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
A.I.R.: Enabling Adaptive, Iterative, and Reasoning-based Frame Selection For Video Question Answering
Yuanhao Zou, Shengji Jin, Andong Deng, Youpeng Zhao, Jun Wang, Chen Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A2ASecBench: A Protocol-Aware Security Benchmark for Agent-to-Agent Multi-Agent Systems
Tianhao Li, Chuangxin Chu, Yujia Zheng, Bohan Zhang, Neil Gong, Chaowei Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language Models
Wonje Jeung, Sangyeon Yoon, Yoonjun Cho, Dongjae Jeon, Sangwoo Shin, Hyesoo Hong, Albert No
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ABBA-Adapters: Efficient and Expressive Fine-Tuning of Foundation Models
Raghav Singhal, Kaustubh Ponkshe, Rohit Vartak, Praneeth Vepakomma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AC-Foley: Reference-Audio-Guided Video-to-Audio Synthesis with Acoustic Transfer
Pengjun Fang, Yingqing He, Yazhou Xing, Qifeng Chen, Ser-Nam Lim, Harry Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AC-Sampler: Accelerate and Correct Diffusion Sampling with Metropolis-Hastings Algorithm
Minsang Park, Gyuwon Sim, Hyungho Na, Jiseok Kwak, Sumin Lee, Richard Kim, Donghyeok Shin, Byeonghu Na, Yeongmin Kim, Il-chul Moon
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ACADREASON: Exploring the Limits of Reasoning Models with Academic Research Problems
Xin Gui, Zhu, JinCheng Ren, Qianben Chen, Zekun Wang, Yizhi Li, Xinpeng Liu, Wallis_Wenli Ren, Linyu Miao, Tianrui Qin, Ziqi Shu, He Zhu, Dingfeng Shi, JIAHENG LIU, Yuchen Jiang, Minghao Liu, Ge Zhang, Wangchunshu Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ACCORD: Alleviating Concept Coupling through Dependence Regularization for Text-to-Image Diffusion Personalization
Shi Zhan Liu, Hao ZHENG, Hang Yu, Jianguo Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ACE: Attribution-Controlled Knowledge Editing for Multi-hop Factual Recall
Jiayu Yang, Yuxuan Fan, Songning Lai, Shengen Wu, Jiaqi Tang, Chun Kang, Zhijiang Guo, Yutao Yue
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ACPBench Hard: Unrestrained Reasoning about Action, Change, and Planning
Harsha Kokel, Michael Katz, Kavitha Srinivas, Shirin Sohrabi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ADEPT: Continual Pretraining via Adaptive Expansion and Dynamic Decoupled Tuning
Jinyang Zhang, Yue Fang, Hongxin Ding, Weibin Liao, Muyang Ye, Junfeng Zhao, Yasha Wang, Xu Chu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ADM-v2: Pursuing Full-Horizon Roll-out in Dynamics Models for Offline Policy Learning and Evaluation
Haoxin Lin, Siyuan Xiao, Yi-Chen Li, Zhilong Zhang, Yihao Sun, Chengxing Jia, Yang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AEGIS: Adversarial Target-Guided Retention-Data-Free Robust Concept Erasure from Diffusion Models
Fengpeng Li, Kemou Li, Qizhou Wang, Bo Han, Jiantao Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AFTER: Mitigating the Object Hallucination of LVLM via Adaptive Factual-Guided Activation Editing
Tianbo Wang, Yuqing Ma, Kewei Liao, Zhange Zhang, Simin Li, Jinyang Guo, Xianglong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AI-for-Science Low-code Platform with Bayesian Adversarial Multi-Agent Framework
Zihang Zeng, Jiaquan Zhang, Pengze Li, Yuan Qi, Xi Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AIRE-Prune: Asymptotic Impulse-Response Energy for State Pruning in State Space Models
Apurba Prasad Padhy, Fernando Camacho, Saibal Mukhopadhyay
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ALM-MTA: Front-Door Causal Multi-Touch Attribution Method for Creator-Ecosystem Optimization
Yuguang Liu, Luyao Xia, Hu Liu, Zhangxi Yan, Jian Liang, Han Li, Kun Gai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AMLRIS: Alignment-aware Masked Learning for Referring Image Segmentation
Tongfei Chen, Shuo Yang, Yuguang Yang, Linlin Yang, Runtang Guo, Changbai Li, He Long, Chunyu Xie, Dawei Leng, Baochang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AMPED: Adaptive Multi-objective Projection for balancing Exploration and skill Diversification
