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
Information Estimation with Discrete Diffusion
Alberto Foresti, Giulio Franzese, Pietro Michiardi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Information Gain-based Policy Optimization: A Simple and Effective Approach for Multi-Turn Search Agents
Guoqing Wang, Sunhao Dai, Guangze Ye, Zeyu Gan, Wei Yao, Yong Deng, Xiaofeng Wu, zhenzhe ying
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Information Shapes Koopman Representation
Xiaoyuan Cheng, Wenxuan Yuan, Yiming Yang, Yuanzhao Zhang, Sibo Cheng, Yi He, Zhuo Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Information-Theoretic Membership Inference for Granular Quantification of Memorization
Jiashu Tao, Reza Shokri
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Information-based Value Iteration Networks for Decision Making Under Uncertainty
Cynthia Chen, Samantha Johnson, Cindy Poo, Michael Buice, Koosha Khalvati
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models
Yuchen Yan, Yongliang Shen, Yang Liu, Jin Jiang, Mengdi Zhang, Jian Shao, Yueting Zhuang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Inheriting Generalizable Knowledge from LLMs to Diverse Vertical Tasks
Chang Liu, boyu shi, xu yang, Qiufeng Wang, Xin Geng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Initialization Schemes for Kolmogorov–Arnold Networks: An Empirical Study
Spyros Rigas, Dhruv Verma, Georgios Alexandridis, Yixuan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Inlier-Centric Post-Training Quantization for Object Detection Models
Minsu Kim, Dongyeun Lee, Jaemyung Yu, jiwan hur, Giseop Kim, Junmo Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
InnoGym: Benchmarking the Innovation Potential of AI Agents
Jintian Zhang, Kewei Xu, Jingsheng Zheng, Zhuoyun Yu, Yuqi Zhu, Yujie Luo, Lanning Wei, Shuofei Qiao, Lun Du, Da Zheng, Shumin Deng, Huajun Chen, Ningyu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
InnovatorBench: Evaluating Agents’ Ability to Conduct Innovative AI Research
Yunze Wu, Dayuan Fu, Weiye Si, Zhen Huang, Mohan Jiang, Keyu Li, Shijie Xia, Jie Sun, Tianze Xu, Yang Xiao, Pengrui Lu, Xiaojie Cai, Lyumanshan Ye, Wenhong Zhu, Xiangkun Hu, Pengfei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Inoculation Prompting: Eliciting traits from LLMs during training can reduce trait expression at test-time
Daniel Tan, Anders Woodruff, Niels Warncke, Arun Jose, Maxime Riché, David Demitri Africa, Mia Taylor
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Inpainting-Guided Policy Optimization for Diffusion Large Language Models
Siyan Zhao, Mengchen Liu, Jing Huang, Miao Liu, Chenyu Wang, Bo Liu, Yuandong Tian, Guan Pang, Sean Bell, Aditya Grover, Feiyu Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
InputDSA: Demixing, then comparing recurrent and externally driven dynamics
Ann Huang, Mitchell Ostrow, Satpreet H Singh, Leo Kozachkov, Ila Fiete, Kanaka Rajan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Instance-Dependent Fixed-Budget Pure Exploration in Reinforcement Learning
Yeongjong Kim, Yeoneung Kim, Kwang-Sung Jun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Instance-wise Adaptive Scheduling via Derivative-Free Meta-Learning
Hefang Qing, Miao Zhang, Yaoxin Wu, Weinan Huang, Jianhao Yang, Wen Song, Gang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Instilling an Active Mind in Avatars via Cognitive Simulation
Jianwen Jiang, Weihong Zeng, Zerong Zheng, Jiaqi Yang, Chao Liang, Wang Liao, Han Liang, Weifeng Chen, XING WANG, Yuan Zhang, Mingyuan Gao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Intention-Conditioned Flow Occupancy Models
Chongyi Zheng, Seohong Park, Sergey Levine, Benjamin Eysenbach
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Inter-Agent Relative Representations for Multi-Agent Option Discovery
Raul Steleac, Mohan Sridharan, David Abel
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
InterActHuman: Multi-Concept Human Animation with Layout-Aligned Audio Conditions
