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
Autoregressive Visual Decoding from EEG Signals
Sicheng Dai, Hongwang Xiao, Shan Yu, Qiwei Ye
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Autoregressive-based Progressive Coding for Ultra-Low Bitrate Image Compression
Ziyuan Zhang, Yichong Xia, Bin Chen, Tianwei Zhang, Hao Wang, Han Qiu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Avey-B
Devang Acharya, Mohammad Hammoud
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Avoid Catastrophic Forgetting with Rank-1 Fisher from Diffusion Models
Zekun Wang, Anant Gupta, Zihan Dong, Christopher MacLellan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language Models
Yupeng Chang, Yi Chang, Yuan Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Digital Behavioural Change
Manuela González-González, Soufiane Belharbi, Muhammad Zeeshan, Masoumeh Sharafi, Muhammad Haseeb Aslam, Marco Pedersoli, Alessandro Lameiras Koerich, Simon L Bacon, Eric Granger
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
BANZ-FS: BANZSL Fingerspelling Dataset
Xin Shen, Yan Ke, Xinyu Wang, Xin Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping
Zhiheng Xi, Xin Guo, Yang Nan, Enyu Zhou, Junrui Shen, Wenxiang Chen, Jiaqi Liu, Jixuan Huang, Xun Deng, Zhihao Zhang, Honglin Guo, Zhikai Lei, Miao Zheng, Guoteng Wang, Peng Sun, Rui Zheng, Hang Yan, Tao Gui, Qi Zhang, Xuanjing Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
BAR: Refactor the Basis of Autoregressive Visual Generation
Zhicong Tang, Dong Chen, Jianmin Bao, Baining Guo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs
Junxiao Yang, Jinzhe Tu, Haoran Liu, Xiaoce Wang, Chujie Zheng, Zhexin Zhang, Shiyao Cui, Caishun Chen, Tiantian He, Hongning Wang, Yew-Soon Ong, Minlie Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
BEAT: Visual Backdoor Attacks on VLM-based Embodied Agents via Contrastive Trigger Learning
Qiusi Zhan, Hyeonjeong Ha, Rui Yang, Sirui Xu, Hanyang Chen, Liang-Yan Gui, Yu-Xiong Wang, Huan Zhang, Heng Ji, Daniel Kang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design
Deepro Choudhury, Sinead Williamson, Adam Golinski, Ning Miao, Freddie Bickford Smith, Michael Kirchhof, Yizhe Zhang, Tom Rainforth
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
BEP: A Binary Error Propagation Algorithm for Binary Neural Networks Training
Luca Colombo, Fabrizio Pittorino, Daniele Zambon, Carlo Baldassi, Manuel Roveri, Cesare Alippi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
BFM-Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning
Yitang Li, Zhengyi Luo, Tonghe Zhang, Cunxi Dai, Anssi Kanervisto, Andrea Tirinzoni, Haoyang Weng, Kris Kitani, Mateusz Guzek, Ahmed Touati, Alessandro Lazaric, Matteo Pirotta, Guanya Shi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
BIRD-INTERACT: Re-imagining Text-to-SQL Evaluation via Lens of Dynamic Interactions
Nan Huo, Xiaohan Xu, Jinyang Li, Per Jacobsson, Shipei Lin, Bowen Qin, Binyuan Hui, Xiaolong Li, Ge Qu, Shuzheng Si, Linheng Han, Edward Alexander, Xintong Zhu, Rui Qin, Ruihan Yu, Yiyao Jin, Feige Zhou, Weihao Zhong, Yun Chen, Hongyu Liu, Chenhao Ma, Fatma Ozcan, Yannis Papakonstantinou, Reynold Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
BIRD: Behavior Induction via Representation-structure Distillation
Galen Pogoncheff, Michael Beyeler
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
BLADE: Block-Sparse Attention Meets Step Distillation for Efficient Video Generation
Youping Gu, Xiaolong Li, Yuhao Hu, Chen Minqi, Bohan Zhuang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
BOAD: Discovering Hierarchical Software Engineering Agents via Bandit Optimization
Iris Xu, Guangtao Zeng, Zexue He, Charles Jin, Aldo Pareja, Dan Gutfreund, Chuang Gan, Zhang-Wei Hong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
BOLT: Decision‑Aligned Distillation and Budget-Aware Routing for Constrained Multimodal QA on Robots
Tengjun Ni, Xin Yuan, Shenghong Li, Kai Wu, Ren Liu, Wei Ni, Wenjie Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
BOTS: A Unified Framework for Bayesian Online Task Selection in LLM Reinforcement Finetuning
Qianli Shen, Daoyuan Chen, Yilun Huang, Zhenqing Ling, Yaliang Li, Bolin Ding, Jingren Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