Geonwoo Cho, Jaemoon Lee, Jaegyun Im, Subi Lee, Jihwan Lee, Sundong Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon Conversations
Cheng Jiayang, Dongyu Ru, Lin Qiu, Yiyang Li, Xuezhi Cao, Yangqiu Song, Xunliang Cai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AMiD: Knowledge Distillation for LLMs with $\alpha$-mixture Assistant Distribution
Donghyeok Shin, Yeongmin Kim, Suhyeon Jo, Byeonghu Na, Il-chul Moon
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AP-OOD: Attention Pooling for Out-of- Distribution Detection
Claus Hofmann, Christian Huber, Bernhard Lehner, Daniel Klotz, Sepp Hochreiter, Werner Zellinger
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
APC-RL: Exceeding data-driven behavior priors with adaptive policy composition
Finn Rietz, Pedro Zuidberg Dos Martires, Johannes A. Stork
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
APPLE: Toward General Active Perception via Reinforcement Learning
Tim Schneider, Cristiana de Farias, Roberto Calandra, Liming Chen, Jan Peters
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
APT: Towards Universal Scene Graph Generation via Plug-in Adaptive Prompt Tuning
Ruikun Luo, Changwei Gu, Jing Yang, Yuan Gao, Jieming Yang, Song Wu, Hai Jin, Xiaoyu Xia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AQER: A Scalable and Efficient Data Loader for Digital Quantum Computers
Kaining Zhang, Xinbiao Wang, Yuxuan Du, Min-Hsiu Hsieh, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AQuA: Toward Strategic Response Generation for Ambiguous Visual Questions
Jihyoung Jang, Hyounghun Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ARES: Multimodal Adaptive Reasoning via Difficulty-Aware Token-Level Entropy Shaping
Shuang Chen, Hangyu Guo, Yimeng Ye, Shijue Huang, Wenbo Hu, Jiayu Chen, Manyuan Zhang, Haoxi Li, Song Guo, Nanyun (Violet) Peng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ARFlow: Auto-regressive Optical Flow Estimation for Arbitrary-Length Videos via Progressive Next-Frame Forecasting
Jiuming Liu, Mengmeng Liu, Siting Zhu, Yunpeng Zhang, Jiangtao Li, Michael Yang, Francesco Nex, Hao Cheng, Hesheng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ARINBEV: Bird's-Eye View Layout Estimation with Conditional Autoregressive Model
Jiyong Kwag, Charles Toth, Alper Yilmaz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ARM-FM: Automated Reward Machines via Foundation Models for Compositional Reinforcement Learning
Roger Creus Castanyer, Faisal Mohamed, Pablo Samuel Castro, Cyrus Neary, Glen Berseth
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ARMOR: Aligning Secure and Safe Large Language Models via Meticulous Reasoning
Zhengyue Zhao, Yingzi Ma, Somesh Jha, Marco Pavone, Patrick McDaniel, Chaowei Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ARMOR: High-Performance Semi-Structured Pruning via Adaptive Matrix Factorization
Lawrence Liu, Alexander Liu, Mengdi Wang, Tuo Zhao, Lin Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ARMs: Adaptive Red-Teaming Agent against Multimodal Models with Plug-and-Play Attacks
Zhaorun Chen, Xun Liu, Mintong Kang, Jiawei Zhang, Minzhou Pan, Shuang Yang, Bo Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ARROW: An Adaptive Rollout and Routing Method for Global Weather Forecasting
Jindong Tian, Yifei Ding, Ronghui Xu, Hao Miao, Guo, Bin Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ARTDECO: Toward High-Fidelity On-the-Fly Reconstruction with Hierarchical Gaussian Structure and Feed-Forward Guidance
Guanghao Li, Kerui Ren, Linning Xu, Zhewen Zheng, Changjian Jiang, Xin Gao, Bo DAI, Jian Pu, Mulin Yu, Jiangmiao Pang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ASCIIEval: Benchmarking Models' Visual Perception in Text Strings via ASCII Art
Qi Jia, Xiang Yue, Shanshan Huang, Ziheng Qin, Yizhu Liu, Bill Yuchen Lin, Yang You, Guangtao Zhai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ASGuard: Activation-Scaling Guard to Mitigate Targeted Jailbreaking Attack
Yein Park, Jungwoo Park, Jaewoo Kang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ASIDE: Architectural Separation of Instructions and Data in Language Models