Zhenzhi Wang, Jiaqi Yang, Jianwen Jiang, Chao Liang, Gaojie Lin, Zerong Zheng, Ceyuan Yang, Yuan Zhang, Mingyuan Gao, Dahua Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Interact-RAG: Reason and Interact with the Corpus, Beyond Black-Box Retrieval
Yulong Hui, Chao Chen, Zhihang Fu, Yihao Liu, Jieping Ye, Huanchen Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Interaction Field Matching: Overcoming Limitations of Electrostatic Models
S. Manukhov, Alexander Kolesov, Vladimir V. Palyulin, Aleksandr Korotin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Interaction-aware Representation Modeling With Co-Occurrence Consistency for Egocentric Hand-Object Parsing
Yuejiao Su, Yi Wang, Lei Yao, Yawen Cui, Lap-Pui Chau
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Interactive Learning of Single-Index Models via Stochastic Gradient Descent
Nived Rajaraman, Yanjun Han
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Interference-Isolated Elastic Weight Consolidation and Knowledge Calibration for Incremental Object Detection
De Cheng, Mingyue Zeng, Zhipeng Xu, Di Xu, Nannan Wang, Xinbo Gao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Interleave-VLA: Enhancing Robot Manipulation with Image-Text Interleaved Instructions
Cunxin Fan, Xiaosong Jia, Yihang Sun, Yixiao Wang, Jianglan Wei, Ziyang Gong, Xiangyu Zhao, Masayoshi Tomizuka, Xue Yang, Junchi Yan, Mingyu Ding
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Interleaving Reasoning for Better Text-to-Image Generation
Wenxuan Huang, Shuang Chen, Zheyong Xie, Shaosheng Cao, SHIXIANG TANG, Yufan Shen, Qingyu Yin, Wenbo Hu, Xiaoman Wang, Yuntian Tang, Junbo Qiao, Hangyu Guo, Yao Hu, Zhenfei Yin, Philip Torr, Yu Cheng, Wanli Ouyang, Shaohui Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
InternSVG: Towards Unified SVG Tasks with Multimodal Large Language Models
Haomin Wang, Jinhui Yin, Qi Wei, Wenguang Zeng, Lixin Gu, Shenglong Ye, Zhangwei Gao, Yaohui Wang, Yanting Zhang, Yuanqi Li, Yanwen Guo, Wenhai Wang, Kai Chen, Yu Qiao, Hongjie Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
InternSpatial: A Comprehensive Dataset for Spatial Reasoning in Vision-Language Models
Nianchen Deng, Lixin Gu, Shenglong Ye, Yinan He, Zhe Chen, Songze Li, Haomin Wang, Jinhui Yin, Qi Wei, Tianshuo Yang, Min Dou, Tong He, Wenqi Shao, Kaipeng Zhang, Yi Wang, Botian Shi, Yanting Zhang, Jifeng Dai, Yu Qiao, Wenhai Wang, Hongjie Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Internal Evaluation of Density-Based Clusterings with Noise
Anna Beer, Lena Krieger, Pascal Weber, Martin Ritzert, Ira Assent, Claudia Plant
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Internal Planning in Language Models: Characterizing Horizon and Branch Awareness
Muhammed Ustaomeroglu, Baris Askin, Gauri Joshi, Carlee Joe-Wong, Guannan Qu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Interp3D: Correspondence-aware Interpolation for Generative Textured 3D Morphing
Xiaolu Liu, Yicong Li, Qiyuan He, Jiayin Zhu, Wei Ji, Angela Yao, Jianke Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Interpolation-Based Conditioning of Flow Matching Models for Bioisosteric Ligand Design
Yael Ziv, Martin Buttenschoen, Lukas Scheibelberger, Brian Marsden, Charlotte Deane
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Interpretable 3D Neural Object Volumes for Robust Conceptual Reasoning
Nhi Pham, Artur Jesslen, Bernt Schiele, Adam Kortylewski, Jonas Fischer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry
Thomas Fel, Binxu Wang, Michael Lepori, Matthew Kowal, Andrew Lee, Randall Balestriero, Sonia Joseph, Ekdeep Singh Lubana, Talia Konkle, Demba Ba, Martin Wattenberg
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Intrinsic Entropy of Context Length Scaling in LLMs
Jingzhe Shi, Qinwei (Martin) Ma, Hongyi Liu, Hang Zhao, Jenq-Neng Hwang, Lei Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Intrinsic Lorentz Neural Network
Xianglong Shi, Ziheng Chen, Yunhan Jiang, Nicu Sebe
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Intrinsic training dynamics of deep neural networks
Sibylle Marcotte, Gabriel Peyré, Rémi Gribonval
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Inverse IFEval: Can LLMs Unlearn Stubborn Training Conventions to Follow Real Instructions?
