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
FACT: Fine-grained Across-variable Convolution for Multivariate Time Series Forecasting
Huiqiang Wang, Jieming Shi, Qing Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FACT: a first-principles alternative to the Neural Feature Ansatz for how networks learn representations
Enric Adserà, Neil Mallinar, James Simon, Misha Belkin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FALCON: Few-step Accurate Likelihoods for Continuous Flows
Danyal Rehman, Tara Akhound-Sadegh, Artem Gazizov, Yoshua Bengio, Alexander Tong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FAME: Formal Abstract Minimal Explanation for Neural Networks
Ryma Boumazouza, Raya Elsaleh, Melanie Ducoffe, Shahaf Bassan, Guy Katz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FAPO: Flawed-Aware Policy Optimization for Efficient and Reliable Reasoning
Yuyang Ding, Chi Zhang, Juntao Li, Haibin Lin, Xin Liu, Min Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FARI: Robust One-Step Inversion for Watermarking in Diffusion Models
Jindong Yang, Han Fang, Weiming Zhang, Nenghai Yu, Kejiang Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FARTrack: Fast Autoregressive Visual Tracking with High Performance
Guijie Wang, Tong Lin, Yifan Bai, Anjia Cao, Shiyi Liang, Wangbo Zhao, Xing Wei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FASA: FREQUENCY-AWARE SPARSE ATTENTION
Yifei Wang, Yueqi Wang, Zhenrui Yue, Huimin Zeng, Yong Wang, Ismini Lourentzou, Zhengzhong Tu, Xiangxiang Chu, Julian McAuley
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FASTer: Toward Powerful and Efficient Autoregressive Vision–Language–Action Models with Learnable Action Tokenizer and Block-wise Decoding
Yicheng Liu, Shiduo Zhang, Zibin Dong, Baijun Ye, Tianyuan Yuan, Xiaopeng Yu, Linqi Yin, Chenhao Lu, Junhao Shi, Luca Jiang-Tao Yu, Liangtao Zheng, Jingjing Gong, Tao Jiang, Xipeng Qiu, Hang Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FAST‑DIPS: Adjoint‑Free Analytic Steps and Hard‑Constrained Likelihood Correction for Diffusion‑Prior Inverse Problems
Minwoo Kim, Seunghyeok Shin, Hongki Lim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FATE: A Formal Benchmark Series for Frontier Algebra of Multiple Difficulty Levels
Jiedong Jiang, Wanyi He, Wang Yuefeng, Guoxiong Gao, Yongle Hu, Jingting Wang, Nailin Guan, Peihao Wu, Bryan Dai, Liang Xiao, Bin Dong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FERD: Fairness-Enhanced Data-Free Adversarial Robustness Distillation
Zhengxiao Li, Liming Lu, Xu Zheng, Si-Yuan Liang, Taric Chen, Yongbin Zhou, Shuchao Pang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FETAL-GAUGE: A BENCHMARK FOR ASSESSING VISION-LANGUAGE MODELS IN FETAL ULTRASOUND
Hussain Alasmawi, Numan Saeed, Mohammad Yaqub
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FHE-Coder: Benchmarking Secure Agentic Code Generation for Fully Homomorphic Encryption
Mayank Kumar, Jiaqi Xue, Mengxin Zheng, Qian Lou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FIRE: Frobenius-Isometry Reinitialization for Balancing the Stability–Plasticity Tradeoff
Isaac Han, Sangyeon Park, Seungwon Oh, Donghu Kim, Hojoon Lee, KyungJoong Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FLARE: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding
Zheng Liu, Mengjie Liu, Jingzhou Chen, Jingwei Xu, Bin CUI, Conghui He, Wentao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark
Rongyao Fang, Aldrich Yu, Chengqi Duan, Linjiang Huang, Shuai Bai, Yuxuan Cai, Kun Wang, Si Liu, Xihui Liu, Hongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FLoC: Facility Location-Based Efficient Visual Token Compression for Long Video Understanding
Janghoon Cho, Jungsoo Lee, Munawar Hayat, Kyuwoong Hwang, Fatih Porikli, Sungha Choi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FLoRG: Federated Fine-tuning with Low-rank Gram Matrices and Procrustes Alignment
Chuiyang Meng, Ming Tang, Vincent Wong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics
David Park, Shuhang Li, Yi Huang, Xihaier Luo, Haiwang Yu, Yeonju Go, Christopher Pinkenburg, YUEWEI LIN, Shinjae Yoo, Joseph Osborn, Jin Huang, Yihui Ren