Egor Zverev, Evgenii Kortukov, Alexander Panfilov, Alexandra Volkova, Soroush Tabesh, Sebastian Lapuschkin, Wojciech Samek, Christoph Lampert
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ASMIL: Attention-Stabilized Multiple Instance Learning for Whole-Slide Imaging
Linfeng Ye, Shayan Mohajer Hamidi, Zhixiang Chi, Prof. Guang Li, Mert Pilanci, Takahiro Ogawa, Miki Haseyama, Konstantinos Plataniotis
Machine Learning
日本大学: 北海道大学
2026 · ICLR
ASSESS: A Semantic and Structural Evaluation Framework for Statement Similarity
Xiaoyang Liu, Tao Zhu, Zineng Dong, Yuntian Liu, Guo qingfeng, Liu ZhaoXuan, Yu Chen, Tao Luo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting
Xvyuan Liu, Xiangfei Qiu, Hanyin Cheng, Xingjian Wu, Guo, Bin Yang, Jilin Hu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ATEX-CF: Attack-Informed Counterfactual Explanations for Graph Neural Networks
Yu Zhang, Bin Yang, ARIJIT KHAN, Cuneyt Akcora
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ATGen: Adversarial Reinforcement Learning for Test Case Generation
Qingyao Li, Xinyi Dai, Weiwen Liu, Xiangyang Li, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality
Shayne Longpre, Sneha Kudugunta, Niklas Muennighoff, I-Hung Hsu, Isaac Caswell, Alex Pentland, Sercan Arik, Chen-Yu Lee, Sayna Ebrahimi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ATLAS: Alibaba Dataset and Benchmark for Learning-Augmented Scheduling
Zhiyun Jiang, Tianming Zhao, Chunqiu xia, Albert Zomaya
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ATLAS: Constraints-Aware Multi-Agent Collaboration for Real-World Travel Planning
Jihye Choi, Jinsung Yoon, Jiefeng Chen, Somesh Jha, Tomas Pfister
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ATOM: A Pretrained Neural Operator for Multitask Molecular Dynamics
Luke Thompson, Davy Guan, Slade Matthews, Dai Shi, Junbin Gao, Andi Han
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ATPO: ADAPTIVE TREE POLICY OPTIMIZATION FOR MULTI-TURN MEDICAL DIALOGUE
Ruike Cao, Shaojie Bai, Fugen Yao, Liang Dong, Jian Xu, Li Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ATTS: Asynchronous Test-Time Scaling via Conformal Prediction
Jing Xiong, Qiujiang Chen, Fanghua Ye, Zhongwei Wan, Chuanyang Zheng, Chenyang Zhao, Hui Shen, Alexander Hanbo Li, Chaofan Tao, Haochen Tan, Haoli Bai, Lifeng Shang, Lingpeng Kong, Ngai Wong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AUHead: Realistic Emotional Talking Head Generation via Action Units Control
Jiayi Lyu, Leigang Qu, Wenjing Zhang, Hanyu Jiang, Kai Liu, Zhenglin Zhou, Xiaobo Xia, Jian Xue, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AVERE: Improving Audiovisual Emotion Reasoning with Preference Optimization
Ashutosh Chaubey, Jiacheng Pang, Maksim Siniukov, Mohammad Soleymani
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AVEX: What Matters for Animal Vocalization Encoding
Marius Miron, David Robinson, Milad Alizadeh, Ellen Gilsenan-McMahon, Gagan Narula, Emmanuel Chemla, Maddie Cusimano, Felix Effenberger, Masato Hagiwara, Benjamin Hoffman, Sara Keen, Diane Kim, Jane Lawton, Jen-Yu Liu, Aza Raskin, Olivier Pietquin, Matthieu Geist
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AVoCaDO: An Audiovisual Video Captioner Driven by Temporal Orchestration
Xinlong Chen, Yue Ding, Weihong Lin, Jingyun Hua, Linli Yao, Yang Shi, Bozhou Li, Qiang Liu, Yuanxing Zhang, Pengfei Wan, Liang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AWM: Accurate Weight-Matrix Fingerprint for Large Language Models
Boyi Zeng, Lin Chen, Ziwei He, Xinbing Wang, Zhouhan Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A^2TG: Adaptive Anisotropic Textured Gaussians for Efficient 3D Scene Representation
Sheng-Chi Hsu, Ting-Yu Yen, Shih-Hsuan Hung, Hung-Kuo Chu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AbdCTBench: Learning Clinical Biomarker Representations from Abdominal Surface Geometry
Muhammad Ahmed Chaudhry, Suhana Bedi, Pola Lydia Lagari, Brian Layden, William Galanter, Ayis Pyrros, Sanmi Koyejo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AbsTopK: Rethinking Sparse Autoencoders For Bidirectional Features
