ICLR

2022–2026 LIVE

著者一覧 · 国際会議 · 大学ランキング

ICLR 公式サイト ↗

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
Gradient-Direction-Aware Density Control for 3D Gaussian Splatting
Zheng Zhou, Yu-Jie Xiong, Jia-Chen Zhang, Chun-Ming Xia, Xihe Qiu, Hongjian Zhan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Gradient-Normalized Smoothness for Optimization with Approximate Hessians
Andrei Semenov, Martin Jaggi, Nikita Doikov
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Gradient-Sign Masking for Task Vector Transport Across Pre-Trained Models
Filippo Rinaldi, Aniello Panariello, Giacomo Salici, Fengyuan Liu, Marco Ciccone, Angelo Porrello, Simone Calderara
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GranViT: A Fine-Grained Vision Model For Autoregressive Multimodal Large Language Models
Guanghao Zheng, Bowen Shi, Mingxing Xu, Ruoyu Sun, Peisen Zhao, Zhibo Zhang, Wenrui Dai, Junni Zou, Hongkai Xiong, XIAOPENG ZHANG, Qi Tian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Graph Diffusion Transformers are In-Context Molecular Designers
Gang Liu, Jie Chen, Yihan Zhu, Michael Sun, Tengfei Luo, Nitesh Chawla, Meng Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Graph Random Features for Scalable Gaussian Processes
Matthew Zhang, Jihao Andreas Lin, Krzysztof Choromanski, Adrian Weller, Richard E Turner, Isaac Reid
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Graph Representational Learning: When Does More Expressivity Hurt Generalization?
Sohir Maskey, Raffaele Paolino, Fabian Jogl, Gitta Kutyniok, Johannes Lutzeyer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Graph Signal Processing Meets Mamba2: Adaptive Filter Bank via Delta Modulation
Yehjin Shin, Seojin Kim, Noseong Park
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Graph Tokenization for Bridging Graphs and Transformers
Zeyuan Guo, Enmao Diao, Cheng Yang, Chuan Shi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Graph homophily booster: Reimagining the role of discrete features in heterophilic graph learning
Ruizhong Qiu, Ting-Wei Li, Gaotang Li, Hanghang Tong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Graph-Theoretic Intrinsic Reward: Guiding RL with Effective Resistance
Jatin Chauhan, Shivam Bhardwaj, Aditya Saibewar, Aditya Ramesh, Sadbhavana Babar, Manohar Kaul
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Graph-based Nearest Neighbors with Dynamic Updates via Random Walks
Nina Mishra, Yonatan Naamad, Tal Wagner, Lichen Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Graph-of-Agents: A Graph-based Framework for Multi-Agent LLM Collaboration
Sukwon Yun, Jie Peng, Pingzhi Li, Wendong Fan, Jie Chen, James Y Zou, Guohao Li, Tianlong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GraphOmni: A Comprehensive and Extensible Benchmark Framework for Large Language Models on Graph-theoretic Tasks
Hao Xu, Xiangru Jian, Xinjian Zhao, Wei Pang, Chao Zhang, Suyuchen Wang, Qixin ZHANG, Zhengyuan Dong, Joao Monteiro, Bang Liu, Qiuzhuang Sun, Tianshu Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GraphPlanner: Graph Memory-Augmented Agentic Routing for Multi-Agent LLMs
Tao Feng, Haozhen Zhang, Zijie Lei, Peixuan Han, Jiaxuan You
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GraphShield: Graph-Theoretic Modeling of Network-Level Dynamics for Robust Jailbreak Detection
Sunghee Dong, Sungwon Yi, Kangmin Bae, Jaeyoon Kim, Seongyeop Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GraphUniverse: Synthetic Graph Generation for Evaluating Inductive Generalization
Louis Emiel T Van Langendonck, Guillermo Bernardez, Nina Miolane, Pere Barlet-Ros
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Graphon Cross-Validation: Assessing Models on Network Data
Huimin Cheng, Yongkai Chen, Ping Ma, Wenxuan Zhong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Grasp Any Region: Towards Precise, Contextual Pixel Understanding for Multimodal LLMs
Haochen Wang, Yuhao Wang, Tao Zhang, Yikang Zhou, Yanwei Li, Jiacong Wang, Jiani zheng, Ye Tian, Jiahao Meng, Zilong Huang, Guangcan Mai, Anran Wang, Yunhai Tong, Zhuochen Wang, Xiangtai Li, Zhaoxiang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Greater than the Sum of Its Parts: Building Substructure into Protein Encoding Models
