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
Fine-Grained Privacy Extraction from Retrieval-Augmented Generation Systems by Exploiting Knowledge Asymmetry
Yufei Chen, Yao Wang, Haibin Zhang, Tao Gu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fine-R1: Make Multi-modal LLMs Excel in Fine-Grained Visual Recognition by Chain-of-Thought Reasoning
Hulingxiao He, Zijun Geng, Yuxin Peng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fine-Tuning Diffusion Models via Intermediate Distribution Shaping
Gautham Anil, Shaan Ul Haque, Nithish Kannen, Dheeraj Nagaraj, Sanjay Shakkottai, Karthikeyan Shanmugam
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fine-tuning Behavioral Cloning Policies with Preference‑Based Reinforcement Learning
Mael Macuglia, Paul Friedrich, Giorgia Ramponi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fine-tuning Done Right in Model Editing
Wanli Yang, Rui Tang, Hongyu Zang, Du Su, Qi Cao, Jingang Wang, Huawei Shen, Xueqi Cheng, Fei Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fine-tuning Quantized Neural Networks with Zeroth-order Optimization
Sifeng SHANG, JIAYI ZHOU, Chenyu Lin, Minxian Li, Kaiyang Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FingerTip 20K: A Benchmark for Proactive and Personalized Mobile LLM Agents
Qinglong Yang, Haoming Li, Haotian Zhao, Xiaokai Yan, Jingtao Ding, Fengli Xu, Yong Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fingerprinting Deep Neural Networks for Ownership Protection: An Analytical Approach
Guang Yang, Ziye Geng, Yihang Chen, Changqing Luo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Finite-Time Analysis of Actor-Critic Methods with Deep Neural Network Approximation
Xuyang Chen, Fengzhuo Zhang, Keyu Yan, Lin Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Finite-Time Convergence Analysis of ODE-based Generative Models for Stochastic Interpolants
Yuhao Liu, Yu Chen, Rui Hu, Longbo Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
First is Not Really Better Than Last: Evaluating Layer Choice and Aggregation Strategies in Language Model Data Influence Estimation
Dmytro Vitel, Anshuman Chhabra
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fisher-Rao Sensitivity for Out-of-Distribution Detection in Deep Neural Networks
Anthony Nguyen, Antonin Bertrand, Sylvie Le Hégarat-Mascle, Emanuel Aldea, Mohammed EL-KORSO, Renaud LUSTRAT, Franck FLORIN
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fixing the Broken Compass: Diagnosing and Improving Inference-Time Reward Modeling
Jiachun Li, Pengfei Cao, Zhuoran Jin, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Flash-Mono: Feed-Forward Accelerated Gaussian Splatting Monocular SLAM
Zicheng Zhang, Ke Wu, Xiangting Meng, Keyu Liu, Jieru Zhao, Wenchao Ding
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Flash-Searcher: Fast and Effective Web Agents via DAG-Based Parallel Execution
Tianrui Qin, Qianben Chen, Sinuo Wang, He Xing, Zhu, He Zhu, Dingfeng Shi, Xinxin Liu, Ge Zhang, JIAHENG LIU, Xitong Gao, Yuchen Jiang, Wangchunshu Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FlashDLM: Accelerating Diffusion Language Model Inference via Efficient KV Caching and Guided Diffusion
Zhanqiu Hu, Jian Meng, Yash Akhauri, Mohamed Abdelfattah, Jae-sun Seo, Zhiru Zhang, Udit Gupta
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FlashVID: Efficient Video Large Language Models via Training-free Tree-based Spatiotemporal Token Merging
Ziyang Fan, Keyu Chen, Ruilong Xing, Yulin Li, Li Jiang, Zhuotao Tian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FlashWorld: High-quality 3D Scene Generation within Seconds
Xinyang Li, Tengfei Wang, Zixiao Gu, Shengchuan Zhang, Chunchao Guo, Liujuan Cao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Flatness Guided Test-Time Adaptation for Vision-Language Models
aodi Li, Liansheng Zhuang, Xiao Long, Houqiang Li, Shafei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Flatter Tokens are More Valuable for Speculative Draft Model Training