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FMIP: Joint Continuous-Integer Flow For Mixed-Integer Linear Programming
Hongpei Li, Hui Yuan, Han Zhang, Jianghao Lin, Dongdong Ge, Mengdi Wang, Yinyu Ye
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FOCUS: Efficient Keyframe Selection for Long Video Understanding
Zirui Zhu, Hailun Xu, Yang Luo, LIU YONG, Kanchan Sarkar, Zhenheng Yang, Yang You
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FRABench and UFEval: Unified Fine-grained Evaluation with Task and Aspect Generalization
Shibo Hong, jiahao ying, Haiyuan Liang, Mengdi Zhang, Jun Kuang, Jiazheng Zhang, Yixin Cao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FREAK: A Fine-grained Hallucination Evaluation Benchmark for Advanced MLLMs
Zhihan Yin, Jianxin Liang, Yueqian Wang, Yao Yifeng, Huishuai Zhang, Dongyan Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FRIEDA: Benchmarking Multi-Step Cartographic Reasoning in Vision-Language Models
Jiyoon Pyo, Yuankun Jiao, Dongwon Jung, Zekun Li, Leeje Jang, Sofia Kirsanova, Jina Kim, Yijun Lin, Qin Liu, Junyi Xie, Hadi Askari, Nan Xu, Muhao Chen, Yao-Yi Chiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FROST: Filtering Reasoning Outliers with Attention for Efficient Reasoning
Haozheng Luo, Zhuolin Jiang, Md Zahid Hasan, Yan Chen, Soumalya Sarkar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models
Amin Karimi Monsefi, Nikhil Bhendawade, Manuel Ciosici, Dominic Culver, Yizhe Zhang, Irina Belousova
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FS-KAN: Permutation Equivariant Kolmogorov-Arnold Networks via Function Sharing
Ran Elbaz, Guy Bar-Shalom, Yam Eitan, Fabrizio Frasca, Haggai Maron
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FSA: An Alternative Efficient Implementation of Native Sparse Attention Kernel
Ran Yan, YOUHE JIANG, Zhuoming Chen, Haohui Mai, Beidi Chen, Binhang Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FSD-CAP: Fractional Subgraph Diffusion with Class-Aware Propagation for Graph Feature Imputation
Xin Qiao, Shijie Sun, Anqi Dong, Cong Hua, Xia Zhao, Longfei Zhang, Guangming Zhu, zhang liang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FSOD-VFM: Few-Shot Object Detection with Vision Foundation Models and Graph Diffusion
Chen-Bin Feng, Youyang Sha, Longfei Liu, Yongjun YU, Chi-Man VONG, Xuanlong Yu, Xi SHEN
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FSPO: Few-Shot Optimization of Synthetic Preferences Effectively Personalizes to Real Users
Anikait Singh, Sheryl Hsu, Kyle Hsu, Eric Mitchell, Stefano Ermon, Tatsunori Hashimoto, Archit Sharma, Chelsea Finn
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FZOO: Fast Zeroth-Order Optimizer for Fine‑Tuning Large Language Models towards Adam‑Scale Speed
Sizhe Dang, yangyangGuo, Yanjun Zhao, Xiaodong Zheng, Guang Dai, Ivor Tsang, Haishan Ye
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FaLW: A Forgetting-aware Loss Reweighting for Long-tailed Unlearning
Liheng Yu, Zhe Zhao, Yuxuan Wang, Pengkun Wang, Xiaofeng Cao, Binwu Wang, Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FaSTA*: Fast-Slow Toolpath Agent with Subroutine Mining for Efficient Multi-turn Image Editing
Advait Gupta, Rishie Raj, Dang Nguyen, Tianyi Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Factuality Matters: When Image Generation and Editing Meet Structured Visuals
Le Zhuo, Songhao Han, Yuandong Pu, Boxiang Qiu, Sayak Paul, Yue Liao, Yihao Liu, Jie Shao, Xi Chen, Si Liu, Hongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fair Classification by Direct Intervention on Operating Characteristics
Kevin Jiang, Edgar Dobriban
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fair Conformal Classification via Learning Representation-Based Groups
Senrong Xu, Yanke Zhou, Yuhao Tan, Zenan Li, Yuan Yao, Taolue Chen, Feng Xu, Xiaoxing Ma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fair Decision Utility in Human-AI Collaboration: Interpretable Confidence Adjustment for Humans with Cognitive Disparities
Jiashi Gao, Kexin Liu, Xinwei Guo, Junlei Zhou, Jiaxin Zhang, Xiangyu Zhao, Guanhua Chen, Xin Yao, Xuetao Wei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fair Graph Machine Learning under Adversarial Missingness Processes