BRIDGE: Bi-level Reinforcement Learning for Dynamic Group Structure in Coalition Formation Games
Shuqing Shi, Nam Tran, Hao Liang, Debmalya Mandal, Long Tran-Thanh, Yali Du
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
BTZSC: A Benchmark for Zero-Shot Text Classification Across Cross-Encoders, Embedding Models, and Rerankers
Ilias Aarab
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
BWCache: Accelerating Video Diffusion Transformers through Block-Wise Caching
Hanshuai Cui, Zhiqing Tang, Zhifei Xu, Zhi Yao, Wenyi Zeng, Weijia Jia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Back to Square Roots: An Optimal Bound on the Matrix Factorization Error for Multi-Epoch Differentially Private SGD
Nikita Kalinin, Ryan McKenna, Jalaj Upadhyay, Christoph Lampert
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Balancing the Experts: Unlocking LoRA-MoE for GRPO via Mechanism-Aware Rewards
Changlian Ma, Zizheng Huang, Xiangyu Zeng, Yi Wang, Cheng Liang, Kun Tian, Xinhai Zhao, Limin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Bandit Learning in Matching Markets Robust to Adversarial Corruptions
Zheshun Wu, Jinhang Zuo, Zenglin Xu, Fang Kong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Bandits with Single-Peaked Preferences and Limited Resources
Omer Ben-Porat, Gur Keinan, Rotem Torkan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Barriers for Learning in an Evolving World: Mathematical Understanding of Loss of Plasticity
Amir Joudaki, Giulia Lanzillotta, Mohammad Samragh, Iman Mirzadeh, Keivan Alizadeh-Vahid, Thomas Hofmann, Mehrdad Farajtabar, Fartash Faghri
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
BaseReward: A Strong Baseline for Multimodal Reward Model
YiFan Zhang, HaiHuaYang, Huanyu Zhang, Yang Shi, Zezhou Chen, Haochen Tian, Chaoyou Fu, Kai WU, Bo Cui, Xu Wang, Jianfei Pan, Haotian Wang, Zhang, Liang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Batch Pruning by Activation Stability
Md Mustakin Alam, Shaker Islam, Aminul Islam
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Battery Fault: A Comprehensive Dataset and Benchmark for Battery Fault Diagnosis
Qingdi Liu, Yan Fu, Lishuo LIU, Yanke LIN, Jin Xin, Jianfeng Zhang, Cheng Liu, Lujia Pan, Dongxu Guo, Yuejiu Zheng, Qiang Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning
Jiayu Chen, Le Xu, Wen-Tse Chen, Jeff Schneider
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Bayesian Attention Mechanism: A Probabilistic Framework for Positional Encoding and Context Length Extrapolation
Arthur S. Bianchessi, Yasmin C. Aguirre, Rodrigo C Barros, Lucas S. Kupssinskü
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Bayesian Ensemble for Sequential Decision-Making
Rui Liu, Enmin Zhao, Lu Wang, Yu Li, Ming Pang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Bayesian Evidence-Driven Prototype Evolution for Federated Domain Adaptation
Xiaoyang Yi, Li Peng, Yuru Bao, Jian Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Bayesian Influence Functions for Hessian-Free Data Attribution
Philipp Alexander Kreer, Wilson Wu, Maxwell Adam, Zach Furman, Jesse Hoogland
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Bayesian Neural Networks for Functional ANOVA Model
Seokhun Park, Choeun Kim, Jihu Lee, Yunseop Shin, Insung Kong, Yongdai Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Bayesian Parameter Shift Rules in Variational Quantum Eigensolvers
Samuele Pedrielli, Christopher J. Anders, Lena Funcke, Karl Jansen, Kim A. Nicoli, Shinichi Nakajima
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Bayesian Post Training Enhancement of Regression Models with Calibrated Rankings
Kevin Tirta Wijaya, Bing Hu, Hans-Peter Seidel, Wojciech Matusik, Vahid Babaei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Bayesian Robust Cooperative Multi-Agent Reinforcement Learning Against Unknown Adversaries
Kiarash Kazari, György Dán
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Bayesian Test-Time Adaptation via Dirichlet feature projection and GMM-Driven Inference for Motor Imagery EEG Decoding
Huan LUO, Na Lu, Xiaopeng Wang, Xu Niu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen!