Jiaming Fan, CAO DAMING, Xiangzhong Luo, Jiale Fu, CHONGHAN LIU, xu yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Flattery, Fluff, and Fog: Diagnosing and Mitigating Idiosyncratic Biases in Preference Models
Anirudh Bharadwaj, Chaitanya Malaviya, Nitish Joshi, Mark Yatskar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FlexHiNM-GP: Flexible Hierarchical Pruning via Region Allocation and Channel Permutation
XIAODIE YI, Hayun Lee, Dongkun Shin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FlexLinearAttention: Compiling a Unified Abstraction into Scalable Kernels for Linear Attention
Haojie Duanmu, Size Zheng, Ningxin Zheng, Jianqiao Lu, Xuegui Zheng, Xingcheng Zhang, Li-Wen Chang, Xin Liu, Dahua Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FlexLoRA: Entropy-Guided Flexible Low-Rank Adaptation
Muqing Liu, Chongjie Si, Yuheng Jia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FlexRibbon: Joint Sequence and Structure Pretraining for Protein Modeling
Jianwei Zhu, Yu Shi, Ran Bi, Peiran Jin, Chang Liu, Zhe Zhang, Haitao Huang, Zekun Guo, Pipi Hu, Fusong Ju, Lin Huang, Xinwei Tai, Chenao Li, Kaiyuan Gao, Xinran Wei, Huanhuan Xia, Jia Zhang, Yaosen Min, Zun Wang, Yusong Wang, Liang He, Haiguang Liu, Tao Qin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FlexiCodec: A Dynamic Neural Audio Codec for Low Frame Rates
Jiaqi Li, Yao Qian, Yuxuan Hu, leying zhang, Xiaofei Wang, Heng Lu, Manthan Thakker, Jinyu Li, sheng zhao, Zhizheng Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FlexiVoice: Enabling Flexible Style Control in Zero-Shot TTS with Natural Language Instructions
DEKUN CHEN, Xueyao Zhang, Yuancheng Wang, Kenan Dai, Li Ma, Zhizheng Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Flipping the Dialogue: Training and Evaluating User Language Models
Tarek Naous, Philippe Laban, Wei Xu, Jennifer Neville
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Flock: A Knowledge Graph Foundation Model via Learning on Random Walks
Jinwoo Kim, Xingyue Huang, Krzysztof Olejniczak, Kyungbin Min, Michael Bronstein, Seunghoon Hong, Ismail I Ceylan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Flow Actor-Critic for Offline Reinforcement Learning
Jongseong Chae, Jongeui Park, Yongjae Shin, Gyeongmin Kim, Seungyul Han, Youngchul Sung
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Flow Along the $K$-Amplitude for Generative Modeling
weitao du, Jiasheng Tang, Shuning Chang, Yu Rong, Fan Wang, Shengchao Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Flow Autoencoders are Effective Protein Tokenizers
Rohit Dilip, Evan Zhang, Ayush Varshney, David Van Valen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Flow Caching for Autoregressive Video Generation
Yuexiao Ma, Xuzhe Zheng, Jing Xu, Xiwei Xu, Feng Ling, Xiawu Zheng, Huafeng Kuang, Huixia Li, XING WANG, Xuefeng Xiao, Fei Chao, Rongrong Ji
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Flow Map Learning Via Non-Gradient Vector Flow
Mark Goldstein, Anshuk Uppal, Raghav Singhal, Aahlad Manas Puli, Rajesh Ranganath
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Flow Matching Policy Gradients
David McAllister, Songwei Ge, Brent Yi, Chung Min Kim, Ethan Weber, Hongsuk Choi, Haiwen Feng, Angjoo Kanazawa
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Flow Matching with Injected Noise for Offline-to-Online Reinforcement Learning
Yongjae Shin, Jongseong Chae, Jongeui Park, Youngchul Sung
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Flow Matching with Semidiscrete Couplings
Alireza Mousavi-Hosseini, Stephen Zhang, Michal Klein, marco cuturi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Flow Straight and Fast in Hilbert Space: Functional Rectified Flow
Jianxin Zhang, Clayton Scott
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Flow of Spans: Generalizing Language Models to Dynamic Span-Vocabulary via GFlowNets
Bo Xue, Yunchong Song, Fanghao Shao, Xuekai Zhu, Lin Chen, Luoyi Fu, Xinbing Wang, Zhouhan Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Flow-Based Single-Step Completion for Efficient and Expressive Policy Learning
Prajwal Koirala, Cody Fleming
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Flow-Disentangled Feature Importance
