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
Adaptive Augmentation-Aware Latent Learning for Robust LiDAR Semantic Segmentation
Wangkai Li, Zhaoyang Li, Yuwen Pan, Rui Sun, Yujia Chen, Tianzhu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks
Ya-Wei Eileen Lin, Ron Levie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adaptive Collaboration with Humans: Metacognitive Policy Optimization for Multi-Agent LLMs with Continual Learning
Wei Yang, Defu Cao, Jiacheng Pang, Muyan Weng, Yan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adaptive Concept Discovery for Interpretable Few-Shot Text Classification
Lifang ZHENG, Hanmo Liu, Kani Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adaptive Conformal Anomaly Detection with Time Series Foundation Models for Signal Monitoring.
Natalia Martinez Gil, Fearghal O'Donncha, Wesley Gifford, Nianjun Zhou, Dhaval Patel, Roman Vaculin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adaptive Conformal Guidance for Learning under Uncertainty
Rui Liu, Peng Gao, Yu Shen, Ming Lin, Pratap Tokekar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adaptive Conformal Prediction via Mixture-of-Experts Gating Similarity
Jingsen Kong, Wenlu Tang, Dezheng Kong, Linglong Kong, Guangren Yang, Bei Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adaptive Data-Knowledge Alignment in Genetic Perturbation Prediction
Yuanfang Xiang, Lun Ai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adaptive Debiasing Tsallis Entropy for Test-Time Adaptation
Xiangyu Wu, Dongming Jiang, Feng Yu, Yueying Tian, Jiaqi Tang, Qing-Guo Chen, Yang, Jianfeng Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adaptive Domain Shift in Diffusion Models for Cross-Modality Image Translation
Zihao WANG, Yuzhou Chen, Shaogang Ren
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adaptive Gaussian Expansion for On-the-fly Category Discovery
Chunming Li, Shidong Wang, Haofeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adaptive Hopfield Network: Rethinking Similarities in Associative Memory
Shurong Wang, Yuqi Pan, Zhuoyang Shen, Meng Zhang, Hongwei Wang, Guoqi Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adaptive Logit Adjustment for Debiasing Multimodal Language Models
Hoin Jung, Junyi Chai, Xiaoqian Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adaptive Mamba Neural Operators
Zeyuan Song, Zheyu Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adaptive Methods Are Preferable in High Privacy Settings: An SDE Perspective
Enea Monzio Compagnoni, Alessandro Stanghellini, Rustem Islamov, Aurelien Lucchi, Anastasia Koloskova
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adaptive Mixture of Disentangled Experts for Dynamic Graph Out-of-Distribution Generalization
Chen Haibo, Xin Wang, Guanheng Chen, Yuan Meng, Haoyang Li, Yang Yao, Zeyang Zhang, Zhiqiang Zhang, JUN ZHOU, Ling Feng, Wenwu Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adaptive Moments are Surprisingly Effective for Plug-and-Play Diffusion Sampling
Christian Belardi, Justin Lovelace, Kilian Weinberger, Carla Gomes
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adaptive Nonlinear Compression for Large Foundation Models
Liang Xu, Shufan Shen, Qingming Huang, Yao Zhu, Xiangyang Ji, Shuhui Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adaptive Regularization for Large-Scale Sparse Feature Embedding Models
Mang Li, Wei Lyu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adaptive Rollout Allocation for Online Reinforcement Learning with Verifiable Rewards
Trung Hieu Nguyen, Bao Nguyen, Wenao Ma, Yuzhi Zhao, Ruifeng She, Viet Anh Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adaptive Scaling of Policy Constraints for Offline Reinforcement Learning
Jing Tan, Xiaorui Li, Chao Yao, Xiaojuan Ban, Yuetong FANG, Renjing Xu, Zhaolin Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adaptive Social Learning via Mode Policy Optimization for Language Agents
Minzheng Wang, Yongbin Li, Haobo Wang, Xinghua Zhang, Nan Xu, Bingli Wu, Fei Huang, Haiyang Yu, Wenji Mao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adaptive Test-Time Training for Predicting Need for Invasive Mechanical Ventilation in Multi-Center Cohorts
Xiaolei Lu, Shamim Nemati
