability in Multimodal Dialogue
Zeyu Jin, Songtao Zhou, Haoyu Wang, Minghao Tian, Kaifeng Yun, Zhuo Chen, Xiaoyu Qin, Jia Jia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Neural Networks to Logical Theories: The Correspondence between Fibring Modal Logics and Fibring Neural Networks
Ouns El Harzli, Bernardo Grau, Artur Garcez, Ian Horrocks, Tarek R. Besold
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Observations to Events: Event-Aware World Models for Reinforcement Learning
Zhao-Han Peng, Shaohui Li, Zhi Li, Shulan Ruan, Yu LIU, You He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Parameters to Behaviors: Unsupervised Compression of the Policy Space
Davide Tenedini, Riccardo Zamboni, Mirco Mutti, Marcello Restelli
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Pixels to Semantics: Unified Facial Action Representation Learning for Micro-Expression Analysis
Yicheng Deng, Hideaki Hayashi, Hajime Nagahara
Machine Learning
日本大学: 大阪大学
2026 · ICLR
From Pixels to Words -- Towards Native Vision-Language Primitives at Scale
Haiwen Diao, Mingxuan Li, Silei Wu, Linjun Dai, Xiaohua Wang, Hanming Deng, Lewei Lu, Dahua Lin, Ziwei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Prediction to Perfection: Introducing Refinement to Autoregressive Image Generation
Cheng Cheng, Lin Song, Di An, Yicheng Xiao, Xuchong Zhang, Hongbin Sun, Ying Shan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Predictors to Samplers via the Training Trajectory
Soumya Ram, Akhila Ram
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Reproduction to Replication: Evaluating Research Agents with Progressive Code Masking
Gyeongwon J Kim, Alex Wilf, Louis-Philippe Morency, Daniel Fried
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Samples to Scenarios: A New Paradigm for Probabilistic Forecasting
Xilin Dai, Zhijian Xu, Wanxu Caii, Qiang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation
Yifu Yuan, Haiqin Cui, Yibin Chen, Zibin Dong, Fei Ni, Longxin Kou, Jinyi Liu, Pengyi Li, YAN ZHENG, Jianye Hao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Seeing to Experiencing: Scaling Navigation Foundation Models with Reinforcement Learning
Honglin He, Yukai Ma, Brad Squicciarini, Wayne Wu, Bolei Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Sequential to Parallel: Reformulating Dynamic Programming as GPU Kernels for Large-Scale Stochastic Combinatorial Optimization
Jingyi Zhao, Linxin Yang, Haohua Zhang, Qile He, Tian Ding
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Single to Multi-Granularity: Toward Long-Term Memory Association and Selection of Conversational Agents
Derong Xu, Yi Wen, Pengyue Jia, Yingyi Zhang, Wenlin Zhang, Yichao Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao, Enhong Chen, Tong Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Sorting Algorithms to Scalable Kernels: Bayesian Optimization in High-Dimensional Permutation Spaces
Zikai Xie, Linjiang Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Sparse to Dense: Spatio-Temporal Fusion for Multi-View 3D Human Pose Estimation with DenseWarper
Ling Li, Changjie Chen, Yuyan Wang, Jiaqing Lyu, Kenglun Chang, Yiyun Chen, Zhidong Deng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Spatial to Actions: Grounding Vision-Language-Action Model in Spatial Foundation Priors
Zhengshen Zhang, 昊李, Yalun Dai, Zhengbang Zhu, Lei Zhou, Chenchen Liu, Dong Wang, Francis Tay, Sijin Chen, Ziwei Liu, Yuxiao Liu, Xinghang Li, Pan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Static Benchmarks to Dynamic Protocol: Agent-Centric Text Anomaly Detection for Evaluating LLM Reasoning
Seungdong YOA, Sanghyu Yoon, Suhee Yoon, Dongmin Kim, YE SEUL SIM, Junhyun Lee, Woohyung Lim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Text to Talk: Audio-Language Model Needs Non-Autoregressive Joint Training
Tianqiao Liu, Xueyi Li, Hao Wang, Haoxuan Li, Zhichao Chen, Weiqi Luo, Zitao Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Ticks to Flows: Dynamics of Neural Reinforcement Learning in Continuous Environments
Saket Tiwari, Tejas Kotwal, George D Konidaris
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Tokens to Nodes: Semantic-Guided Motion Control for Dynamic 3D Gaussian Splatting