Robert Calef, Arthur Liang, Manolis Kellis, Marinka Zitnik
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Grokking in LLM Pretraining? Monitor Memorization-to-Generalization without Test
Ziyue Li, Chenrui Fan, Tianyi Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Ground Slow, Move Fast: A Dual-System Foundation Model for Generalizable Vision-Language Navigation
Meng Wei, Chenyang Wan, Peng, Xiqian Yu, Yuqiang Yang, Delin Feng, Wenzhe Cai, Chenming Zhu, Tai Wang, Jiangmiao Pang, Xihui Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Grounding Computer Use Agents on Human Demonstrations
Aarash Feizi, Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin, Kaixin Li, Rabiul Awal, Xing Han Lu, Johan S Obando Ceron, Juan A. Rodriguez, Nicolas Chapados, David Vazquez, Adriana Romero-Soriano, Reihaneh Rabbany, Perouz Taslakian, Christopher Pal, Spandana Gella, Sai Rajeswar Mudumba
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Grounding Generative Planners in Verifiable Logic: A Hybrid Architecture for Trustworthy Embodied AI
Feiyu Wu, Xu Zheng, Yue Qu, Zhuocheng Wang, Zicheng Feng, HUI LI
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Grounding and Enhancing Informativeness and Utility in Dataset Distillation
Shaobo Wang, Yantai Yang, Guo Chen, Peiru Li, Kaixin Li, Yufa Zhou, Zhaorun Chen, Linfeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Grounding or Guessing? Visual Signals for Detecting Hallucinations in Sign Language Translation
Yasser HAMIDULLAH, Koel Dutta Chowdhury, Yusser Al Ghussin, Shakib Yazdani, Cennet Oguz, Josef Genabith, Cristina España-Bonet
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Grounding-IQA: Grounding Multimodal Language Model for Image Quality Assessment
Zheng Chen, Xun Zhang, Wenbo Li, Renjing Pei, Fenglong Song, Xiongkuo Min, Xiaohong Liu, Xin Yuan, Yong Guo, Yulun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Group Critical-token Policy Optimization for Autoregressive Image Generation
Guohui Zhang, Hu Yu, Xiaoxiao Ma, JingHao Zhang, Yaning Pan, Mingde Yao, Jie Xiao, Linjiang Huang, Jie Huang, Feng Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Group Representational Position Encoding
Yifan Zhang, Zixiang Chen, Yifeng Liu, Qin Zhen, Rina Hughes, Kangping Xu, Yang Yuan, Quanquan Gu, Andrew Yao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Group Verification-based Policy Optimization for Interactive Coding Agents
Silong Dai, Changzhi Sun, Haolun Wu, Huanran Zheng, Tao Ji, Junchi Yan, Yuanbin Wu, Dell Zhang, Xiaoling Wang, Xuelong Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Group-Normalized Implicit Value Optimization for Language Models
Yunseon Choi, Junyoung Jang, Chaeyoung Oh, Minchan Jeong, Doo Hwan Hwang, Kee-Eung Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Group-Relative REINFORCE Is Secretly an Off-Policy Algorithm: Demystifying Some Myths About GRPO and Its Friends
Chaorui Yao, Yanxi Chen, Yuchang Sun, Yushuo Chen, Wenhao Zhang, Xuchen Pan, Yaliang Li, Bolin Ding
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Grouping Nodes with known Value Differences: A lossless UCT-based Abstraction Algorithm
Robin Schmöcker, Alexander Dockhorn, Bodo Rosenhahn
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Guaranteed Simply Connected Mesh Reconstruction from an Unorganized Point Cloud
Liyan Chen, Jingyi Li, Qixing Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GuardAlign: Test-time Safety Alignment in Multimodal Large Language Models
Xingyu Zhu, Beier Zhu, Junfeng Fang, Shuo Wang, Yin Zhang, Xiang Wang, Xiangnan He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Guidance Matters: Rethinking the Evaluation Pitfall for Text-to-Image Generation
Dian XIE, Shitong Shao, Lichen Bai, zikai zhou, Bojun Cheng, Shuo Yang, JUN WU, Zeke Xie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Guidance Watermarking for Diffusion Models
Enoal Gesny, Eva Giboulot, Teddy Furon, Vivien Chappelier
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Guided Flow Policy: Learning from High-Value Actions in Offline Reinforcement Learning
Franki NGUIMATSIA TIOFACK, Théotime Le Hellard, Fabian Schramm, Nicolas Perrin-Gilbert, Justin Carpentier