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adaptive Thinking: Large Language Models Know When to Think in Latent Space
Pingzhi Li, Bairu Hou, Yun Zhu, Yihao Feng, Ke Ye, Tao Lei, Zhifeng Chen, Tianlong Chen, Xianzhi Du
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adaptive Width Neural Networks
Federico Errica, Henrik Christiansen, Viktor Zaverkin, Mathias Niepert, Francesco Alesiani
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adaptive gradient descent on Riemannian manifolds and its applications to Gaussian variational inference
Jiyoung Park, Jaewook J. Suh, Bofan Wang, Anirban Bhattacharya, Shiqian Ma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Addressing Pitfalls in the Evaluation of Uncertainty Estimation Methods for Natural Language Generation
Mykyta Ielanskyi, Kajetan Schweighofer, Lukas Aichberger, Sepp Hochreiter
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Addressing divergent representations from causal interventions on neural networks
Satchel Grant, Simon Jerome Han, Alexa Tartaglini, Christopher Potts
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adjusting Prediction Model Through Wasserstein Geodesic for Causal Inference
Yuguang Yan, Haolin Yang, Zecong Chen, Weilin Chen, Ruichu Cai, Zhifeng Hao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Ads that Stick: Near-Optimal Ad Optimization through Psychological Behavior Models
Kailash Gopal Darmasubramanian, Akash Pareek, Arindam Khan, Arpit Agarwal
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AdvChain: Adversarial Chain-of-Thought Tuning for Robust Safety Alignment of Large Reasoning Models
Zihao Zhu, Xinyu Wu, Gehan Hu, Siwei Lyu, Ke Xu, Baoyuan Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Advancing Complex Video Object Segmentation via Progressive Concept Construction
Zhixiong Zhang, Shuangrui Ding, Xiaoyi Dong, Songxin He, Jianfan Lin, Junsong Tang, Yuhang Zang, Yuhang Cao, Dahua Lin, Jiaqi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Advancing Multi-agent Traffic Simulation via R1-Style Reinforcement Fine-Tuning
Muleilan Pei, Shaoshuai Shi, Shaojie Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Advancing Spatiotemporal Representations in Spiking Neural Networks via Parametric Invertible Transformation
Yinsong Yan, Yujie Wu, Jibin Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Advancing Universal Deep Learning for Electronic-Structure Hamiltonian Prediction of Materials
Shi Yin, Zujian Dai, Xinyang Pan, Lixin He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adversarial Attacks Already Tell the Answer: Directional Bias-Guided Test-time Defense for Vision-Language Models
Liangsheng Liu, Si Chen, Jiamin Wu, Weiwei Feng, Zhixin Cheng, Xiaotian Yin, Wenfei Yang, Tianzhu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adversarial Déjà Vu: Jailbreak Dictionary Learning for Stronger Generalization to Unseen Attacks
Mahavir Dabas, Tran Huynh, Nikhil Billa, Jiachen (Tianhao) Wang, Peng Gao, Charith Peris, Yao Ma, Rahul Gupta, Ming Jin, Prateek Mittal, Ruoxi Jia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adversarial Encoding Perturbation and Synthesis for Set Representation Auxiliary Learning
Yankai Chen, Xinni Zhang, Henry Peng Zou, Bowei He, Yangning Li, Philip Yu, Irwin King, Xue Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adversarially Pretrained Transformers May Be Universally Robust In-Context Learners
Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
Machine Learning
日本大学: 千葉大学 / 東京大学
2026 · ICLR
Aegis: Automated Error Generation and Attribution for Multi-Agent Systems
Fanqi Kong, Ruijie Zhang, Huaxiao Yin, Guibin Zhang, Xiaofei Zhang, Ziang Chen, Zhaowei Zhang, Xiaoyuan Zhang, Song-Chun Zhu, Xue Feng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AetherCode: Evaluating LLMs’ Ability to Win In Premier Programming Competitions
Zihan Wang, Jiaze Chen, Zhicheng Liu, Haojie Pan, Markus Mak, Yidi Du, Geonsik Moon, Aaron Tua, Kunshuo Peng, Jiayi Lu, Boqian Zou, Chenyang Ran, GuangTian, Shoutai Zhu, Duan Yeheng, Zhenghui Kang, Zhenxing Lin, Lishangshu, Qiang Luo, Qingshen Long, Zhiyong Chen, Yihan Xiao, Yurong Wu, Daoguang Zan, Mingxuan Wang, Ming Ding
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AgenTracer: Who Is Inducing Failure in the LLM Agentic Systems?