Zhexin Zhang, Yuhao Sun, Junxiao Yang, Shiyao Cui, yuanchao zhang, Hongning Wang, Minlie Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Bee: A High-Quality Corpus and Full-Stack Suite to Unlock Advanced Fully Open MLLMs
Yi Zhang, Bolin Ni, Xin-Sheng Chen, Hengrui Zhang, Yongming Rao, Houwen Peng, Qinglin Lu, Winston Hu, Meng-Hao Guo, Shi-min Hu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Behavior Learning (BL)
Zhenyao Ma, Yue Liang, Dongxu Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Behavioral Embeddings of Programs: A Quasi-Dynamic Approach for Optimization Prediction
Haolin Pan, Dong Jinyuan, Hongbin Zhang, Hongyu Lin, Mingjie Xing, Yanjun WU
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Belief-Based Offline Reinforcement Learning for Delay-Robust Policy Optimization
Simon Zhan, Qingyuan Wu, Zhaofeng Wang, Frank Yang, Xiangyu Shi, Chao Huang, Qi Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Benchmarking Bias Mitigation Toward Fairness Without Harm from Vision to LVLMs
Xuwei Tan, Ziyu Hu, Xueru Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Benchmarking ECG FMs: A Reality Check Across Clinical Tasks
M A Al-Masud, Juan Miguel Lopez Alcaraz, Nils Strodthoff
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models
Bartłomiej Marek, Lorenzo Rossi, Vincent Hanke, Xun Wang, Michael Backes, Franziska Boenisch, Adam Dziedzic
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Benchmarking LLM Tool-Use in the Wild
Peijie Yu, Wei Liu, Yifan Yang, Jinjian Li, Zelong Zhang, Xiao Feng, feng zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Benchmarking Large Vision-Language Models on Fine-Grained Image Tasks: A Comprehensive Evaluation
Hongtao Yu, Yuxin Peng, Serge Belongie, Xiu-Shen Wei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Benchmarking Open-ended Segmentation
Cristina González, Santiago Rodriguez, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Arbelaez
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Benchmarking Overton Pluralism in LLMs
Elinor Poole-Dayan, Jiayi Wu, Taylor Sorensen, Jiaxin Pei, Michiel Bakker
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Benchmarking Stochastic Approximation Algorithms for Fairness-Constrained Training of Deep Neural Networks
Andrii Kliachkin, Jana Lepšová, Gilles Bareilles, Jakub Marecek
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Benefits and Limitations of Communication in Multi-Agent Reasoning
Michael Rizvi-Martel, Satwik Bhattamishra, Neil Rathi, Guillaume Rabusseau, Michael Hahn
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective
Siwei Wang, Yifei Shen, Haoran Sun, Shi Feng, Shang-Hua Teng, Li Dong, Yaru Hao, Wei Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Best-of-Infinity: Asymptotic Performance of Test-Time LLM Ensembling
Junpei Komiyama, Daisuke Oba, Masafumi Oyamada
Machine Learning
日本大学: 東京科学大学
2026 · ICLR
Best-of-Majority: Minimax-Optimal Strategy for Pass@k Inference Scaling
Qiwei Di, Kaixuan Ji, Xuheng Li, Heyang Zhao, Quanquan Gu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Best-of-N through the Smoothing Lens: KL Divergence and Regret Analysis
Gholamali Aminian, Idan Shenfeld, Amir Reza Asadi, Ahmad Beirami, Youssef Mroueh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Better Bounds for the Distributed Experts Problem
David Woodruff, Samson Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Better Learning-Augmented Spanning Tree Algorithms via Metric Forest Completion
Nate Veldt, Thomas Stanley, Benjamin Priest, Trevor Steil, Keita Iwabuchi, T.S. Jayram, Grace Li, Geoff Sanders
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Better Together: Leveraging Unpaired Multimodal Data for Stronger Unimodal Models
Sharut Gupta, Shobhita Sundaram, Chenyu Wang, Stefanie Jegelka, Phillip Isola
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beware Untrusted Simulators -- Reward-Free Backdoor Attacks in Reinforcement Learning
Ethan Rathbun, Wo Wei Lin, Alina Oprea, Christopher Amato
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Accuracy: Are Time Series Foundation Models Well-Calibrated?