Qinyan Zhang, Xinping Lei, Ruijie Miao, FU YU, Haojie Fan, Le Chang, Jiafan Hou, Dingling Zhang, Zhongfei Hou, ZiqiangYang, puchangxin, FEI HU, Jingkai Liu, JIAHENG LIU, Tong Yang, Zaiyuan Wang, Ge Zhang, Xinjie Chen, Jianpeng Jiao, Wenhao Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Inverse Reinforcement Learning with Dynamic Reward Scaling for LLM Alignment
Ruoxi Cheng, Hao-Xuan Ma, Weixin Wang, Ranjie Duan, Jiexi Liu, Xiaoshuang Jia, Simeng Qin, Xiaochun Cao, Yang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Inverse Virtual Try-On: Generating Multi-Category Product-Style Images from Clothed Individuals
Davide Lobba, Fulvio Sanguigni, Bin Ren, Marcella Cornia, Rita Cucchiara, Nicu Sebe
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Invert4TVG: A Temporal Video Grounding Framework with Inversion Tasks Preserving Action Understanding Ability
Zhaoyu Chen, hongnan lin, Yongwei Nie, Fei Ma, Xuemiao Xu, Fei Yu, Chengjiang Long
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Investigating Redundancy in Multimodal Large Language Models with Multiple Vision Encoders
Yizhou WANG, Song Mao, Yang Chen, Yufan Shen, Pinlong Cai, Ding Wang, Guohang Yan, Zhi Yu, Yinqiao Yan, Xuming Hu, Botian Shi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Invisible Safety Threat: Malicious Finetuning for LLM via Steganography
Guangnian Wan, Xinyin Ma, Gongfan Fang, Xinchao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Is Finer Better? The Limits of Microscaling Formats in Large Language Models
Andrea Fasoli, Monodeep Kar, Chi-Chun Liu, Swagath Venkataramani, Viji Srinivasan, Leland Chang, Naigang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Is Graph Unlearning Ready for Practice? A Benchmark on Efficiency, Utility, and Forgetting
Samyak Jain, Ronak Kalvani, sainyam galhotra, Sayan Ranu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Is In-Context Learning Learning?
Adrian de Wynter
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Is On-Policy Data always the Best Choice for Direct Preference Optimization-Based LM Alignment?
Zetian Sun, dongfang li, Xuhui Chen, Baotian Hu, Min Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Is Pure Exploitation Sufficient in Exogenous MDPs with Linear Function Approximation?