Xingshu Chen, Yifeng Guo, Jin-Hong Du
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Flow-based Conformal Prediction for Multi-dimensional Time Series
Junghwan Lee, Chen Xu, Yao Xie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Flow2GAN: Hybrid Flow Matching and GAN with Multi-Resolution Network for Few-step High-Fidelity Audio Generation
Zengwei Yao, Wei Kang, Han Zhu, Liyong Guo, Lingxuan Ye, Fangjun Kuang, Weiji Zhuang, Zhaoqing Li, Zhifeng Han, Long Lin, Daniel Povey
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FlowAD: Ego-Scene Interactive Modeling for Autonomous Driving
Mingzhe Guo, Yixiang Yang, Chuanrong Han, Rufeng Zhang, Shirui Li, Ji Wan, Zhipeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FlowAlign: Trajectory-Regularized, Inversion-Free Flow-based Image Editing
Jeongsol Kim, Yeobin Hong, Jonghyun Park, Jong Chul YE
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FlowBind: Efficient Any-to-Any Generation with Bidirectional Flows
Yeonwoo Cha, Semin Kim, Jinhyeon Kwon, Seunghoon Hong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FlowCast: Advancing Precipitation Nowcasting with Conditional Flow Matching
Bernardo Perrone Ribeiro, Jana Faganeli Pucer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FlowCast: Trajectory Forecasting for Scalable Zero-Cost Speculative Flow Matching
Divya Jyoti Bajpai, Shubham Agarwal, Apoorv Saxena, Kuldeep Sharad Kulkarni, Subrata Mitra, Manjesh Kumar Hanawal
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FlowGen: Synthesizing Diverse Flowcharts to Enhance and Benchmark MLLM Reasoning
Kaiwen Shi, Sichen Liu, Ziyue Lin, Hangrui Guo, Gong Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FlowNIB: An Information Bottleneck Analysis of Bidirectional vs. Unidirectional Language Models
Md Kowsher, Nusrat Prottasha, Shiyun Xu, Shetu Mohanto, Niloofar Yousefi, OZLEM GARIBAY, Chen Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FlowRL: Matching Reward Distributions for LLM Reasoning
Xuekai Zhu, Daixuan Cheng, Dinghuai Zhang, Henry Li, Kaiyan Zhang, Che Jiang, Youbang Sun, Ermo Hua, Yuxin Zuo, Xingtai Lv, Qizheng Zhang, Lin Chen, Fanghao Shao, Bo Xue, Yunchong Song, Zhenjie Yang, Ganqu Cui, Ning Ding, Jianfeng Gao, Xiaodong Liu, Bowen Zhou, Hongyuan Mei, Zhouhan Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FlowSearcher: Synthesizing Memory-Guided Agentic Workflows for Web Information Seeking
Keyi Xiang, Zeyu Feng, Zhuoyi Lin, YUEMING LYU, Boyuan Shi, Yew-Soon Ong, Ivor Tsang, Haiyan Yin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FlowSymm: Physics–Aware, Symmetry–Preserving Graph Attention for Network Flow Completion
Ege Demirci, Francesco Bullo, Ananthram Swami, Ambuj K Singh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Flower: A Flow-Matching Solver for Inverse Problems
Mehrsa Pourya, Bassam El Rawas, Michael Unser
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Flowing Through States: Neural ODE Regularization for Reinforcement Learning
Mohamed Ghanem, Bernd Finkbeiner
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fluent Alignment with Disfluent Judges: Post-training for lower-resource languages
David Samuel, Lilja Øvrelid, Erik Velldal, Andrey Kutuzov
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fly-CL: A Fly-Inspired Framework for Enhancing Efficient Decorrelation and Reduced Training Time in Pre-trained Model-based Continual Representation Learning
Heming Zou, Yunliang Zang, Wutong Xu, Xiangyang Ji
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FlyPrompt: Brain-Inspired Random-Expanded Routing with Temporal-Ensemble Experts for General Continual Learning
Hongwei Yan, Guanglong Sun, Kanglei Zhou, Qian Li, Liyuan Wang, Yi Zhong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FoNE: Precise Single-Token Number Embeddings via Fourier Features
Tianyi Zhou, Deqing Fu, Mahdi Soltanolkotabi, Robin Jia, Vatsal Sharan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Follow-Your-Preference: Towards Preference-Aligned Image Inpainting
Yutao Shen, Junkun Yuan, Toru Aonishi, Hideki Nakayama, Jack Ma