Debolina Halder Lina, Arlei Silva
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fair Reinforcement Learning for Just AI
Ezgi Korkmaz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fair in Mind, Fair in Action? A Synchronous Benchmark for Understanding and Generation in UMLLMs
Yiran Zhao, Lu Zhou, Xiaogang Xu, Zhe Liu, Jiafei Wu, Liming Fang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fairness via Independence: A General Regularization Framework for Machine Learning
Yezi Liu, Hanning Chen, Wenjun Huang, Yang Ni, Mohsen Imani
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fairness-Aware Multi-view Evidential Learning with Adaptive Prior
Haishun Chen, Cai Xu, Jinlong Yu, Yilin Zhang, Ziyu Guan, Wei Zhao, Fangyuan Zhao, Xin Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FaithCoT-Bench: Benchmarking Instance-Level Faithfulness of Chain-of-Thought Reasoning
Xu Shen, Song Wang, Zhen Tan, Laura Yao, Xinyu Zhao, Kaidi Xu, Xin Wang, Tianlong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Faithful Bi-Directional Model Steering via Distribution Matching and Distributed Interchange Interventions
Yuntai Bao, Xuhong Zhang, Jintao Chen, Ge Su, Yuxiang Cai, Hao Peng, SUN Bing, Haiqin Weng, Liu Yan, Jianwei Yin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Faithfulness Under the Distribution: A New Look at Attribution Evaluation
Zhiyu Zhu, Zhibo Jin, Jiayu Zhang, Bartlomiej Sobieski, Przemyslaw Biecek, Fang Chen, Jianlong Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FakeXplain: AI-Generated Image Detection via Human-Aligned Grounded Reasoning
Yikun Ji, Yan Hong, Qi Fan, jun lan, Huijia Zhu, Weiqiang Wang, Liqing Zhang, Jianfu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Falcon: Fast Proximal Linearization of Normalized Cuts for Unsupervised Image Segmentation
Xiao Zhang, Xiangyu Han, Xiwen Lai, Yao Sun, Pei Zhang, Xia Liu, Konrad P Kording
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fantastic Pretraining Optimizers and Where to Find Them
Kaiyue Wen, David Hall, Tengyu Ma, Percy Liang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fantastic Tractor-Dogs and How Not to Find Them With Open-Vocabulary Detectors
Frank Ruis, Gertjan J Burghouts, Hugo J. Kuijf
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FantasyWorld: Geometry-Consistent World Modeling via Unified Video and 3D Prediction
Yixiang Dai, Fan Jiang, Chiyu Wang, Mu Xu, Yonggang Qi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fast Catch-Up, Late Switching: Optimal Batch Size Scheduling via Functional Scaling Laws
Jinbo Wang, Binghui Li, Zhanpeng Zhou, Mingze Wang, yuxuan sun, Jiaqi Zhang, Xunliang Cai, Lei Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fast Convergence of Natural Gradient Descent for Over-parameterized Physics-Informed Neural Networks
Xianliang Xu, Wang Kong, Jiaheng Mao, Zhongyi Huang, Ye Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fast Data Mixture Optimization via Gradient Descent
Haoru Tan, Sitong Wu, Yanfeng Chen, Jun Xia, Ruobing Xie, Bin Xia, Samm Sun, XIAOJUAN QI
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fast Escape, Slow Convergence: Learning Dynamics of Phase Retrieval under Power-Law Data
Guillaume Braun, Bruno Loureiro, Minh Ha Quang, Masaaki Imaizumi
Machine Learning
日本大学: 東京大学
2026 · ICLR
Fast Estimation of Wasserstein Distances via Regression on Sliced Wasserstein Distances
Khai Nguyen, Hai Nguyen, Nhat Ho
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fast Frank–Wolfe Algorithms with Adaptive Bregman Step-Size for Weakly Convex Functions
Shota Takahashi, Sebastian Pokutta, Akiko Takeda
Machine Learning
日本大学: 東京大学
2026 · ICLR
Fast Proteome-Scale Protein Interaction Retrieval via Residue-Level Factorization
Jianan Zhao, Zhihao Zhan, Narendra Chaudhary, Xinyu Yuan, Zuobai Zhang, Qian Cong, Jian Zhou, Sanchit Misra, Jian Tang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fast and Interpretable Protein Substructure Alignment via Optimal Transport
Zhiyu Wang, Bingxin Zhou, Weishu Zhao, Yang Tan, Jing Wang, Pietro Lio, liang hong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fast and Stable Riemannian Metrics on SPD Manifolds via Cholesky Product Geometry