Jianing Chen, Zehao Li, Yujun Cai, Hao Jiang, Shuqin Gao, Honglong Zhao, Tianlu Mao, Yucheng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning
Chen Shani, Liron Soffer, Dan Jurafsky, Yann LeCun, Ravid Shwartz-Ziv
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Utterance to Vividity: Training Expressive Subtitle Translation LLM via Adaptive Local Preference Optimization
Chaoqun Cui, Shijing Wang, Liangbin Huang, Qingqing Gu, Zhaolong Huang, Xiao Zeng, Wenji Mao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Verifiable Dot to Reward Chain: Harnessing Verifiable Reference-based Rewards for Reinforcement Learning of Open-ended Generation
Yuxin Jiang, Yufei Wang, Qiyuan Zhang, Xingshan Zeng, Liangyou Li, Jierun Chen, Chaofan Tao, Haoli Bai, Lifeng Shang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Vicious to Virtuous Cycles: Synergistic Representation Learning for Unsupervised Video Object-Centric Learning
Hyun Seok Seong, WonJun Moon, Jae-Pil Heo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning
Cheng Yang, Jiaxuan Lu, Haiyuan Wan, Junchi Yu, Feiwei Qin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From ``Sure" to ``Sorry": Detecting Jailbreak in Large Vision Language Model via JailNeurons
Yuyou Gan, Qingming Li, Junhao Li, Zhi Chen, Jinbao Li, Xiaoming Li, Shouling Ji
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From atom to space: A region-based readout function for spatial properties of materials
Jiawen Zou, Weimin Tan, Zhongyao Wang, Hao Qi, Bo Yan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From f(x) and g(x) to f(g(x)): LLMs Learn New Skills in RL by Composing Old Ones
Lifan Yuan, Weize Chen, Yuchen Zhang, Ganqu Cui, Hanbin Wang, Ziming You, Ning Ding, Zhiyuan Liu, Maosong Sun, Hao Peng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From movement to cognitive maps: recurrent neural networks reveal how locomotor development shapes hippocampal spatial coding
Marco P Abrate, Laurenz Muessig, Joshua Bassett, Hui Tan, Francesca Cacucci, Thomas Wills, Caswell Barry
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Front-Loading Reasoning: The Synergy between Pretraining and Post-Training Data
Syeda Nahida Akter, Shrimai Prabhumoye, Eric Nyberg, Mostofa Patwary, Mohammad Shoeybi, Yejin Choi, Bryan Catanzaro
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FrontierCO: Real-World and Large-Scale Evaluation of Machine Learning Solvers for Combinatorial Optimization
Shengyu Feng, Weiwei Sun, Shanda Li, Ameet Talwalkar, Yiming Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Frozen Policy Iteration: Computationally Efficient RL under Linear $Q^{\pi}$ Realizability for Deterministic Dynamics
Yijing Ke, Zihan Zhang, Ruosong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Frozen Priors, Fluid Forecasts: Prequential Uncertainty for Low-Data Deployment with Pretrained Generative Models
Fernando Ruiz-Mazo, Vikas Garg
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FrugalRAG: Less is More in RL Finetuning for Multi-hop Question Answering
Abhinav Java, Srivathsan Koundinyan, Nagarajan Natarajan, Amit Sharma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks
Xinxi Lyu, Michael Duan, Rulin Shao, Pang Wei Koh, Sewon Min
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Full-Graph vs. Mini-Batch Training: Comprehensive Analysis from a Batch Size and Fan-Out Size Perspective
Mengfan liu, Da Zheng, Junwei Su, Chuan Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FullPart: Generating each 3D Part at Full Resolution
Lihe Ding, Shaocong Dong, Yaokun Li, Chenjian Gao, Xiao Chen, Rui Han, Yihao Kuang, Hong Zhang, Bo Huang, Zhanpeng Huang, Zibin Wang, Dan Xu, Tianfan Xue
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Function Induction and Task Generalization: An Interpretability Study with Off-by-One Addition
Qinyuan Ye, Robin Jia, Xiang Ren
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Functional MRI Time Series Generation via Wavelet-Based Image Transform and Spectral Flow Matching for Brain Disorder Identification
Hwa Hui Tew, Junn Yong Loo, Leong Yu, Julia Lau, Ding Fan, Hernando Ombao, Raphaël Phan, Chee Tan, Chee-Ming Ting
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fused-Planes: Why Train a Thousand Tri-Planes When You Can Share?