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Guided Policy Optimization under Partial Observability
yueheng li, Guangming Xie, Zongqing Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Guided Query Refinement: Multimodal Hybrid Retrieval with Test-Time Optimization
Omri Uzan, Asaf Yehudai, Roi Pony, Eyal Shnarch, Ariel Gera
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Guided Speculative Inference for Efficient Test-Time Alignment of LLMs
Jonathan Geuter, Youssef Mroueh, David Alvarez-Melis
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GuidedBench: Measuring and Mitigating the Evaluation Discrepancies of In-the-wild LLM Jailbreak Methods
Ruixuan HUANG, Xunguang Wang, Zongjie Li, Daoyuan Wu, Shuai Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GuidedSampling: Steering LLMs Towards Diverse Candidate Solutions at Inference-Time
Divij Handa, Mihir Parmar, Aswin RRV, Md Nayem Uddin, Hamid Palangi, Chitta Baral
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
GuirlVG: Incentivize GUI Visual Grounding via Empirical Exploration on Reinforcement Learning
Weitai Kang, Bin Lei, Gaowen Liu, Caiwen Ding, Yan Yan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Gumbel Distillation for Parallel Text Generation
Chi Zhang, Xixi Hu, Bo Liu, Qiang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
H$^3$DP: Triply‑Hierarchical Diffusion Policy for Visuomotor Learning
Yiyang Lu, Yufeng Tian, Zhecheng Yuan, Xianbang Wang, Pu Hua, Zhengrong Xue, Huazhe Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
H2OFlow: Grounding Human-Object Affordances with 3D Generative Models and Dense Diffused Flows
Harry Zhang, Luca Carlone
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HAMLET: A Hierarchical and Adaptive Multi-Agent Framework for Live Embodied Theatrics
Shufan Jiang, Sizhou Chen, Chi Zhang, Xiao-Lei Zhang, Xuelong Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HAMLET: Switch Your Vision-Language-Action Model into a History-Aware Policy
Myungkyu Koo, Daewon Choi, Taeyoung Kim, Kyungmin Lee, Changyeon Kim, Younggyo Seo, Jinwoo Shin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HARDTESTGEN: A High-Quality RL Verifier Generation Pipeline for LLM Algorithimic Coding
Zhongmou He, Yee Man Choi, Kexun Zhang, Ivan Bercovich, Jiabao Ji, Junting Zhou, Dejia Xu, Aidan Zhang, Yixiao Zeng, Lei Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HARP: Hallucination Detection via Reasoning Subspace Projection
Junjie Hu, Gang Tu, Cheng Shengyu, JinXin Li, Jinting Wang, Rui Chen, Zhilong Zhou, Dongbo Shan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HATSolver: Learning Gröbner Bases with Hierarchical Attention Transformers
Mohamed Malhou, Ludovic Perret, Kristin Lauter
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HBO: Hierarchical Balancing Optimization for Fine-Tuning Large Language Models
Weixuan Wang, Minghao Wu, Barry Haddow, Alexandra Birch
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HDR-NSFF: High Dynamic Range Neural Scene Flow Fields
Shin Dong-Yeon, Kim Jun-Seong, Kwon Byung-Ki, Tae-Hyun Oh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HEAPr: Hessian-based Efficient Atomic Expert Pruning in Output Space
Ke Li, Zheng Yang, Zhongbin Zhou, Xuefeng, Zhonglin Jiang, Wenxiao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HEEGNet: Hyperbolic Embeddings for EEG
Shanglin Li, Chu Shiwen, Okan Koc, Yi Ding, Qibin Zhao, Motoaki Kawanabe, Ziheng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HEIST: A Graph Foundation Model for Spatial Transcriptomics and Proteomics Data
Hiren Madhu, João Felipe Rocha, Tinglin Huang, Siddharth Viswanath, Smita Krishnaswamy, Rex Ying
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HFSTI-Net: Hierarchical Frequency-spatial-temporal Interactions for Video Polyp Segmentation
Yuanqin He, Guilian Chen, Yuhua Zhang, Huisi Wu, Jing Qin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HGNet: Scalable Foundation Model for Automated Knowledge Graph Generation from Scientific Literature
Devvrat Joshi, Islem Rekik
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HLD: Approximate Hierarchical Linguistic Distribution Modeling for LLM-Generated Text Detection