Hao Liang, Jiayu Cheng, Sean Sinclair, Yali Du
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Is This Just Fantasy? Language Model Representations Reflect Human Judgments of Event Plausibility
Michael Lepori, Jennifer Hu, Ishita Dasgupta, Roma Patel, Thomas Serre, Ellie Pavlick
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Is Your Paper Being Reviewed by an LLM? Benchmarking AI Text Detection in Peer Review
Sungduk Yu, Man Luo, Avinash Madasu, Vasudev Lal, Phillip Howard
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Is it Thinking or Cheating? Detecting Implicit Reward Hacking by Measuring Reasoning Effort
Xinpeng Wang, Nitish Joshi, Barbara Plank, Rico Angell, He He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Is the Reversal Curse a Binding Problem? Uncovering Limitations of Transformers from a Basic Generalization Failure
Boshi Wang, Huan Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization
Ali Behrouz, Meisam Razaviyayn, Peilin Zhong, Vahab Mirrokni
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
It's All Just Vectorization: einx, a Universal Notation for Tensor Operations
Florian Fervers, Sebastian Bullinger, Christoph Bodensteiner, Michael Arens
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
IterResearch: Rethinking Long-Horizon Agents with Interaction Scaling
Guoxin Chen, Zile Qiao, Xuanzhong Chen, Donglei Yu, Haotian Xu, Xin Zhao, Ruihua Song, Wenbiao Yin, Huifeng Yin, Liwen Zhang, Kuan Li, Minpeng Liao, Yong Jiang, Pengjun Xie, Fei Huang, Jingren Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design
Xingyu Su, Xiner Li, Masatoshi Uehara, Sunwoo Kim, Yulai Zhao, Gabriele Scalia, Ehsan Hajiramezanali, Tommaso Biancalani, Degui Zhi, Shuiwang Ji
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Iterative Training of Physics-Informed Neural Networks with Fourier-enhanced Features
yulun wu, Miguel Aguiar, Karl H. Johansson, Matthieu Barreau
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning
Chenxi Whitehouse, Tianlu Wang, Ping Yu, Xian Li, Jason E Weston, Ilia Kulikov, Swarnadeep Saha
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language Models
Zifan Peng, Yule Liu, Zhen Sun, Mingchen Li, Zeren Luo, Jingyi Zheng, Wenhan Dong, Xinlei He, Xuechao Wang, Yingjie Xue, Shengmin Xu, Xinyi Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
JAPAN: Joint Adaptive Prediction Areas with Normalising Flow
Eshant English, Christoph Lippert
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
JUDO: A Juxtaposed Domain-Oriented Multimodal Reasoner for Industrial Anomaly QA
Hyunju Kang, Woohyun Lee, Jaewon Kim, Hogun Park
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
JULI: Jailbreak Large Language Models by Self-Introspection
Zhixian Wang, Zhanhao Hu, David Wagner
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Jackpot: Align Actor-Policy Distribution for scalable and stable RL for LLM
Zhuoming Chen, Hongyi Liu, Yang Zhou, Haizhong Zheng, Beidi Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Jacobian Aligned Random Forests
Sarwesh Rauniyar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
JailNewsBench: Multi-Lingual and Regional Benchmark for Fake News Generation under Jailbreak Attacks
Masahiro Kaneko, Ayana Niwa, Timothy Baldwin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Jailbreak Transferability Emerges from Shared Representations
Rico Angell, Jannik Brinkmann, He He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
JailbreakLoRA: Your Downloaded LoRA from Sharing Platforms might be Unsafe
Fanjunduo Wei, Zhenheng Tang, Rongfei Zeng, Tongliang Liu, Chengqi Zhang, Xiaowen Chu, Bo Han
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Jailbreaking on Text-to-Video Models via Scene Splitting Strategy