Karim Kassab, Antoine Schnepf, Jean-Yves Franceschi, Laurent Caraffa, Flavian Vasile, Jeremie Mary, Andrew Comport, Valerie Gouet-Brunet
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fusing Pixels and Genes: Spatially-Aware Learning in Computational Pathology
Minghao Han, Dingkang Yang, Linhao Qu, Zizhi Chen, Gang Li, Han Wang, Jiacong Wang, Lihua Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FutureFill: Fast Generation from Convolutional Sequence Models
Naman Agarwal, Xinyi Chen, Evan Dogariu, Devan Shah, Hubert Strauss, Vladimir Feinberg, Daniel Suo, Peter Bartlett, Elad Hazan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FutureMind: Equipping Small Language Models with Strategic Thinking-Pattern Priors via Adaptive Knowledge Distillation
Shaoxiong Yang, Junting Li, Mengyuan Zhang, Chao Li, WEI LIU, Jian Luan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction
zhiyuan zeng, Jiashuo Liu, Siyuan Chen, Tianci He, Yali Liao, Yixiao Tian, Jinpeng Wang, Zaiyuan Wang, YangYang, Lingyue Yin, Mingren Yin, Zhu Zhenwei, Tianle Cai, Xinjie Chen, Zehui Chen, Jiecao Chen, Yantao Du, Xiang Gao, Jiacheng Guo, LIANG HU, Jianpeng Jiao, Xiangsheng Li, Jingkai Liu, nishuang, Zhoufutu Wen, Ge Zhang, Kaiyuan Zhang, 周欣, Jose Blanchet, Xipeng Qiu, Mengdi Wang, Wenhao Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
G-Merging: Graph Models Merging for Parameter-Efficient Multi-Task Knowledge Consolidation
Jun Chen, Ziyue Qiao, Qin Zhang, Kaize Ding, Xiao Luo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
G-reasoner: Foundation Models for Unified Reasoning over Graph-structured Knowledge
Linhao Luo, Zicheng Zhao, Junnan Liu, Zhangchi Qiu, Junnan Dong, Serge Panev, Chen Gong, Thuy-Trang Vu, Gholamreza Haffari, Dinh Phung, Alan Liew, Shirui Pan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
G4Splat: Geometry-Guided Gaussian Splatting with Generative Prior
Junfeng Ni, Yixin Chen, Zhifei Yang, Yu Liu, Ruijie Lu, Song-Chun Zhu, Siyuan Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GAGA: Gaussianity-Aware Gaussian Approximation for Efficient 3D Molecular Generation
Jingxiang Qu, Wenhan Gao, Ruichen Xu, Yi Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GALAX: Graph-Augmented Language Model for Explainable Reinforcement-Guided Subgraph Reasoning in Precision Medicine
Heming Zhang, Di Huang, Wenyu Li, Michael Province, Yixin Chen, Philip Payne, Fuhai Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GAPrune: Gradient-Alignment Pruning for Domain-Aware Embeddings
Yixuan Tang, Yi Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GAR: Generative Adversarial Reinforcement Learning for Formal Theorem Proving
Ruida WANG, Jiarui Yao, Rui Pan, Shizhe Diao, Tong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GARLIC: Graph Attention-based Relational Learning of Multivariate Time Series in Intensive Care
Ruirui Wang, Yanke Li, Manuel Günther, Diego Paez-Granados
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GAS: Enhancing Reward-Cost Balance of Generative Model-assisted Offline Safe RL
Zifan LIU, Xinran Li, Shibo Chen, Jun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GAS: Improving Discretization of Diffusion ODEs via Generalized Adversarial Solver
Aleksandr Oganov, Ilya Bykov, Eva Neudachina, Mishan Aliev, Alexander Tolmachev, Alexander Sidorov, Zuev Aleksandr, Andrei Okhotin, Denis Rakitin, Aibek Alanov
