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
HiTeA: Hierarchical Temporal Alignment for Training-Free Long-Video Temporal Grounding
Xinyi Xu, Hongsong Wang, Guo-Sen Xie, Caifeng Shan, Fang Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HiVid: LLM-Guided Video Saliency For Content-Aware VOD And Live Streaming
Jiahui Chen, Bo Peng, Lianchen Jia, Zeyu Zhang, Tianchi Huang, Lifeng Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hidden Breakthroughs in Language Model Training
Sara Kangaslahti, Elan Rosenfeld, Naomi Saphra
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HiddenEcho: Mitigating Noise Amplification in Differentially Private LLMs with Hidden-State Correction
Wenhao Li, Kunhao Li, Lei Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HierLoc: Hyperbolic Entity Embeddings for Hierarchical Visual Geolocation
Hari Krishna Gadi, Daniel Matos, Hongyi Luo, Lu Liu, Yongliang Wang, Yanfeng Zhang, Liqiu Meng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hierarchical Concept-based Interpretable Models
Oscar Hill, Mateo Espinosa Zarlenga, Mateja Jamnik
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hierarchical Encoding Tree with Modality Mixup for Cross-modal Hashing
Zhiping Xiao, Junyu Luo, Hang Zhou, Yusheng Zhao, Xiao Luo, Pengyun Wang, Wei Ju, Siyu Heng, Ming Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hierarchical Entity-centric Reinforcement Learning with Factored Subgoal Diffusion
Dan Haramati, Carl Qi, Tal Daniel, Amy Zhang, Aviv Tamar, George D Konidaris
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hierarchical Multi-Scale Molecular Conformer Generation
Jiapeng Hu, Weizhi Gao, Zhichao Hou, Xiaorui Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hierarchical Multi-Stage Recovery Framework for Kronecker Compressed Sensing
Yanbin He, Geethu Joseph
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hierarchical Prototype Learning for Semantic Segmentation
Seoha Lim, Jinmyeong Kim, Jieun Kim, Sung-Bae Cho
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hierarchical Semantic-Acoustic Modeling via Semi-Discrete Residual Representations for Expressive End-to-End Speech Synthesis
Yixuan Zhou, Guoyang Zeng, Xin Liu, Xiang Li, Renjie Yu, Ziyang Wang, Runchuan Ye, Weiyue Sun, Jiancheng Gui, Kehan Li, Zhiyong Wu, Zhiyuan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hierarchical Value-Decomposed Offline Reinforcement Learning for Whole-Body Control
Zhilong Zhang, Yunpeng Mei, Xinghao Du, Hongjie Cao, Haonan Wang, Pengyuan Min, Chenyu Wang, Pengfei Chen, Chenbo Xin, Yijie Wang, Wenyu Luo, Yihao Sun, Yidi Wang, Lei Yuan, Gang Wang, Yang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hierarchy Decoding: A Training-free Parallel Decoding Strategy for Diffusion Large Language Models
Xiaojing Qi, Lun Du, Xinyuan Zhang, Lanning Wei, Tao Jin, Da Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hierarchy-of-Groups Policy Optimization for Long-Horizon Agentic Tasks
Shuo He, Lang Feng, qi wei, Xin Cheng, Lei Feng, Bo An
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
High Accuracy, Less Talk (HALT): Reliable LLMs through Capability-Aligned Finetuning
Tim Franzmeyer, Archie Sravankumar, Lijuan Liu, Yuning Mao, Rui Hou, Sinong Wang, Jakob Foerster, Luke Zettlemoyer, Madian Khabsa
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
High Probability Bounds for Non-Convex Stochastic Optimization with Momentum
Shaojie Li, Pengwei Tang, Bowei Zhu, Yong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
High-Dimensional Analysis of Single-Layer Attention for Sparse-Token Classification
Nicholas Barnfield, Hugo Cui, Yue Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
High-Probability Bounds for the Last Iterate of Clipped SGD
Savelii Chezhegov, Daniela Angela Parletta, Andrea Paudice, Eduard Gorbunov
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
High-dimensional Analysis of Synthetic Data Selection
Parham Rezaei, Filip Kovačević, Francesco Locatello, Marco Mondelli
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
High-dimensional Mean-Field Games by Particle-based Flow Matching
Jiajia Yu, Junghwan Lee, Yao Xie, Xiuyuan Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
High-dimensional limit theorems for SGD: Momentum and Adaptive Step-sizes
Aukosh Jagannath, Taj Jones-McCormick, Varnan Sarangian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Highly Efficient and Effective LLMs with Multi-Boolean Architectures
Ba-Hien Tran, Van Minh Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hilbert-Guided Sparse Local Attention