Wonjun Lee, Haon Park, Doehyeon Lee, Bumsub Ham, Suhyun Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Jailbreaking the Matrix: Nullspace Steering for Controlled Model Subversion
Vishal Pramanik, Maisha Maliha, Susmit Jha, Sumit Jha
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
JanusCoder: Towards a Foundational Visual-Programmatic Interface for Code Intelligence
Qiushi Sun, Jingyang Gong, Yang Liu, Qiaosheng Chen, Lei Li, Kai Chen, Qipeng Guo, Ben Kao, Fei Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
JanusVLN: Decoupling Semantics and Spatiality with Dual Implicit Memory for Vision-Language Navigation
Shuang Zeng, Dekang Qi, Xinyuan Chang, Feng Xiong, Shichao Xie, Xiaolong Wu, Shiyi Liang, Mu Xu, Xing Wei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
JavisDiT++: Unified Modeling and Optimization for Joint Audio-Video Generation
Kai Liu, Yanhao Zheng, Kai Wang, Shengqiong Wu, Rongjunchen Zhang, Jiebo Luo, Dimitrios Hatzinakos, Ziwei Liu, Hao (Scofield) Fei, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
JavisDiT: Joint Audio-Video Diffusion Transformer with Hierarchical Spatio-Temporal Prior Synchronization
Kai Liu, Wei Li, Lai Chen, Shengqiong Wu, Yanhao Zheng, Jiayi Ji, Fan Zhou, Jiebo Luo, Ziwei Liu, Hao (Scofield) Fei, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Johnson-Lindenstrauss Lemma Guided Network for Efficient 3D Medical Segmentation
Jinpeng Lu, Linghan Cai, Yinda Chen, Guo Tang, Songhan Jiang, Haoyuan Shi, Zhiwei Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Joint Adaptation of Uni-modal Foundation Models for Multi-modal Alzheimer's Disease Diagnosis
Wentao Gu, Yuquan Li, Xinyang Jiang, Zilong Wang, Dongsheng Li, Zehui Li, Zijian Dong, Cai Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Joint Distillation for Fast Likelihood Evaluation and Sampling in Flow-based Models
Xinyue Ai, Yutong (Kelly) He, Albert Gu, Russ Salakhutdinov, Zico Kolter, Nicholas Boffi, Max Simchowitz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Joint Distribution–Informed Shapley Values for Sparse Counterfactual Explanations
Lei You, Yijun Bian, Lele Cao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Joint Optimization for 4D Human-Scene Reconstruction in the Wild
Zhizheng Liu, Joe Lin, Wayne Wu, Bolei Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Joint Selection for Large-Scale Pre-Training Data via Policy Gradient-based Mask Learning
Ziqing Fan, Yuqiao Xian, Yan Sun, Ke Shen, Li Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Joint Shadow Generation and Relighting via Light-Geometry Interaction Maps
Shan Wang, Peixia Li, Chenchen Xu, Ziang Cheng, Jiayu Yang, Hongdong Li, Pulak Purkait
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
JointAVBench: A Benchmark for Joint Audio-Visual Reasoning Evaluation
Jianghan Chao, jianzhang gao, Wenhui Tan, Yuchong Sun, Ruihua Song, Liyun Ru
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
JointDiff: Bridging Continuous and Discrete in Multi-Agent Trajectory Generation
Guillem Capellera, Luis Ferraz, Antonio Romano, Alexandre Alahi, Antonio Agudo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Journey to the Centre of Cluster: Harnessing Interior Nodes for A/B Testing under Network Interference
Qianyi Chen, Anpeng Wu, Bo Li, Lu Deng, Yong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness
Erfan Shayegani, Keegan Hines, Yue Dong, Nael Abu-Ghazaleh, Roman Lutz, Spencer Whitehead, Vidhisha Balachandran, Besmira Nushi, Vibhav Vineet
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
K-Prism: A Knowledge-Guided and Prompt Integrated Universal Medical Image Segmentation Model
Bangwei Guo, Yunhe Gao, Meng Ye, Difei Gu, Yang Zhou, Leon Axel, Dimitris Metaxas
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