Guibin Zhang, Junhao Wang, Junjie Chen, Wangchunshu Zhou, Kun Wang, Shuicheng YAN
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents
Yueqi Song, Ketan Ramaneti, Zaid Sheikh, Ziru Chen, Boyu Gou, Tianbao Xie, Yiheng Xu, Danyang Zhang, Apurva Gandhi, Fan Yang, Joseph Liu, Tianyue Ou, Zhihao Yuan, Frank F Xu, Shuyan Zhou, Xingyao Wang, Xiang Yue, Tao Yu, Huan Sun, Yu Su, Graham Neubig
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Agent-X: Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic Tasks
Tajamul Ashraf, Amal Saqib, Hanan Gani, Muhra AlMahri, Yuhao Li, Noor Ahsan, Umair Nawaz, Jean Lahoud, Hisham Cholakkal, Mubarak Shah, Philip Torr, Fahad Khan, Rao Anwer, Salman Khan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AgentFold: Long-Horizon Web Agents with Proactive Context Folding
Rui Ye, Zhongwang Zhang, Kuan Li, Huifeng Yin, Zhengwei Tao, Yida Zhao, Liangcai Su, Liwen Zhang, Zile Qiao, Xinyu Wang, Pengjun Xie, Fei Huang, Jingren Zhou, Siheng Chen, Yong Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AgentGym-RL: An Open-Source Framework to Train LLM Agents for Long-Horizon Decision Making via Multi-Turn RL
Zhiheng Xi, Jixuan Huang, Chenyang Liao, Baodai Huang, Jiaqi Liu, Honglin Guo, yajie yang, Rui Zheng, Junjie Ye, Jiazheng Zhang, Wenxiang Chen, Wei He, Yiwen Ding, Guanyu Li, Zehui Chen, Zhengyin Du, Xuesong Yao, Yufei Xu, Jiecao Chen, Tao Gui, Zuxuan Wu, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AgentMath: Empowering Mathematical Reasoning for Large Language Models via Tool-Augmented Agent
Haipeng Luo, Huawen Feng, Qingfeng Sun, Can Xu, Kai Zheng, Yufei Wang, TAO YANG, Winston Hu, Yansong Tang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AgentPO: Enhancing Multi-Agent Collaboration via Reinforcement Learning
lin sun, Chuang Liu, Can Zhang, Yubin Wu, Weijia Lu, Ning Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AgentSynth: Scalable Task Generation for Generalist Computer-Use Agents
Jingxu Xie, Dylan Xu, Xuandong Zhao, Dawn Song
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
Qizheng Zhang, Changran Hu, Shubhangi Upasani, Boyuan Ma, Fenglu Hong, Vamsidhar Kamanuru, Jay Rainton, Chen Wu, Mengmeng Ji, Hanchen Li, Urmish Thakker, James Y Zou, Kunle Olukotun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Agentic Jigsaw Interaction Learning for Enhancing Visual Perception and Reasoning in Vision-Language Models
Yu Zeng, Wenxuan Huang, Shiting Huang, Xikun Bao, Yukun Qi, Yiming Zhao, Qiuchen Wang, Lin Chen, Zehui Chen, Huaian Chen, Wanli Ouyang, Feng Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Agentic Reinforced Policy Optimization
Guanting Dong, Hangyu Mao, Kai Ma, Licheng Bao, Yifei Chen, Zhongyuan Wang, Zhongxia Chen, Jiazhen Du, Huiyang Wang, Fuzheng Zhang, Guorui Zhou, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Agentic Reinforcement Learning with Implicit Step Rewards
Xiaoqian Liu, Ke Wang, Yuchuan Wu, Fei Huang, Yongbin Li, Jianbin Jiao, Junge Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AgilePruner: An Empirical Study of Attention and Diversity for Adaptive Visual Token Pruning in Large Vision-Language Models
Changwoo Baek, Jouwon Song, Sohyeon Kim, Kyeongbo Kong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Agnostics: Learning to Synthesize Code in Any Programming Language with a Universal Reinforcement Learning Environment
Aleksander Boruch-Gruszecki, Yangtian Zi, Zixuan Wu, Tejas Oberoi, Carolyn Anderson, Joydeep Biswas, Arjun Guha
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AirQA: A Comprehensive QA Dataset for AI Research with Instance-Level Evaluation
Tiancheng Huang, Ruisheng Cao, Yuxin Zhang, Zhangyi Kang, Zijian Wang, Chenrun Wang, Yijie LUO, Hang Zheng, Lirong Qian, Lu Chen, Kai Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Algorithmic Guarantees for Distilling Supervised and Offline RL Datasets
Aaryan Gupta, Rishi Saket, Aravindan Raghuveer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Align Once, Benefit Multilingually: Enforcing Multilingual Consistency for LLM Safety Alignment