Rui Guo, Weibin Zeng, Fuzhang Wu, Yan Kong, sicheng shen, Yanjun WU, Weiming Dong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HOG-Diff: Higher-Order Guided Diffusion for Graph Generation
Yiming Huang, Tolga Birdal
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HOTA: Hamiltonian framework for Optimal Transport Advection
Nazar Buzun, Daniil Shlenskii, Maksim Bobrin, Dmitry Dylov
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HSG-12M: A Large-Scale Benchmark of Spatial Multigraphs from the Energy Spectra of Non-Hermitian Crystals
Xianquan Yan, Hakan Akgün, Kenji Kawaguchi, Duane Loh, Ching Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HSIC Bottleneck for Cross-Generator and Domain-Incremental Synthetic Image Detection
CHIN-CHIA YANG, Yung-Yu Chuang, Hwann-Tzong Chen, Tyng-Luh Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HSSBench: Benchmarking Humanities and Social Sciences Ability for Multimodal Large Language Models
Zhaolu Kang, Junhao Gong, Jiaxu Yan, Wanke Xia, Yian Wang, Zhuo Cheng, Wenhao Cao, Ziwen Wang, ZhiYuan Feng, Huaxuan Ding, Siqi He, Shannan Yan, Xiaomin He, Junzhe Chen, Chaoya Jiang, Wei Ye, Kaidong Yu, Xuelong Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HUME: Measuring the Human-Model Performance Gap in Text Embedding Tasks
Adnan El Assadi, Isaac Chung, Roman Solomatin, Niklas Muennighoff, Kenneth Enevoldsen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HUMOF: Human Motion Forecasting in Interactive Social Scenes
Caiyi Sun, YUJING SUN, Xiao Han, Zemin Yang, Jiawei Liu, xinge zhu, Siu Ming Yiu, Yuexin Ma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HWC-Loco: A Hierarchical Whole-Body Control Approach to Robust Humanoid Locomotion
Sixu Lin, Guanren Qiao, Yunxin Tai, Ang Li, Kui Jia, Guiliang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HYPER: A Foundation Model for Inductive Link Prediction with Knowledge Hypergraphs
Xingyue Huang, Mikhail Galkin, Michael Bronstein, Ismail I Ceylan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HackWorld: Evaluating Computer-Use Agents on Exploiting Web Application Vulnerabilities
Xiaoxue Ren, Penghao Jiang, Kaixin Li, Zhiyong Huang, Xiaoning Du, Jiaojiao Jiang, Zhenchang Xing, Jiamou Sun, Terry Yue Zhuo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Half-order Fine-Tuning for Diffusion Model: A Recursive Likelihood Ratio Optimizer
Tao Ren, Zishi Zhang, Jinyang Jiang, Zehao Li, Shentao Qin, Yi Zheng, Guanghao Li, Qianyou Sun, Yan Li, Jiafeng Liang, Xinping Li, Yijie Peng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HalluGuard: Demystifying Data-Driven and Reasoning-Driven Hallucinations in LLMs
Xinyue Zeng, Junhong Lin, Yujun Yan, Feng Guo, Liang Shi, Jun Wu, Dawei Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hallucination Begins Where Saliency Drops
Xiaofeng Zhang, Yuanchao Zhu, Chaochen Gu, Xiaosong Yuan, Qiyan Zhao, Jiawei Cao, Barrett Tang, Sinan Fan, Yaomin Shen, Chen Shen, Hao Tang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hallucination Reduction with CASAL: Contrastive Activation Steering for Amortized Learning
Wannan Yang, Xinchi Qiu, Lei Yu, Yuchen Zhang, Aobo Yang, Narine Kokhlikyan, Nicola Cancedda, Diego Garcia-Olano
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hallucination-aware Intermediate Representation Edit in Large Vision-Language Models
Wei Suo, Hanzu Zhang, Lijun Zhang, Ji Ma, PENG WANG, Yanning Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HardcoreLogic: Challenging Large Reasoning Models with Long-tail Logic Puzzle Games
Jingcong Liang, Shijun Wan, Xuehai Wu, Yitong Li, Qianglong Chen, Duyu Tang, Siyuan Wang, zhongyu wei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Harder Is Better: Boosting Mathematical Reasoning via Difficulty-Aware GRPO and Multi-Aspect Question Reformulation
Yanqi Dai, Yuxiang Ji, Xiao Zhang, Yong Wang, Xiangxiang Chu, Zhiwu Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Harmonized Cone for Feasible and Non-conflict Directions in Training Physics-Informed Neural Networks
Dohyun Bu, Yujung Byun, JONGSEOK LEE
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HarmonyGNNs: Harmonizing Heterophily and Homophily in GNNs via Self-Supervised Node Encoding
Rui Xue, Tianfu Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Harnessing Hyperbolic Geometry for Harmful Prompt Detection and Sanitization