Machine Learning
日本大学: 東京大学
2026 · ICLR
Follow-Your-Shape: Shape-Aware Image Editing via Trajectory-Guided Region Control
Zeqian Long, Mingzhe Zheng, Kunyu Feng, Xinhua Zhang, Hongyu Liu, Harry Yang, Linfeng Zhang, Qifeng Chen, Yue Ma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Following the Navigation: Enhancing Small Language Models Contextual Reasoning with LLM Guidance
Xiaoqi Ni, Jie Wang, Lin Yang, Yiyang Lu, Hanzhu Chen, Rui Liu, Jianye Hao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fore-Mamba3D: Mamba-based Foreground-Enhanced Encoding for 3D Object Detection
Zhiwei Ning, Xuanang Gao, Jiaxi Cao, Runze Yang, Huiying Xu, Xinzhong Zhu, Jie Yang, Wei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Foresight Diffusion: Improving Sampling Consistency in Predictive Diffusion Models
Yu Zhang, Xingzhuo Guo, Haoran Xu, Jialong Wu, Mingsheng Long
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Forest-Based Graph Learning for Semi-Supervised Node Classification
Jin Li, Shenghao Gao, Kaichen Zhang, Xinlong Chen, Ying Sun, Hui Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ForestPersons: A Large-Scale Dataset for Under-Canopy Missing Person Detection
Deokyun Kim, Jeongjun Lee, Jungwon Choi, Jonggeon Park, Giyoung Lee, Yookyung Kim, Myungseok Ki, Juho Lee, Jihun Cha
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Forget Forgetting: Continual Learning in a World of Abundant Memory
Dongkyu Cho, Taesup Moon, Rumi Chunara, Kyunghyun Cho, Sungmin Cha
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Forget Many, Forget Right: Scalable and Precise Concept Unlearning in Diffusion Models
Kaiyuan Deng, Gen Li, Yang Xiao, Bo Hui, Xiaolong Ma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Formal Mechanistic Interpretability: Automated Circuit Discovery with Provable Guarantees
Itamar Hadad, Guy Katz, Shahaf Bassan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FormalML: A Benchmark for Evaluating Formal Subgoal Completion in Machine Learning Theory
Xiao-Wen Yang, Zihao Zhang, Jianuo Cao, Zhi Zhou, Zenan Li, Lan-Zhe Guo, Yuan Yao, Taolue Chen, Yu-Feng Li, Xiaoxing Ma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Formalising Human-in-the-Loop: Computational Reductions, Failure Modes, and Legal-Moral Responsibility
Maurice Chiodo, Dennis Müller, Paul Siewert, Jean-Luc Wetherall, Zoya Yasmine, John Burden
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Forward-Learned Discrete Diffusion: Learning how to noise to denoise faster
Grigory Bartosh, Teodora Pandeva, Sushrut Karmalkar, Javier Zazo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fostering Video Reasoning via Next-Event Prediction
Haonan Wang, Hongfu Liu, Xiangyan Liu, Chao Du, Kenji Kawaguchi, Ye Wang, Tianyu Pang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Foundation Models for Causal Inference via Prior-Data Fitted Networks
Yuchen Ma, Dennis Frauen, Emil Javurek, Stefan Feuerriegel
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Foundation Visual Encoders Are Secretly Few-Shot Anomaly Detectors
Guangyao Zhai, Yue Zhou, Xinyan Deng, Lars Heckler-Kram, Nassir Navab, Benjamin Busam
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Foundational Automatic Evaluators: Scaling Multi-Task Generative Evaluator Training for Reasoning-Centric Domains
Austin Xu, Xuan-Phi Nguyen, Yilun Zhou, Chien-Sheng Wu, Caiming Xiong, Shafiq Joty
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fractional-Order Spiking Neural Network
Chengjie Ge, Yufeng Peng, Zihao Li, Qiyu Kang, Xueyang Fu, Xuhao Li, Qixin ZHANG, Ren Junhao, Zheng-Jun Zha
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fracture-GS: Dynamic Fracture Simulation with Physics-Integrated Gaussian Splatting
Xiaogang Wang, Hongyu Wu, Wenfeng Song, Kai Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FragFM: Hierarchical Framework for Efficient Molecule Generation via Fragment-Level Discrete Flow Matching
Joongwon Lee, Seonghwan Kim, Seokhyun Moon, Hyunwoo Kim, Woo Youn Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Models