Yuyan Bu, Xiaohao Liu, ZhaoXing Ren, Yaodong Yang, Juntao Dai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Align Your Structures: Generating Trajectories with Structure Pretraining for Molecular Dynamics
Aniketh Iyengar, Jiaqi Han, Pengwei Sun, Mingjian Jiang, Jianwen Xie, Stefano Ermon
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Align to Misalign: Automatic LLM Jailbreak with Meta-Optimized LLM Judges
Hamin Koo, Minseon Kim, Jaehyung Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Align-SAM: Seeking Flatter Minima for Better Cross-Subset Alignment
Van-Anh Nguyen, Mehrtash Harandi, Thanh-Toan Do, Linh Ngo Van, Dinh Phung, Trung Le
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Align-Then-stEer: Adapting the Vision-Language Action Models through Unified Latent Guidance
Yang Zhang, Chenwei Wang, ouyang lu, Yuan Zhao, Yunfei Ge, Zhenglong Sun, Xiu Li, Chi Zhang, Chenjia Bai, Xuelong Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AlignFlow: Improving Flow-based Generative Models with Semi-Discrete Optimal Transport
Lingkai Kong, Molei Tao, Yang Liu, Bryan Wang, Jinmiao Fu, Chien-Chih Wang, Huidong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AlignSep: Temporally-Aligned Video-Queried Sound Separation with Flow Matching
Xize Cheng, Chenyuhao Wen, Slytherin Wang, Yongqi Wang, zehan wang, Rongjie Huang, Tao Jin, Zhou Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Aligned Agents, Biased Swarm: Measuring Bias Amplification in Multi-Agent Systems
Keyu Li, Jin Gao, Dequan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Aligned Novel View Image and Geometry Synthesis via Cross-modal Attention Instillation
Min-Seop Kwak, Junho Kim, Sangdoo Yun, Dongyoon Han, Taekyung Kim, Seungryong Kim, Jin-Hwa Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Aligner, Diagnose Thyself: A Meta-Learning Paradigm for Fusing Intrinsic Feedback in Preference Alignment
Mengyang Li, Pinlong Zhao, Zhong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Aligning Collaborative View Recovery and Tensorial Subspace Learning via Latent Representation for Incomplete Multi-View Clustering
Youqing Wang, Yu Cao, Jinlu Wang, Xiang Xu, Jiapu Wang, Tengfei Liu, Junbin Gao, Jipeng Guo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Aligning Deep Implicit Preferences by Learning to Reason Defensively
Peiming Li, Zhiyuan Hu, Shiyu Li, Xi Chen, Yang Tang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Aligning Visual Foundation Encoders to Tokenizers for Diffusion Models
Bowei Chen, Sai Bi, Hao Tan, HE Zhang, Tianyuan Zhang, Zhengqi Li, Yuanjun Xiong, Jianming Zhang, Kai Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Alignment through Meta-Weighted Online Sampling: Bridging the Gap between Data Generation and Preference Optimization
Junming Yang, Ning Xu, Biao Liu, Shiqi Qiao, Xin Geng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Alignment-Enhanced Integration of Connectivity and Spectral Sparsity in Dynamic Sparse Training of LLM
Wenjing Wu, Yingtao Zhang, Jialin Zhao, Carlo Vittorio Cannistraci
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Alignment-Weighted DPO: A principled reasoning approach to improve safety alignment
Mengxuan Hu, Vivek Datla, Anoop Kumar, Zihan Guan, Sheng Li, Alfy Samuel, Daben Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
All Code, No Thought: Language Models Struggle to Reason in Ciphered Language
Shiyuan Guo, Henry Sleight, Fabien Roger
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
All Patches Matter, More Patches Better: Enhance AI-Generated Image Detection via Panoptic Patch Learning
Zheng Yang, Ruoxin Chen, Zhiyuan Yan, Ke-Yue Zhang, Xinghe Fu, Shuang Wu, Xiujun Shu, Taiping Yao, Shouhong Ding, Zequn Qin, Xi Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
All Roads Lead to Likelihood: The Value of Reinforcement Learning in Fine-Tuning
Gokul Swamy, Sanjiban Choudhury, Wen Sun, Steven Wu, Drew Bagnell
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
All That Glitters Is Not Gold: Key-Secured 3D Secrets within 3D Gaussian Splatting
Yan Ren, Shilin Lu, Adams Kong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