Yunge Li, Lanyu Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hilbert: Recursively Building Formal Proofs with Informal Reasoning
Sumanth Varambally, Thomas Voice, Yanchao Sun, Zhifeng Chen, Rose Yu, Ke Ye
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hinge Regression Tree: A Newton Method for Oblique Regression Tree Splitting
Hongyi Li, Han Lin, Jun Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HippoTune: A Hippocampal Associative Loop–Inspired Fine-Tuning Method for Continual Learning
Yanxi Chen, Xiuxing Li, yuyang Han, Zhuo Wang, Qing Li, Ziyu Li, Xiang Li, Chen Wei, Xia Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hippoformer: Integrating Hippocampus-inspired Spatial Memory with Transformers
Tiantian Li, Xingxing Cao, Yifei Wang, Xiaojiao Yang, Xiaolong Zou, Bo Hong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HistoPrism: Unlocking Functional Pathway Analysis from Pan-Cancer Histology via Gene Expression Prediction
Susu Hu, Qinghe Zeng, Nithya Bhasker, Jakob Nikolas Kather, Stefanie Speidel
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Histopathology-Genomics Multi-modal Structural Representation Learning for Data-Efficient Precision Oncology
KUN WU, Zhiguo Jiang, Xinyu Zhu, Jun Shi, Yushan Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Holdout-Loss-Based Data Selection for LLM Finetuning via In-Context Learning
Ling Zhang, Xianliang Yang, Juwon Yu, Park Cheonyoung, Lei Song, Jiang Bian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation
Sayash Kapoor, Benedikt Stroebl, Peter Kirgis, Nitya Nadgir, Zachary Siegel, Boyi Wei, Tianci Xue, Ziru Chen, Felix Chen, Saiteja Utpala, Franck Ndzomga, Dheeraj Oruganty, Sophie Luskin, Kangheng Liu, Botao Yu, Amit Arora, Dongyoon Hahm, Harsh Trivedi, Huan Sun, Juyong Lee, Tengjun Jin, Yifan Mai, Yifei Zhou, Yuxuan Zhu, Rishi Bommasani, Daniel Kang, Dawn Song, Peter Henderson, Yu Su, Percy Liang, Arvind Narayanan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HoloPart: Generative 3D Part Amodal Segmentation
Yunhan Yang, Yuanchen Guo, Yukun Huang, Zi-Xin Zou, Zhipeng Yu, Yangguang Li, Yanpei Cao, Xihui Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Homeostatic Adaptation of Optimal Population Codes under Metabolic Stress
Yi-Chun Hung, Gregory Schwartz, Emily Cooper, Emma Alexander
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Horizon Imagination: Efficient On-Policy Rollout in Diffusion World Models
Lior Cohen, Ofir Nabati, Kaixin Wang, Navdeep Kumar, Shie Mannor
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Horseshoe Splatting: Handling Structural Sparsity for Uncertainty-Aware Gaussian-Splatting Radiance Field Rendering
Feng Wu, Tsai Hor Chan, Yihang Chen, Lingting Zhu, Guosheng Yin, Lequan Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hot PATE: Private Aggregation of Distributions for Diverse Tasks
Edith Cohen, Benjamin Cohen-Wang, Xin Lyu, Jelani Nelson, Tamas Sarlos, Uri Stemmer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
House Of Dextra : Cross-Embodied Co-Design for Dexterous Hands
Kehlani Fay, Darin Djapri, Anya Zorin, James Clinton, Ali El Lahib, Hao Su, Michael Tolley, Sha Yi, Xiaolong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Householder-Diagonalized Linear Attention (HDLA): Utilizing Enhanced Decay Mechanism for Efficient Sequence Modeling
Jiefu Zhang, Qin Zhen, Jiabo Tong, Shijie Mei, Jiakui Hu, Yuqi Pan, Anjie Hu, Man Yao, Bo XU, Guoqi Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
How Catastrophic is Your LLM? Certifying Risks in Conversation
Chengxiao Wang, Isha Chaudhary, Qian Hu, Weitong Ruan, Rahul Gupta, Gagandeep Singh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
How Dark Patterns Manipulate Web Agents
Phil Cuvin, Hao Zhu, Diyi Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
How Do Medical MLLMs Fail? A Study on Visual Grounding in Medical Images
Guimeng Liu, Tianze Yu, Somayeh Ebrahimkhani, Shawn Lin, Kok Pin Ng, Man Cheung
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
How Do Transformers Learn to Associate Tokens: Gradient Leading Terms Bring Mechanistic Interpretability
Shawn Im, Changdae Oh, Zhen Fang, Sharon Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
How Far Are LLMs from Professional Poker Players? Revisiting Game-Theoretic Reasoning with Agentic Tool Use
Minhua Lin, Enyan Dai, Hui Liu, Xianfeng Tang, Yuliang Yan, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Fali Wang, Hongcheng Gao, Chen Luo, Xiang Zhang, Qi He, Suhang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
How Far Can Unsupervised RLVR Scale LLM Training?