K-Sort Eval: Efficient Preference Evaluation for Visual Generation via Corrected VLM-as-a-Judge
Zhikai Li, jiatong li, Xuewen Liu, Wangbo Zhao, Pan Du, Kaicheng Zhou, Qingyi Gu, Yang You, Zhen Dong, Kurt Keutzer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
KANO: Kolmogorov-Arnold Neural Operator
Jin Lee, Ziming Liu, Xinling Yu, Yixuan Wang, Haewon Jeong, Murphy Niu, Zheng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
KBVQ-MoE: KLT-guided SVD with Bias-Corrected Vector Quantization for MoE Large Language Models
Zukang Xu, Zhixiong Zhao, Xing Hu, Zhixuan Chen, Dawei Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
KDP: Simplifying Representation Dynamics in Kernel Space
Zeyu Ma, Wanying Wang, Guchu Zou, Mingang Chen, Jianhong Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
KGOT: Unified Knowledge Graph and Optimal Transport Pseudo-Labeling for Molecule-Protein Interaction Prediction
Jiayu Qin, Zhengquan Luo, Guy Tadmor, Changyou Chen, David Zeevi, Zhiqiang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
KL-Regularized Reinforcement Learning for Generative Modelling is Designed to Mode Collapse
Anthony GX-Chen, Jatin Prakash, Jeff Guo, Rob Fergus, Rajesh Ranganath
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
KLAS: Using Similarity to Stitch Neural Networks for Improved Accuracy-Efficiency Tradeoffs
Debopam Sanyal, Anantharaman Iyer, Alind Khare, Trisha Jain, Akshay Jajoo, Myungjin Lee, James Kerce, Alexey Tumanov
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
KRAMABENCH: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes
Eugenie Lai, Gerardo Vitagliano, Ziyu Zhang, Om Chabra, SIVAPRASAD SUDHIR, Anna Zeng, Anton Zabreyko, Chenning Li, Ferdi Kossmann, Jialin Ding, Jun Chen, Markos Markakis, Matthew Russo, Weiyang Wang, Ziniu Wu, Mike Cafarella, Lei Cao, Samuel Madden, Tim Kraska
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
KV Cache Transform Coding for Compact Storage in LLM Inference
Konrad Staniszewski, Adrian Lancucki
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
KVComm: Enabling Efficient LLM Communication through Selective KV Sharing
Xiangyu Shi, Marco Chiesa, Gerald Q. Maguire Jr., Dejan Kostic
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
KaLM-Embedding-V2: Superior Training Techniques and Data Inspire A Versatile Embedding Model
Xinping Zhao, Xinshuo Hu, Zifei Shan, Shouzheng Huang, Yao Zhou, Xin Zhang, Zetian Sun, zhenyu liu, dongfang li, Xinyuan Wei, Youcheng Pan, Yang Xiang, Meishan Zhang, Haofen Wang, Jun Yu, Baotian Hu, Min Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
KaVa: Latent Reasoning via Compressed KV-Cache Distillation
Anna Kuzina, Maciej Pióro, Babak Ehteshami Bejnordi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation
Israfel Salazar, Manuel Fernández Burda, Shayekh Islam, Arshia Soltani Moakhar, Shivalika Singh, Fabian Farestam, Angelika Romanou, Danylo Boiko, Dipika Khullar, Mike Zhang, Dominik Krzemiński, Jekaterina Novikova, Luisa Shimabucoro, Joseph Marvin Imperial, Rishabh Maheshwary, Sharad Duwal, Alfonso Amayuelas, Swati Rajwal, Jebish Purbey, Ahmed Ruby, Nicholas Popovič, Marek Suppa, Azmine Toushik Wasi, Ram Mohan Rao Kadiyala, Olga Tsymboi, Maksim Kostritsya, Bardia moakhar, Gabriel da Costa Merlin, Otávio Coletti, Maral Jabbarishiviari, MOHAMMADAMIN FARAHANIFARD, Silvia Fernandez, María Grandury, Dmitry Abulkhanov, Drishti Sharma, Andre Guarnier De Mitri, Leticia Marchezi, Setayesh Heydari, Johan S Obando Ceron, Nazar Kohut, Beyza Ermis, Desmond Elliott, Enzo Ferrante, Sara Hooker, Marzieh Fadaee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Keep the Best, Forget the Rest: Reliable Alignment with Order-Aware Preference Optimization
Jiahui Zhu, Yuanjie Shi, Xiyue Peng, Xin Liu, Yan Yan, Honghao Wei
Machine Learning
日本大学: 関与なし（対象大学）