Ziheng Chen, Yue Song, Xiaojun Wu, Nicu Sebe
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fast training of accurate physics-informed neural networks without gradient descent
Chinmay Datar, Taniya Kapoor, Abhishek Chandra, Qing Sun, Erik L. Bolager, Iryna Burak, Anna Veselovska, Massimo Fornasier, Felix Dietrich
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fast-dLLM v2: Efficient Block-Diffusion LLM
Chengyue Wu, Hao Zhang, Shuchen Xue, Shizhe Diao, Yonggan Fu, Zhijian Liu, Pavlo Molchanov, Ping Luo, Song Han, Enze Xie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding
Chengyue Wu, Hao Zhang, Shuchen Xue, Zhijian Liu, Shizhe Diao, Ligeng Zhu, Ping Luo, Song Han, Enze Xie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FastAvatar: Towards Unified and Fast 3D Avatar Reconstruction with Large Gaussian Reconstruction Transformers
Yue Wu, Xuanhong Chen, Yufan Wu, Wen Li, Yuxi Lu, Kairui Feng
Machine Learning
日本大学: 千葉大学
2026 · ICLR
FastFlow: Accelerating The Generative Flow Matching Models with Bandit Inference
Divya Jyoti Bajpai, Dhruv Bhardwaj, Soumya Roy, Tejas Duseja, Harsh Agarwal, Aashay Sandansing, Manjesh Kumar Hanawal
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FastGHA: Generalized Few-Shot 3D Gaussian Head Avatars with Real-Time Animation
Xinya Ji, Sebastian Weiss, Manuel Kansy, Jacek Naruniec, Xun Cao, Barbara Solenthaler, Derek Bradley
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FastGRPO: Accelerating Policy Optimization via Concurrency-aware Speculative Decoding and Online Draft Learning
Yizhou Zhang, Ning Lv, Teng Wang, Jisheng Dang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FastVGGT: Fast Visual Geometry Transformer
You Shen, Zhipeng Zhang, Yansong Qu, Xiawu Zheng, Jiayi Ji, Shengchuan Zhang, Liujuan Cao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FastVMT: Eliminating Redundancy in Video Motion Transfer
Yue Ma, Zhikai Wang, Tianhao Ren, Mingzhe Zheng, Hongyu Liu, Jiayi Guo, Kunyu Feng, Yuxuan Xue, Zixiang Zhao, Konrad Schindler, Qifeng Chen, Linfeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fastcar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge
Xuan Shen, Weize Ma, Yufa Zhou, Enhao Tang, Yanyue Xie, Zhengang Li, Yifan Gong, Quanyi Wang, Henghui Ding, Yiwei Wang, Pu Zhao, Jun Lin, Jiuxiang Gu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Faster Gradient Methods for Highly-smooth Stochastic Bilevel Optimization
Lesi Chen, Junru Li, EL MAHDI CHAYTI, Jingzhao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Faster Vision Transformers with Adaptive Patches
Rohan Choudhury, JungEun Kim, Jinhyung Park, Eunho Yang, Laszlo A. Jeni, Kris Kitani
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fathom-DeepResearch: Unlocking Long Horizon Information Retrieval and Synthesis for SLMs
Shreyas Singh, Kunal Singh, Pradeep Moturi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FeDaL: Federated Dataset Learning for General Time Series Foundation Models
Shengchao Chen, Guodong Long, Michael Blumenstein, Jing Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Feature compression is the root cause of adversarial fragility in neural networks
Jingchao Gao, Ziqing Lu, Raghu Mudumbai, Xiaodong Wu, Jirong Yi, Myung Cho, Catherine Xu, Hui Xie, Weiyu Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Feature segregation by signed weights in artificial vision systems and biological models
Giordano Ramos-Traslosheros, Carlos Ponce
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FeatureBench: Benchmarking Agentic Coding for Complex Feature Development
Qixing Zhou, JiaCheng Zhang, Haiyang Wang, Rui Hao, Jiahe Wang, Minghao Han, Yuxue Yang, Shuzhe Wu, Feiyang Pan, Lue Fan, Dandan Tu, Zhaoxiang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Features Emerge as Discrete States: The First Application of SAEs to 3D Representations
Albert Miao, Chenliang Zhou, Jiawei Zhou, Cengiz Oztireli
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fed-Duet: Dual Expert-Orchestrated Framework for Continual Federated Vision-Language Learning
Tao GUO, Junwei Chen, Laizhong Cui