Bingxiang He, Yuxin Zuo, Zeyuan Liu, Shangziqi Zhao, Zixuan Fu, Junlin Yang, Cheng Qian, Kaiyan Zhang, Yuchen Fan, Ganqu Cui, Xiusi Chen, Youbang Sun, Xingtai Lv, Xuekai Zhu, Li Sheng, Ran Li, Huan-ang Gao, Yuchen Zhang, Lifan Yuan, Bowen Zhou, Zhiyuan Liu, Ning Ding
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
How Learning Rate Decay Wastes Your Best Data in Curriculum-Based LLM Pretraining
Kairong Luo, Zhenbo Sun, Haodong Wen, Xinyu Shi, Jiarui Cui, Chenyi Dang, Kaifeng Lyu, Wenguang Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
How Many Code and Test Cases Are Enough? Evaluating Test Cases Generation from a Binary-Matrix Perspective
Xianzhen Luo, JinYang Huang, Wenzhen Zheng, Qingfu Zhu, Mingzheng Xu, Yiheng Xu, YuanTao Fan, Wanxiang Che
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
How Muon’s Spectral Design Benefits Generalization: A Study on Imbalanced Data
Bhavya Vasudeva, Puneesh Deora, Yize Zhao, Vatsal Sharan, Christos Thrampoulidis
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
How NOT to benchmark your SITE metric: Beyond Static Leaderboards and Towards Realistic Evaluation.
Prabhant Singh, Sibylle Hess, Joaquin Vanschoren
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
How Reliable is Language Model Micro-Benchmarking?
Gregory Yauney, Shahzaib Warraich, Swabha Swayamdipta
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
How Stable is the Next Token? A Geometric View of LLM Prediction Stability
Deyuan Liu, Zecheng Wang, Zhanyue Qin, Zhiying Tu, Dianhui Chu, Dianbo Sui
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
How Text Quality Interventions Reshape Neural Scaling Laws for LLMs: Empirical Study
Newsha Ardalani, Feiyang Kang, Michael Kuchnik, Mostafa Elhoushi, Shubho Sengupta, Shang-Wen Li, Carole-Jean Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
How Transformers Learn Causal Structures In-Context: Explainable Mechanism Meets Theoretical Guarantee
Jianzhe Wei, Siyu Chen, Jianliang He, Zhuoran Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks
Rahul Ramachandran, Ali Garjani, Roman Bachmann, Andrei Atanov, Oğuzhan Kar, Amir Zamir
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
How does the optimizer implicitly bias the model merging loss landscape?
Chenxiang Zhang, Alexander Theus, Damien Teney, Antonio Orvieto, Jun Pang, Sjouke Mauw
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
How hard is learning to cut? Trade-offs and sample complexity
Sammy Khalife, Andrea Lodi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
How reinforcement learning after next-token prediction facilitates learning
Nikolaos Tsilivis, Eran Malach, Karen Ullrich, Julia Kempe
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
How to Cure Newton for Unlearning Neural Networks? An Empirical Study from the Hessian Perspective
Nhung Bui, Xinyang Lu, Rachael Hwee Ling Sim, See-Kiong Ng, Bryan Kian Hsiang Low
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
How to Lose Inherent Counterfactuality in Reinforcement Learning
Ezgi Korkmaz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
How to Square Tensor Networks and Circuits Without Squaring Them
Lorenzo Loconte, Adrián Javaloy, Antonio Vergari
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
How to train data-efficient LLMs
Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, Lichan Hong, Ed H. Chi, James Caverlee, Julian McAuley, Derek Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hubble: a Model Suite to Advance the Study of LLM Memorization
Johnny Wei, Ameya Godbole, Mohammad Aflah Khan, Ryan Wang, Xiaoyuan Zhu, James Flemings, Nitya Kashyap, Krishna Gummadi, Willie Neiswanger, Robin Jia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Human Behavior Atlas: Benchmarking Unified Psychological And Social Behavior Understanding
Keane Ong, Wei Dai, Carol Li, Dewei Feng, Hengzhi Li, Jingyao Wu, Jiaee Cheong, Rui Mao, Gianmarco Mengaldo, Erik Cambria, Paul Liang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Human Uncertainty-Aware Data Selection and Automatic Labeling in Visual Question Answering