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GAVEL: Towards Rule-Based Safety through Activation Monitoring
Shir Rozenfeld, Rahul Pankajakshan, Itay Zloczower, Eyal Lenga, Gilad Gressel, Yisroel Mirsky
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables
Zhengyu Li, Xiangfei Qiu, Yuhan Zhu, Xingjian Wu, Jilin Hu, Guo, Bin Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GDGB: A Benchmark for Generative Dynamic Text-Attributed Graph Learning
Jie Peng, Jiarui Ji, Runlin Lei, Zhewei Wei, Yongchao Liu, Chuntao Hong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks
Tejal Patwardhan, Rachel Dias, Elizabeth Proehl, Grace Kim, Michele Wang, Olivia Watkins, Simon Fishman, Marwan Aljubeh, Phoebe Thacker, Laurance Fauconnet, Natalie Kim, Samuel Miserendino, Gildas Chabot, David Li, Patrick Chao, Michael Sharman, Alexandra Barr, Amelia Glaese, Jerry Tworek
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GDR-learners: Orthogonal Learning of Generative Models for Potential Outcomes
Valentyn Melnychuk, Stefan Feuerriegel
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GEM: A Gym for Generalist LLMs
Zichen Liu, Anya Sims, Keyu Duan, Changyu Chen, Simon Yu, Xiangxin Zhou, Haotian Xu, Shaopan Xiong, Bo Liu, Chenmien Tan, Weixun Wang, Hao Zhu, Weiyan Shi, Diyi Yang, Michael Qizhe Shieh, Yee Whye Teh, Wee Sun Lee, Min Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
Lakshya A Agrawal, Shangyin Tan, Dilara Soylu, Noah Ziems, Rishi Khare, Krista Opsahl-Ong, Arnav Singhvi, Herumb Shandilya, Michael J Ryan, Meng Jiang, Christopher Potts, Koushik Sen, Alex Dimakis, Ion Stoica, Dan Klein, Matei Zaharia, Omar Khattab
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GEPO: Group Expectation Policy Optimization for Stable Heterogeneous Reinforcement Learning
Han Zhang, Ruibin Zheng, ZEXUAN YI, Zhuo Zhang, Hanyang Peng, HUI WANG, Jiayin Qi, Binxing Fang, Ruifeng Xu, Yue Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GGBall: Graph Generative Model on Poincaré Ball
Tianci Bu, Chuanrui Wang, Hao Ma, Haoren Zheng, Xin Lu, Tailin Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GHOST: Hallucination-Inducing Image Generation for Multimodal LLMs
Aryan Yazdan Parast, Parsa Hosseini, Hesam Asadollahzadeh, Arshia Soltani Moakhar, Basim Azam, Soheil Feizi, NAVEED AKHTAR
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GIQ: Benchmarking 3D Geometric Reasoning of Vision Foundation Models with Simulated and Real Polyhedra
Mateusz Michalkiewicz, Anekha Sokhal, Tadeusz Michalkiewicz, Piotr Pawlikowski, Mahsa Baktashmotlagh, Varun Jampani, Guha Balakrishnan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GIR-Bench: Versatile Benchmark for Generating Images with Reasoning
Hongxiang Li, Yaowei Li, Bin Lin, Yuwei Niu, Yuhang Yang, Xiaoshuang Huang, Jiayin Cai, Xiaolong Jiang, Yao Hu, Long Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GIT-BO: High-Dimensional Bayesian Optimization with Tabular Foundation Models
Rosen Yu, Cyril Picard, Faez Ahmed
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GLASS Flows: Efficient Inference for Reward Alignment of Flow and Diffusion Models
Peter Holderrieth, Uriel Singer, Tommi Jaakkola, Ricky T. Q. Chen, Yaron Lipman, Brian Karrer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GNN Explanations that do not Explain and How to find Them