All-day Multi-scenes Lifelong Vision-and-Language Navigation with Tucker Adaptation
XUDONG WANG, Gan Li, Zhiyu Liu, Yao Wang, Lianqing Liu, Zhi Han
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Almost Bayesian: Dynamics of SGD Through Singular Learning Theory
Max Hennick, Stijn De Baerdemacker
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AlphaAgentEvo: Evolution-Oriented Alpha Mining via Self-Evolving Agentic Reinforcement Learning
Ziyi Tang, Xuexiong Yin, Weixing Chen, Zechuan Chen, Yongsen Zheng, Wenxuan Ye, Keze Wang, Liang Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AlphaAlign: Incentivizing Safety Alignment with Extremely Simplified Reinforcement Learning
Yi Zhang, An Zhang, XiuYu Zhang, Leheng Sheng, Yuxin Chen, Zhenkai Liang, Xiang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AlphaBench: Benchmarking Large Language Models in Formulaic Alpha Factor Mining
Haochen Luo, HoTin Ko, Jiandong Chen, David Sun, Yuan Zhang, Chen Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AlphaFlow: Understanding and Improving MeanFlow Models
Huijie Zhang, Aliaksandr Siarohin, Willi Menapace, Michael Vasilkovsky, Sergey Tulyakov, Qing Qu, Ivan Skorokhodov
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AlphaSAGE: Structure-Aware Alpha Mining via GFlowNets for Robust Exploration
Binqi Chen, Hongjun Ding, Ning Shen, Taian Guo, Jinsheng Huang, Luchen Liu, Ming Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint
Leheng Sheng, Changshuo Shen, Weixiang Zhao, Junfeng Fang, Xiaohao Liu, Zhenkai Liang, Xiang Wang, An Zhang, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Alternating Diffusion for Proximal Sampling with Zeroth Order Queries
Hirohane Takagi, Atsushi Nitanda
Machine Learning
日本大学: 東京大学
2026 · ICLR
Ambig-SWE: Interactive Agents to Overcome Underspecificity in Software Engineering
Sanidhya Vijayvargiya, Xuhui Zhou, Akhila Yerukola, Maarten Sap, Graham Neubig
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Amortising Inference and Meta-Learning Priors in Neural Networks
Tommy Rochussen, Vincent Fortuin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
An Agentic Framework with LLMs for Solving Complex Vehicle Routing Problems
Ni Zhang, Zhiguang Cao, Jianan Zhou, Cong Zhang, Yew-Soon Ong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
An Efficient SE(p)-Invariant Transport Metric Driven by Polar Transport Discrepancy-based Representation
Junyi Lin, Dunyao Xue, Jun Yu, Hongteng Xu, Cheng Meng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
An Ensemble Framework for Unbiased Language Model Watermarking
Yihan Wu, Ruibo Chen, Georgios Milis, Heng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
An Improved Model-free Decision-estimation Coefficient with Applications in Adversarial MDPs
Haolin Liu, Chen-Yu Wei, Julian Zimmert
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
An Information Theoretic Perspective on Agentic System Design
Shizhe He, Avanika Narayan, Ishan Khare, Scott Linderman, Christopher Re, Dan Biderman
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
An Information-Theoretic Framework For Optimizing Experimental Design To Distinguish Probabilistic Neural Codes
Po-Chen Kuo, Edgar Walker
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
An Information-Theoretic Parameter-Free Bayesian Framework for Probing Labeled Dependency Trees from Attention Score
Hongxu Liu, Jing Ma, Xiaojie Wang, Caixia YUAN, Fangxiang Feng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
An Open-Ended Benchmark and Formal Framework for Adjuvant Research with MLLM
Yi Chen, Yu Zhang, Jian Xu, Hua Yue, Xinming Wang, Zequan Lyu, Xu-yao Zhang, Wei Wei, Cheng-lin Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
An Optimal Diffusion Approach to Quadratic Rate-Distortion Problems: New Solution and Approximation Methods
Dror Freirich, Nir Weinberger
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
An Orthogonal Learner for Individualized Outcomes in Markov Decision Processes
Emil Javurek, Valentyn Melnychuk, Jonas Schweisthal, Konstantin Hess, Dennis Frauen, Stefan Feuerriegel
Machine Learning
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