Coen Adler, Yuxin Chang, Samar Abdi, Felix Draxler, Padhraic Smyth
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Aggregation: Guiding Clients in Heterogeneous Federated Learning
Zijian Wang, Xiaofei Zhang, Xin Zhang, Yukun Liu, Qiong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Binary Preferences: A Principled Framework for Reward Modeling with Ordinal Feedback
Amirhossein Afsharrad, Ruida Zhou, Luca Viano, Sanjay Lall, Mohammad Ghavamzadeh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty
Mehul Damani, Isha Puri, Stewart Slocum, Idan Shenfeld, Leshem Choshen, Yoon Kim, Jacob Andreas
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Classification Accuracy: Neural-MedBench and the Need for Deeper Reasoning Benchmarks
Miao Jing, Mengting Jia, Junling Lin, Zhongxia Shen, Huan Gao, Mingkun Xu, Shangyang Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning
Yuhang Liu, Zhen Zhang, Dong Gong, Erdun Gao, Biwei Huang, Mingming Gong, Anton Hengel, Kun Zhang, Javen Qinfeng Shi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Distributions: Geometric Action Control for Continuous Reinforcement Learning
Zhihao Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond English-Centric Training: How Reinforcement Learning Improves Cross-Lingual Reasoning in LLMs
Shulin Huang, Yiran Ding, Junshu Pan, Yue Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Ensembles: Simulating All-Atom Protein Dynamics in a Learned Latent Space
Aditya Sengar, Jiying Zhang, Pierre Vandergheynst, PATRICK BARTH
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Entity Correlations: Disentangling Event Causal Puzzles in Temporal Knowledge Graphs
Qian Chen, Jinyu Zhang, Ling Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Fixed: Training-Free Variable-Length Denoising for Diffusion Large Language Models
Jinsong Li, Xiaoyi Dong, Yuhang Zang, Yuhang Cao, Jiaqi Wang, Dahua Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Grid-Locked Voxels: Neural Response Functions for Continuous Brain Encoding
Haomiao Chen, Keith Jamison, Mert Sabuncu, Amy Kuceyeski
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Hearing: Learning Task-Agnostic ExG Representations from Earphones via Physiology-Informed Tokenization
Hyungjun Yoon, Seungjoo Lee, Yu Wu, XiaoMeng Chen, Taiting Lu, Freddy Liu, Taeckyung Lee, Hyeongheon Cha, Haochen Zhao, Gaoteng Zhao, Dongyao Chen, Cecilia Mascolo, Sung-Ju Lee, Lili Qiu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond In-Domain Detection: SpikeScore for Cross-Domain Hallucination Detection
Yongxin Deng, Zhen Fang, Sharon Li, Ling Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Instance-Level Alignment: Dual-Level Optimal Transport for Audio-Text Retrieval
Wenqi Guo, Shikui Tu, Lei Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Length: Quantifying Long-Range Information for Long-Context LLM Pretraining Data
Haoran Deng, Yingyu Lin, Zhenghao Lin, Xiao Liu, Yizhou Sun, Yian Ma, Yeyun Gong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Linear Probes: Dynamic Safety Monitoring for Language Models
James Oldfield, Philip Torr, Ioannis Patras, Adel Bibi, Fazl Barez
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Linear Processing: Dendritic Bilinear Integration in Spiking Neural Networks
Jingyang Ma, Chongming Liu, Songting Li, Douglas Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE
Frank Wan, Lucheng Fu, Haoxin Liu, Yiqiao Jin, Hui Leong, Eric Jiang, Hejia Geng, Jinhe Bi, Yunpu Ma, Xiangru Tang, B. Aditya Prakash, Yizhou Sun, Wei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Magnitude: Leveraging Direction of RLVR Updates for LLM Reasoning