Steve Azzolin, Stefano Teso, Bruno Lepri, Andrea Passerini, Sagar Malhotra
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback
Ruiyao Xu, Kaize Ding
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GOLDILOCS: GENERAL OBJECT-LEVEL DETECTION AND LABELING OF CHANGES IN SCENES
Almog Friedlander, Ariel Shamir, Ohad Fried
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GOOD: Geometry-guided Out-of-Distribution Modeling for Open-set Test-time Adaptation in Point Cloud Semantic Segmentation
Tianpei Zou, Guo Yu, Ya Wu, Fan Lu, Eric Zhongcong Xu, Zhang Bo, Ziqiao Wang, Sanqing Qu, Guang Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GOT-Edit: Geometry-Aware Generic Object Tracking via Online Model Editing
Shih-Fang Chen, Jun-Cheng Chen, I-Hong Jhuo, Yen-Yu Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GPG: A Simple and Strong Reinforcement Learning Baseline for Model Reasoning
Xiangxiang Chu, Hailang Huang, Xiao Zhang, Fei Wei, Yong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GPS: Graph-guided Proactive Information Seeking in Large Language Models
Ruiqing Li, Yifeng Xu, Xinke Jiang, Zhibang Yang, Xinyu Ma, Yue Fang, Junfeng Zhao, Yasha Wang, Xu Chu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GPT4Scene: Understand 3D Scenes from Videos with Vision-Language Models
Zhangyang Qi, Zhixiong Zhang, Ye Fang, Jiaqi Wang, Hengshuang Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching
Guinan Su, Li Shen, Lu Yin, Shiwei Liu, Yanwu Yang, Jonas Geiping
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GRACE: A Language Model Framework for Explainable Inverse Reinforcement Learning
Silvia Sapora, R Devon Hjelm, Omar Attia, Alexander Toshev, Bogdan Mazoure
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GRACE: Generative Representation Learning via Contrastive Policy Optimization
Jiashuo Sun, Shixuan Liu, Zhaochen Su, Xianrui Zhong, Pengcheng Jiang, Bowen Jin, Peiran Li, Weijia Shi, Jiawei Han
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GRADIEND: Feature Learning within Neural Networks Exemplified through Biases
Jonathan Drechsel, Steffen Herbold
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GRAM-DTI: Adaptive Multimodal Representation Learning for Drug–Target Interaction Prediction
Feng Jiang, Maolaaisha Aminanmu, Hehuan Ma, Yuzhi Guo, Tommaso Mansi, Junzhou Huang, Mangal Prakash, Rui Liao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GRL-SNAM: Geometric Reinforcement Learning with Differential Hamiltonians for Navigation and Mapping in Unknown Environments
Aditya Ellendula, Yi Wang, Minh Nguyen, Chandrajit Bajaj
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GRO-RAG: Gradient-aware Re-rank Optimization for Multi-source Retrieval-Augmented Generation
Siyuan Chen, Hang Ding, Xiaoyu Kang, Jiechao Gao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GT-Space: Enhancing Heterogeneous Collaborative Perception with Ground Truth Feature Space
Wentao Wang, Haoran Xu, Guang Tan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GTA1: GUI Test-time Scaling Agent
Yan Yang, Dongxu Li, Yutong Dai, Yuhao Yang, Ziyang Luo, Zirui Zhao, Zhiyuan Hu, Junzhe Huang, Amrita Saha, Zeyuan Chen, Ran Xu, Liyuan Pan, Caiming Xiong, Junnan Li
Machine Learning
日本大学: 関与なし（対象大学）