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FedDAG: Clustered Federated Learning via Global Data and Gradient Integration for Heterogeneous Environments
Anik Pramanik, Murat Kantarcioglu, Vincent Oria, Shantanu Sharma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FedMC: Federated Manifold Calibration
Yanbiao Ma, Wei Dai, Gaoyang Jiang, wanyi Chen, Chenyue Zhou, Yiwei Zhang, Fei Luo, Junhao Wang, Andi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FedMuon: Federated Learning with Bias-corrected LMO-based Optimization
Yuki Takezawa, Anastasia Koloskova, Xiaowen Jiang, Sebastian Stich
Machine Learning
日本大学: 京都大学
2026 · ICLR
FedOpenMatch: Towards Semi-Supervised Federated Learning in Open-Set Environments
Hongquan Liu, ChenyuGuo Guo, Yixin Ren, Jihong Guan, Shuigeng Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Federated ADMM from Bayesian Duality
Thomas Möllenhoff, Siddharth Swaroop, Finale Doshi-Velez, Mohammad Emtiyaz Khan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Federated Graph-Level Clustering Network with Dual Knowledge Separation
Xiaobao Wang, Renda Han, Ronghao Fu, Di Jin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Federated Learning of Quantile Inference under Local Differential Privacy
Leheng Cai, Qirui Hu, Shuyuan Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Federated Learning with Profile Mapping under Distribution Shifts and Drifts
Mohan Li, Dario Fenoglio, Martin Gjoreski, Marc Langheinrich
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Feedback-driven recurrent quantum neural network universality
Lukas Gonon, Rodrigo Martínez-Peña, Juan-Pablo Ortega
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fewer Battles, More Gain: An Information-Efficient Framework for Arena-based LLM Evaluation
Zirui Liu, Xianquan Wang, Yan Zhuang, Jiatong Li, Qi Liu, Shuanghong Shen, Mingyue Cheng, Shijin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fewer Weights, More Problems: A Practical Attack on LLM Pruning
Kazuki Egashira, Robin Staab, Thibaud Gloaguen, Mark Vero, Martin Vechev
Machine Learning
日本大学: 東京大学
2026 · ICLR
FictionalQA: A Dataset for Studying Memorization and Knowledge Acquisition
John Kirchenbauer, Natjanan Mongkolsupawan, Yuxin Wen, Tom Goldstein, Daphne Ippolito
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FideDiff: Efficient Diffusion Model for High-Fidelity Image Motion Deblurring
Xiaoyang Liu, Zhengyan Zhou, Zihang Xu, Jiezhang Cao, Zheng Chen, Yulun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FieryGS: In-the-Wild Fire Synthesis with Physics-Integrated Gaussian Splatting
Qianfan Shen, Ningxiao Tao, Qiyu Dai, Tianle Chen, Minghan Qin, Yongjie Zhang, Mengyu Chu, Wenzheng Chen, Baoquan Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Figma2Code: Automating Multimodal Design to Code in the Wild
Yi Gui, Jiawan Zhang, Yina Wang, Tianran Ma, Yao Wan, Shilin He, Dongping Chen, Zhou Zhao, Wenbin Jiang, Xuanhua Shi, Hai Jin, Philip Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FilMaster: Bridging Cinematic Principles and Generative AI for Automated Film Generation
Kaiyi Huang, Yukun Huang, Xintao WANG, Zinan Lin, Xuefei Ning, Pengfei Wan, Di ZHANG, Yu Wang, Xihui Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
FinSearchComp: Towards a Realistic, Expert-Level Evaluation of Financial Search and Reasoning
LIANG HU, Jianpeng Jiao, Jiashuo Liu, Dongyuan Mutu, Yanle Ren, Zhoufutu Wen, Kaiyuan Zhang, Xuanliang Zhang, Xiang Gao, Tianci He, FEI HU, Yali Liao, Zaiyuan Wang, Jingkai Liu, Sun Daibin, Ziqing Zeng, zhiyuan zeng, Chenghao Yang, Qianyu Yang, Mingren Yin, Ge Zhang, Xinyi zhang, Xiying ZHAO, Zhu Zhenwei, Hongseok Namkoong, Wenhao Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fine-Grained Activation Steering: Steering Less, Achieving More
Zijian Feng, Tianjiao Li, Zixiao Zhu, Hanzhang Zhou, Junlang Qian, Li Zhang, Chua Deryl, Lee Mak, Gee Ng, Kezhi Mao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fine-Grained Class-Conditional Distribution Balancing for Debiased Learning
Miaoyun Zhao, Qiang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Fine-Grained Iterative Adversarial Attacks with Limited Computation Budget
Zhichao Hou, Weizhi Gao, Xiaorui Liu
Machine Learning
日本大学: 関与なし（対象大学）