Sangwon Jang, Taekyung Ki, Jaehyeong Jo, Jaehong Yoon, Soo Ye Kim, Zhe Lin, Sung Ju Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FrameThinker: Learning to Think with Long Videos via Multi-Turn Frame Spotlighting
Zefeng He, Xiaoye Qu, Yafu Li, Siyuan Huang, Daizong Liu, Yu Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Frayed RoPE and Long Inputs: A Geometric Perspective
Davis Wertheimer, Aozhong Zhang, Derrick Liu, Penghang Yin, Naigang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Free Energy Mixer
Jiecheng Lu, Shihao Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Free Lunch for Stabilizing Rectified Flow Inversion
Chenru Wang, Beier Zhu, Chi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FreeAdapt: Unleashing Diffusion Priors for Ultra-High-Definition Image Restoration
Xiaoan Liu, Xinyi Liu, Yongjun Zhang, Yi Wan, Tingyun Li, Dongdong Yue
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FreeKV: Boosting KV Cache Retrieval for Efficient LLM Inference
Guangda Liu, Chengwei Li, Zhenyu Ning, Jing Lin, Yiwu Yao, Danning Ke, Minyi Guo, Jieru Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FreeViS: Training-free Video Stylization with Inconsistent References
Jiacong Xu, Yiqun Mei, Ke Zhang, Vishal Patel
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FreqKV: Key-Value Compression in Frequency Domain for Context Window Extension
Jushi Kai, Yixuan Wang, Boyi Zeng, Haoli Bai, Bo Jiang, Ziwei He, Zhouhan Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Frequency Bands in RoPE: Base Frequency and Context Length Shape the Interpolation–Extrapolation Trade-off
Yui Oka, Itsumi Saito, Kyosuke Nishida, Kuniko Saito
Machine Learning
日本大学: 東北大学
2026 · ICLR
Frequency-Balanced Retinal Representation Learning with Mutual Information Regularization
Seunghoon Lee, Seongjae Kang, Inhyuk Park, Gitaek Kwon, Jihyeon Baek, Doohyun Park
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Frequency-Domain Better than Time-Domain for Causal Structure Recovery in Dynamical Systems on Networks
Mohammed Tuhin Rana, Mishfad Shaikh Veedu, James Melbourne, Murti Salapaka
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Frequency-aware Dynamic Gaussian Splatting
Qiaowei Miao, JinSheng Quan, Kehan Li, Yichao Xu, Yi Yang, Yawei Luo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fresh in memory: Training-order recency is linearly encoded in language model activations
Dmitrii Krasheninnikov, Richard E Turner, David Krueger
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Abstract to Contextual: What LLMs Still Cannot Do in Mathematics
Bowen Cao, Dongdong Zhang, Yixia Li, Junpeng Liu, Shijue Huang, Chufan Shi, Hongyuan Lu, Yaokang Wu, Guanhua Chen, Wai Lam, Furu Wei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Assistant to Independent Developer — Are GPTs Ready for Software Development?
Dezhi Ran, Yuan Cao, Mengzhou Wu, Simin Chen, Yuzhe Guo, Jun Ren, Zihe Song, Hao Yu, Jialei Wei, Linyi Li, Wei Yang, Baishakhi Ray, Tao Xie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Assumptions to Actions: Turning LLM Reasoning into Uncertainty-Aware Planning for Embodied Agents
SeungWon Seo, SooBin Lim, SeongRae Noh, Haneul Kim, HyeongYeop Kang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Broad Exploration to Stable Synthesis: Entropy-Guided Optimization for Autoregressive Image Generation
Han Song, Yucheng Zhou, Jianbing Shen, Yu Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Cheap Geometry to Expensive Physics: A Physics-agnostic Pretraining Framework for Neural Operators
Zhizhou Zhang, Youjia Wu, Kaixuan Zhang, Yanjia Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Collapse to Control: Understanding and Extending Context Length in Emerging Hybrid Models via Universal Position Interpolation
Haochen Shen, Davis Wertheimer, Zheng Wang, Garrett Goon, Derrick Liu, Naigang Wang, Mudhakar Srivatsa, Raghu Ganti, Minjia Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
From Concepts to Components: Concept-Agnostic Attention Module Discovery in Transformers
Jingtong Su, Julia Kempe, Karen Ullrich
Machine Learning
日本大学: 関与なし（対象大学）