Jian Lan, Zhicheng Liu, Udo Schlegel, Raoyuan Zhao, Yihong Liu, Hinrich Schuetze, Michael Hedderich, Thomas Seidl
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Human or Machine? A Preliminary Turing Test for Speech-to-Speech Interaction
Xiang Li, Jiabao Gao, Sipei Lin, Xuan Zhou, Chi Zhang, Bo Cheng, Jiale Han, Wang Benyou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Human-LLM Collaborative Feature Engineering for Tabular Data
Zhuoyan Li, Aditya Bansal, Jinzhao Li, Shishuang He, Zhuoran Lu, Mutian Zhang, Qin Liu, Yiwei Yang, Swati Jain, Ming Yin, Yunyao Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Human-MME: A Holistic Evaluation Benchmark for Human-Centric Multimodal Large Language Models
Yuansen Liu, Haiming Tang, Jinlong Peng, Jiangning Zhang, Xiaozhong Ji, Qingdong He, Donghao Luo, Zhenye Gan, Junwei Zhu, Yunhang Shen, Chaoyou Fu, Chengjie Wang, Xiaobin Hu, Shuicheng YAN
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Human-Object Interaction via Automatically Designed VLM-Guided Motion Policy
Zekai Deng, Ye Shi, Kaiyang Ji, Lan Xu, Shaoli Huang, Jingya Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Human3R: Everyone Everywhere All at Once
YUE CHEN, Xingyu Chen, Yuxuan Xue, Anpei Chen, Yuliang Xiu, Gerard Pons-Moll
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HumanPCR: Probing MLLM Capabilities in Diverse Human-Centric Scenes
Keliang Li, Hongze Shen, Hao Shi, RuiBing Hou, Hong Chang, Jie Huang, Chenghao Jia, Wen Wang, Yiling Wu, Dongmei Jiang, Shiguang Shan, Xilin CHEN
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Humanline: Online Alignment as Perceptual Loss
Sijia Liu, Niklas Muennighoff, Kawin Ethayarajh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Huxley-G\"odel Machine: Human-Level Coding Agent Development by an Approximation of the Optimal Self-Improving Machine
Wenyi Wang, Piotr Piękos, Li Nanbo, Firas Laakom, Yimeng Chen, Mateusz Ostaszewski, Mingchen Zhuge, Jürgen Schmidhuber
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hybrid Deep Searcher: Scalable Parallel and Sequential Search Reasoning
Dayoon Ko, Jihyuk Kim, Haeju Park, Sohyeon Kim, Dahyun Lee, Yongrae Jo, Gunhee Kim, Moontae Lee, Kyungjae Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hybrid Reinforcement: when reward is sparse, better to be dense
Leitian Tao, Ilia Kulikov, Swarnadeep Saha, Tianlu Wang, Jing Xu, Sharon Li, Jason E Weston, Ping Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hybrid Training for Vision-Language-Action Models
Pietro Mazzaglia, Cansu Sancaktar, Markus Peschl, Daniel Dijkman
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model
Jiaming Liu, Hao Chen, Zhuoyang Liu, Pengju An, Renrui Zhang, Chenyang Gu, Xiaoqi Li, Ziyu Guo, Sixiang Chen, Mengzhen Liu, Chengkai Hou, Mengdi Zhao, KC Zhou, Pheng-Ann Heng, Shanghang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hyden: A Hybrid Dual-Path Encoder for Monocular Geometry of High-resolution Images
Zaiwei Zhang, Marc Mapeke, Wei Ye, Rakesh Ranjan, JQ Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hyper-SET: Designing Transformers via Hyperspherical Energy Minimization
Yunzhe Hu, Difan Zou, Dong Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hyperbolic Aware Minimization: Implicit Bias for Sparsity
Tom Jacobs, Advait Gadhikar, Celia Rubio-Madrigal, Rebekka Burkholz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hyperparameter Trajectory Inference with Conditional Lagrangian Optimal Transport
Harry Amad, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hyperspherical Latents Improve Continuous-Token Autoregressive Generation
Guolin Ke, HUI XUE
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hystar: Hypernetwork-driven Style-adaptive Retrieval via Dynamic SVD Modulation
Yujia Cai, Boxuan Li, Chenghao Xu, Jiexi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data?