Xudong Zhu, Mohammad Mahdi Khalili, Zhihui Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AbstRaL: Augmenting LLMs' Reasoning by Reinforcing Abstract Thinking
Silin Gao, Antoine Bosselut, Samy Bengio, Emmanuel Abbe
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Abstracting Robot Manipulation Skills via Mixture-of-Experts Diffusion Policies
Ce Hao, Xuanran Zhai, Yaohua Liu, Harold Soh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Accelerated Learning with Linear Temporal Logic using Differentiable Simulation
Alper Kamil Bozkurt, Calin Belta, Ming Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Accelerated Parallel Tempering via Neural Transports
Leo Zhang, Peter Potaptchik, Jiajun He, Yuanqi Du, Arnaud Doucet, Francisco Vargas, Hai-Dang Dau, Saifuddin Syed
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Accelerated co-design of robots through morphological pretraining
Luke Strgar, Sam Kriegman
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Accelerating Benchmarking of Functional Connectivity Modeling via Structure-aware Core-set Selection
Ling Zhan, Zhen Li, Junjie Huang, Tao Jia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles
Qingyan Wei, Yaojie Zhang, Zhiyuan Liu, Puyu Zeng, Yuxuan Wang, Biqing Qi, Dongrui Liu, Linfeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Accelerating Diffusion Planners in Offline RL via Reward-Aware Consistency Trajectory Distillation
Xintong Duan, Yutong (Kelly) He, Fahim Tajwar, Russ Salakhutdinov, Zico Kolter, Jeff Schneider
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Accelerating Eigenvalue Dataset Generation via Chebyshev Subspace Filter
Hong Wang, Jie Wang, Jian Luo, huanshuo dong, Yeqiu Chen, Runmin Jiang, Zhen Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Accelerating Inference for Multilayer Neural Networks with Quantum Computers
Arthur G. Rattew, Po-Wei Huang, Naixu Guo, Lirandë Pira, Patrick Rebentrost
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Accessible, Realistic, and Fair Evaluation of Positive-Unlabeled Learning Algorithms
Wei Wang, Dong-Dong Wu, Ming Li, Jingxiong Zhang, Gang Niu, Masashi Sugiyama
Machine Learning
日本大学: 東京大学
2026 · ICLR
AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy
Zihan Liu, Zhuolin Yang, Yang Chen, Chankyu Lee, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Achieving Approximate Symmetry Is Exponentially Easier than Exact Symmetry
Behrooz Tahmasebi, Melanie Weber
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Achieving Olympia-Level Geometry Large Language Model Agent via Complexity Boosting Reinforcement Learning
Haiteng Zhao, Junhao Shen, Yiming Zhang, Songyang Gao, Kuikun Liu, Tianyou Ma, Fan Zheng, Dahua Lin, Wenwei Zhang, Kai Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Achieving low-bit Muon through subspace preservation and grid quantization
Huaijin Wu, Bingrui Li, Yebin Yang, Yi Tu, Zhanpeng Zhou, Jianfei Chen, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Action Chunking and Data Augmentation Yield Exponential Improvements in Behavior Cloning for Continuous Spaces
Thomas T. Zhang, Daniel Pfrommer, Chaoyi Pan, Nikolai Matni, Max Simchowitz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Action-Free Offline-To-Online RL via Discretised State Policies
Natinael Neggatu, Jeremie Houssineau, Giovanni Montana
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Action-Guided Attention for Video Action Anticipation
Tsung-Ming Tai, Sofia Casarin, Andrea Pilzer, Werner Nutt, Oswald Lanz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Action-aware Dynamic Pruning for Efficient Vision-Language-Action Manipulation
Xiaohuan Pei, Yuxing Chen, Siyu Xu, Yunke Wang, Yuheng Shi, Chang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Actions Speak Louder than Prompts: A Large-Scale Study of LLMs for Graph Inference
Ben Finkelshtein, Silviu Cucerzan, Sujay Kumar Jauhar, Ryen White
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Actions as Language: Fine-Tuning VLMs into VLAs Without Catastrophic Forgetting