Igor Maljkovic, Maria Rosaria Briglia, Iacopo Masi, Antonio Emanuele Cinà, Fabio Roli
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Harnessing Temporal Databases for Systematic Evaluation of Factual Time-Sensitive Question-Answering in LLMs
Soyeon Kim, Jindong Wang, Xing Xie, Steven Whang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Harpoon: Generalised Manifold Guidance for Conditional Tabular Diffusion
Aditya Shankar, Yuandou Wang, Rihan Hai, Lydia Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Heads collapse, features stay: Why Replay needs big buffers
Giulia Lanzillotta, Damiano Meier, Thomas Hofmann
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Healthcare Insurance Fraud Detection via Continual Fiedler Vector Graph Model
Yehan Zhang, Huaidong Zhang, Xuandi Luo, Shengfeng He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hedonic Neurons: A Mechanistic Mapping of Latent Coalitions in Transformer MLPs
Tanya Chowdhury, Atharva Nijasure, Yair Zick, James Allan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Helix: Evolutionary Reinforcement Learning for Open-Ended Scientific Problem Solving
Chang Su, Zhongkai Hao, Zhizhou Zhang, Zeyu Xia, Youjia Wu, Hang Su, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Helmsman: Autonomous Synthesis of Federated Learning Systems via Collaborative LLM Agents
Haoyuan Li, Mathias Funk, Aaqib Saeed
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hessian-Enhanced Token Attribution (HETA): Interpreting Autoregressive LLMs
Vishal Pramanik, Maisha Maliha, Nathaniel Bastian, Sumit Jha
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Heterogeneous Agent Q-weighted Policy Optimization
Bor Jiun Lin, Chun-Yi Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Heterogeneous Federated Fine-Tuning with Parallel One-Rank Adaptation
Zikai Zhang, Rui Hu, Jiahao Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HeurekaBench: A Benchmarking Framework for AI Co-scientist
Siba Smarak Panigrahi, Jovana Videnović, Maria Brbic
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HeuriGym: An Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization
Hongzheng Chen, Yingheng Wang, Yaohui Cai, Hins Hu, Jiajie Li, Shirley Huang, Chenhui Deng, Rongjian Liang, Shufeng Kong, Haoxing Ren, Samitha Samaranayake, Carla Gomes, Zhiru Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Hey, That's My Model! Introducing Chain & Hash, An LLM Fingerprinting Technique
Mark Russinovich, Yanan Cai, Ahmed Salem
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HiCache: A Plug-in Scaled-Hermite Upgrade for Taylor-Style Cache-then-Forecast Diffusion Acceleration
Liang Feng, Shikang Zheng, Jiacheng Liu, Yuqi Lin, Qinming Zhou, Peiliang Cai, Xinyu Wang, Junjie Chen, Chang Zou, Yue Ma, Linfeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HiDrop: Hierarchical Vision Token Reduction in MLLMs via Late Injection, Concave Pyramid Pruning, and Early Exit
Hao Wu, Yingqi Fan, Dai Jinyang, Junlong Tong, Yunpu Ma, Xiaoyu Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HiFo-Prompt: Prompting with Hindsight and Foresight for LLM-based Automatic Heuristic Design
ChentongChen, Mengyuan Zhong, Jialong Shi, Jianyong Sun, Ye Fan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HiGS: History-Guided Sampling for Plug-and-Play Enhancement of Diffusion Models
Seyedmorteza Sadat, Farnood Salehi, Romann Weber
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HiMAE: Hierarchical Masked Autoencoders Discover Resolution-Specific Structure in Wearable Time Series
Simon Lee, Cyrus Tanade, Hao Zhou, Juhyeon Lee, Megha Thukral, Md. Sazzad Hissain Khan, Keum San Chun, Baiying Lu, Migyeong Gwak, Mehrab Bin Morshed, Viswam Nathan, Mahbubur Rahman, Li Zhu, Subramaniam Venkatraman, Sharanya Desai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HiPO: Self-Hint Policy Optimization for RLVR
Deng Qiyuan, Kehai Chen, Min Zhang, Zhongwen Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
HiPRAG: Hierarchical Process Rewards for Efficient Agentic Retrieval Augmented Generation
Peilin Wu, Mian Zhang, Kun Wan, Wentian Zhao, Kaiyu He, Xinya Du, Zhiyu Chen
Machine Learning
日本大学: 関与なし（対象大学）