Yuhang Liu, Dong Gong, Yichao Cai, Erdun Gao, Zhen Zhang, Biwei Huang, Mingming Gong, Anton Hengel, Javen Qinfeng Shi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
I-DRUID: Layout to image generation via instance-disentangled representation and unpaired data
Fengxiang Yang, Tianyi Zheng, Bangjie Yin, Shice Liu, Jinwei Chen, Peng-Tao Jiang, Bo Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
I2Mole: Interaction-aware Invariant Molecular Learning For Generalizable Property Prediction
Wenjie Du, Jiahui Zhang, Xuqiang Li, Sihan Wang, Zhengyang Zhou, Hongxin Xiang, Jun Xia, Ye Wei, Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
IA2: Alignment with ICL Activations improves Supervised Fine-Tuning
Aayush Mishra, Daniel Khashabi, Anqi Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
IC-Custom: Diverse Image Customization via In-Context Learning
Yaowei Li, Xiaoyu Li, Zhaoyang Zhang, Yuxuan Bian, Gan Liu, Xinyuan Li, Jiale Xu, Wenbo Hu, yating liu, Lingen Li, Jing Cai, Yuexian Zou, Yancheng He, Ying Shan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ICDiffAD: Implicit Conditioning Diffusion Model for Time Series Anomaly Detection
Fan Zhang, Sinchee Chin, Jing-Hao Xue, Wenming Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ICYM$^2$I: The illusion of multimodal informativeness under missingness
Young Sang Choi, Vincent Jeanselme, Pierre Elias, Shalmali Joshi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ICaRus: Identical Cache Reuse for Efficient Multi-Model Inference
Sunghyeon Woo, Jaeeun Kil, Hoseung Kim, Minsub Kim, Joonghoon Kim, Ahreum Seo, Sungjae Lee, Minjung Jo, Jiwon Ryu, baeseong park, Se Jung Kwon, Dongsoo Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment
Chenlin Ming, Chendi Qu, Qizhi Pei, Zhuoshi Pan, Yu Li, Xiaoming Duan, Lijun Wu, Conghui He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
IDER: IDempotent Experience Replay for Reliable Continual Learning
Zhanwang Liu, Yuting Li, Haoyuan Gao, Yexin Li, Linghe Kong, Lichao Sun, Weiran Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
IF-VidCap: Can Video Caption Models Follow Instructions?
Shihao Li, Yuanxing Zhang, Jiangtao Wu, Zhide Lei, Yiwen He, Runzhe Wen, Chenxi Liao, Chengkang Jiang, An Ping, Shuo Gao, Suhan Wang, Zhaozhou Bian, Zijun Zhou, Jingyi Xie, Jiayi Zhou, Jing Wang, Yifan Yao, Weihao Xie, Yingshui Tan, Yanghai Wang, Qianqian Xie, Zhaoxiang Zhang, JIAHENG LIU
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
IGC-Net for conditional average potential outcome estimation over time
Konstantin Hess, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
IGGT: Instance-Grounded Geometry Transformer for Semantic 3D Reconstruction
昊李, Zhengyu Zou, Fangfu Liu, zhang xuanyang, Fangzhou Hong, Yukang Cao, Yushi LAN, Manyuan Zhang, Gang Yu, Dingwen Zhang, Ziwei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
IGU-LoRA: Adaptive Rank Allocation via Integrated Gradients and Uncertainty-Aware Scoring
Xuan Cui, HuiYue Li, Run Zeng, Yunfei Zhao, Jinrui Qian, Wei Duan, Bo Liu, Zhanpeng Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
IMSE: Intrinsic Mixture of Spectral Experts Fine-tuning for Test-Time Adaptation
Sunghyun Baek, Jaemyung Yu, Seunghee Koh, Minsu Kim, Hyeonseong Jeon, Junmo Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
INO-SGD: Addressing Utility Imbalance under Individualized Differential Privacy
Xiao Tian, Jue Fan, Rachael Hwee Ling Sim, Bryan Kian Hsiang Low
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
INSTANT: Compressing Gradients and Activations for Resource-Efficient Training
Tuan-Kiet Doan, Trung-Hieu Tran, Enzo Tartaglione, Nikola Simidjievski, Van-Tam Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
INTIMA: A Benchmark for Human-AI Companionship Behavior
Lucie-Aimée Kaffee, Giada Pistilli, Yacine Jernite
Machine Learning
日本大学: 関与なし（対象大学）