Asher Hancock, Xindi Wu, Lihan Zha, Olga Russakovsky, Anirudha Majumdar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Activation Function Design Sustains Plasticity in Continual Learning
Lute Lillo, Nick Cheney
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Activation Steering with a Feedback Controller
Dung Viet Nguyen, Yen Pham, Hieu Vu, Lei Zhang, Tan Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ActivationReasoning: Logical Reasoning in Latent Activation Spaces
Lukas Helff, Ruben Härle, Wolfgang Stammer, Felix Friedrich, Manuel Brack, Antonia Wüst, Hikaru Shindo, Patrick Schramowski, Kristian Kersting
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Active Learning for Decision Trees with Provable Guarantees
Arshia Soltani Moakhar, Tanapoom Laoaron, Faraz Ghahremani, Kiarash Banihashem, MohammadTaghi Hajiaghayi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Active Learning of 3D Gaussian Splatting with Consistent Region Partition and Robust Pose Estimation
Ruiqi Li, Yiu-ming Cheung
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ActiveCQ: Active Estimation of Causal Quantities
Erdun Gao, Dino Sejdinovic
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ActiveDPO: Active Direct Preference Optimization for Sample-Efficient Alignment
Xiaoqiang Lin, Arun Verma, Zhongxiang Dai, Daniela Rus, See-Kiong Ng, Bryan Kian Hsiang Low
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AdAEM: An Adaptively and Automated Extensible Measurement of LLMs' Value Difference
Jing Yao, Shitong Duan, Xiaoyuan Yi, Dongkuan Xu, Peng Zhang, Tun Lu, Ning Gu, Zhicheng Dou, Xing Xie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AdPO: Enhancing the Adversarial Robustness of Large Vision-Language Models with Preference Optimization
Chaohu Liu, Gui Tianyi, Yu Liu, Linli Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AdS-GNN - a Conformally Equivariant Graph Neural Network
Maksim Zhdanov, Nabil Iqbal, Erik Bekkers, Patrick Forré
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making
Fan Feng, Selena Ge, Minghao Fu, Zijian Li, Yujia Zheng, Zeyu Tang, Yingyao Hu, Biwei Huang, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AdaBlock-dLLM: Semantic-Aware Diffusion LLM Inference via Adaptive Block Size
Guanxi Lu, Hao Chen, Yuto Karashima, Zhican Wang, Daichi Fujiki, Hongxiang Fan
Machine Learning
日本大学: 東京科学大学
2026 · ICLR
AdaCache: Adaptive Caching and Context Augmentation for Efficient LLM Serving
Zihao Zeng, Siyi Li, Xinyu Yan, Lei Xiao, Wei Yang Bryan Lim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AdaRank: Adaptive Rank Pruning for Enhanced Model Merging
Chanhyuk Lee, Jiho Choi, Chanryeol Lee, Donggyun Kim, Seunghoon Hong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AdaReasoner: Dynamic Tool Orchestration for Iterative Visual Reasoning
Mingyang Song, Haoyu Sun, Jiawei Gu, Linjie Li, Ranjay Krishna, Yu Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AdaSpec: Adaptive Spectrum for Enhanced Node Distinguishability
Fangbing Liu, Qing Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
AdaViewPlanner: Adapting Video Diffusion Models for Viewpoint Planning in 4D Scenes
Yu Li, Menghan Xia, Gongye Liu, Jianhong Bai, Xintao WANG, Conglang Zhang, Yuxuan Lin, Ruihang Chu, Pengfei Wan, Yujiu Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adapt Data to Model: Adaptive Transformation Optimization for Domain-shared Time Series Foundation Models
Yunzhong Qiu, Zhiyao Cen, Zhongyi Pei, Chen Wang, Jianmin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adapting Self-Supervised Representations as a Latent Space for Efficient Generation
Ming Gui, Johannes Schusterbauer, Timy Phan, Felix Krause, Joshua Susskind, MIGUEL ANGEL BAUTISTA, Björn Ommer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adaptive Acquisition Selection for Bayesian Optimization with Large Language Models
Giang Ngo, Dat Phan Trong, Dang Nguyen, Sunil Gupta, Svetha Venkatesh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Adaptive Attacks on Trusted Monitors Subvert AI Control Protocols
Mikhail Terekhov, Alexander Panfilov, Daniil Dzenhaliou, Caglar Gulcehre, Maksym Andriushchenko, Ameya Prabhu, Jonas Geiping
Machine Learning
日本大学: 関与なし（対象大学）