Kexin Huang, Haoming Meng, Junkang Wu, Jinda Lu, Chiyu Ma, Ziqian Chen, xue wang, Bolin Ding, Jiancan Wu, Xiang Wang, Xiangnan He, Guoyin Wang, Jingren Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Markovian Drifts: Action-Biased Geometric Walks with Memory for Personalized Summarization
Parthiv Chatterjee, Asish Batha, Tashvi patel, Sourish Dasgupta, Tanmoy Chakraborty
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Markovian: Reflective Exploration via Bayes-Adaptive RL for LLM Reasoning
Shenao Zhang, Yaqing Wang, Yinxiao Liu, Tianqi Liu, Peter Grabowski, Eugene Ie, Zhaoran Wang, Yunxuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Masks: Efficient, Flexible Diffusion Language Models via Deletion-Insertion Processes
Fangyu Ding, Ding Ding, Sijin Chen, Kaibo Wang, Peng Xu, Zijin Feng, Haoli Bai, Kai Han, Youliang Yan, Binhang Yuan, Jiacheng Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Match Maximization and Fairness: Retention-Optimized Two-Sided Matching
Ren Kishimoto, Rikiya Takehi, Koichi Tanaka, Yoji Tomita, Masahiro Nomura, Riku Togashi, Yuta Saito
Machine Learning
日本大学: 東京科学大学 / 慶應義塾大学 / 早稲田大学
2026 · ICLR
Beyond Membership: Limitations of Add/Remove Adjacency in Differential Privacy
Gauri Pradhan, Joonas Jälkö, Santiago Zanella-Beguelin, Antti Honkela
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Multi-Token Prediction: Pretraining LLMs with Future Summaries
Divyat Mahajan, Sachin Goyal, Badr Youbi Idrissi, Mohammad Pezeshki, Ioannis Mitliagkas, David Lopez-Paz, Kartik Ahuja
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Noisy-TVs: Noise-Robust Exploration Via Learning Progress Monitoring
Zhibo Hou, Zhiyu An, Wan Du
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Outliers: A Study of Optimizers Under Quantization
Georgios Vlassis, Saleh Ashkboos, Alexandra Volkova, Torsten Hoefler, Dan Alistarh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Pairwise: Empowering LLM Alignment With (Ranked) Choice Modeling
Yuxuan Tang, Yifan Feng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Pass@ 1: Self-Play with Variational Problem Synthesis Sustains RLVR
Xiao Liang, Zhong-Zhi Li, Yeyun Gong, yelong shen, Yingnian Wu, Zhijiang Guo, Weizhu Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Penalization: Diffusion-based Out-of-Distribution Detection and Selective Regularization in Offline Reinforcement Learning
Qingjun Wang, Hongtu Zhou, Hang Yu, Junqiao Zhao, Yanping Zhao, Chen Ye, Ziqiao Wang, Guang Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts
Zhaomin Wu, Mingzhe Du, See-Kiong Ng, Bingsheng He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond RAG vs. Long-Context: Learning Distraction-Aware Retrieval for Efficient Knowledge Grounding
Seongwoong Shim, Myunsoo Kim, Jae Cho, Byung-Jun Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond RLHF and NLHF: Population-Proportional Alignment under an Axiomatic Framework
Kihyun Kim, Jiawei Zhang, Asuman Ozdaglar, Pablo Parrilo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Raw Detection Scores: Markov-Informed Calibration for Boosting Machine-Generated Text Detection
Chenwang Wu, Yiu-ming Cheung, Shuhai Zhang, Bo Han, Defu Lian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Real: Imaginary Extension of Rotary Position Embeddings for Long-Context LLMs
Xiaoran Liu, Yuerong Song, Zhigeng Liu, Zengfeng Huang, Qipeng Guo, Zhaoxiang Liu, Shiguo Lian, Ziwei He, Xipeng Qiu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Beyond Scattered Acceptance: Fast and Coherent Inference for DLMs via Longest Stable Prefixes
Pengxiang Li, Jiayin Cai, Hongwei Xue, Kunyu Shi, Shilin Yan
Machine Learning
日本大学: 関与なし（対象大学）