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
The Price of Robustness: Stable Classifiers Need Overparameterization
Jonas von Berg, Adalbert Fono, Massimiliano Datres, Sohir Maskey, Gitta Kutyniok
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Quest for Efficient Reasoning: A Data-Centric Benchmark to CoT Distillation
Ruichen Zhang, Rana Muhammad Shahroz Khan, Zhen Tan, Dawei Li, Song Wang, Tianlong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Quest for Generalizable Motion Generation: Data, Model, and Evaluation
Jing Lin, Ruisi Wang, Junzhe Lu, Ziqi Huang, Guorui Song, AILING ZENG, Xian Liu, Chen Wei, Wanqi Yin, Qingping SUN, Zhongang Cai, Lei Yang, Ziwei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Rank and Gradient Lost in Non-stationarity: Sample Weight Decay for Mitigating Plasticity Loss in Reinforcement Learning
Zihao Wu, Hongyao Tang, Yi Ma, Jiashun Liu, YAN ZHENG, Jianye Hao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Sample Complexity of Online Reinforcement Learning: A Multi-model Perspective
Michael Muehlebach, Zhiyu He, Michael Jordan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Seismic Wavefield Common Task Framework
Alexey Yermakov, Yue Zhao, Marine Denolle, Yiyu Ni, Philippe Wyder, Judah Goldfeder, Stefano Riva, Jan Williams, David Zoro, Amy Rude, Matteo Tomasetto, Joe Germany, Joseph Bakarji, Georg Maierhofer, Miles Cranmer, Nathan Kutz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Serial Scaling Hypothesis
Yuxi Liu, Konpat Preechakul, Kananart Kuwaranancharoen, Yutong Bai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Shape of Adversarial Influence: Characterizing LLM Latent Spaces with Persistent Homology
Aideen Fay, Inés García-Redondo, Qiquan Wang, Haim Dubossarsky, Anthea Monod
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Softmax Bottleneck Does Not Limit the Probabilities of the Most Likely Tokens
Ronen Basri, David Jacobs
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Spacetime of Diffusion Models: An Information Geometry Perspective
Rafał Karczewski, Markus Heinonen, Alison Pouplin, Søren Hauberg, Vikas Garg
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The State of Reinforcement Finetuning for Transformer-based Agents
Shengchao Hu, Peng Wang, Guozheng Ma, Shi Fu, Li Shen, Ya Zhang, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task Execution
Junlong Li, Wenshuo Zhao, Jian Zhao, Weihao Zeng, Haoze Wu, Xiaochen Wang, Rui Ge, Yuxuan Cao, Yuzhen Huang, Wei Liu, Junteng LIU, Zhaochen Su, Yiyang Guo, FAN ZHOU, Lueyang Zhang, Juan Michelini, Xingyao Wang, Xiang Yue, Shuyan Zhou, Graham Neubig, Junxian He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Tutor-Pupil Augmentation: Enhancing Learning and Interpretability via Input Corrections
Darya Biparva, Maarten Schoukens, Donatello Materassi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Unseen Bias: How Norm Discrepancy in Pre-Norm MLLMs Leads to Visual Information Loss
Bozhou Li, Xinda Xue, Sihan Yang, Yang Shi, Xinlong Chen, Yushuo Guan, Yuanxing Zhang, Wentao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Unseen Frontier: Pushing the Limits of LLM Sparsity with Surrogate-Free ADMM
Kwanhee Lee, Hyeondo Jang, Dongyeop Lee, Dan Alistarh, Namhoon Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Value of Information in Human-AI Decision-making
Ziyang Guo, Yifan Wu, Jason Hartline, Jessica Hullman
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Theoretical Analysis of Contrastive Learning under Imbalanced Data: From Training Dynamics to a Pruning Solution
Haixu Liao, Yating Zhou, Songyang Zhang, Meng Wang, Shuai Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Theoretical Guarantees for Causal Discovery on Large Random Graphs
Mathieu Chevalley, Arash Mehrjou, Patrick Schwab
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Theoretical Modeling of Large Language Model Self-Improvement Training Dynamics Through Solver-Verifier Gap
Yifan Sun, Yushan Liang, Zhen Zhang, Xin Liu, Jiaye Teng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Theory of Scaling Laws for In-Context Regression: Depth, Width, Context and Time
Blake Bordelon, Mary Letey, Cengiz Pehlevan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Theory of Space: Can Foundation Models Construct Spatial Beliefs through Active Exploration?
Pingyue Zhang, Zihan Huang, Yue Wang, Jieyu Zhang, Letian Xue, Zihan Wang, Qineng Wang, Keshigeyan Chandrasegaran, Ruohan Zhang, Yejin Choi, Ranjay Krishna, Jiajun Wu, Li Fei-Fei, Manling Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Theory-Grounded Evaluation of Human-Like Fallacy Patterns in LLM Reasoning
Andrew Richardson, Ryan Kearns, Sean Moss, Vincent Wang, Philipp Koralus
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
There Was Never a Bottleneck in Concept Bottleneck Models
Antonio Almudévar, José Miguel Hernández Lobato, Alfonso Ortega
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
There and Back Again: On the relation between Noise and Image Inversions in Diffusion Models
Łukasz Staniszewski, Łukasz Kuciński, Kamil Deja
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
There is No VAE: End-to-End Pixel-Space Generative Modeling via Self-Supervised Pre-Training
jiachen lei, Keli Liu, Julius Berner, Y HoiM, Hongkai Zheng, Jiahong Wu, Xiangxiang Chu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Thicker and Quicker: The Jumbo Token for Fast Plain Vision Transformers
Anthony Fuller, Yousef Yassin, Daniel Kyrollos, Evan Shelhamer, James Green
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ThinKV: Thought-Adaptive KV Cache Compression for Efficient Reasoning Models
Akshat Ramachandran, Marina Neseem, Charbel Sakr, Rangharajan Venkatesan, Brucek Khailany, Tushar Krishna
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Think Then Embed: Generative Context Improves Multimodal Embedding
Xuanming Cui, Jianpeng Cheng, Hong-You Chen, Satya Narayan Shukla, Abhijeet Awasthi, Xichen Pan, Chaitanya Ahuja, Shlok Mishra, Taipeng Tian, Qi Guo, Ser-Nam Lim, Aashu Singh, Xiangjun Fan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Think in Parallel, Answer as One: Logit Averaging for Open-Ended Reasoning
Haonan Wang, Chao Du, Kenji Kawaguchi, Tianyu Pang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Think-While-Generating: On-the-Fly Reasoning for Personalized Long-Form Generation
Chengbing Wang, Yang Zhang, Wenjie Wang, Xiaoyan Zhao, Fuli Feng, Xiangnan He, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ThinkMorph: Emergent Properties in Multimodal Interleaved Chain-of-Thought Reasoning
Jiawei Gu, Yunzhuo Hao, Huichen Wang, Linjie Li, Michael Qizhe Shieh, Yejin Choi, Ranjay Krishna, Yu Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ThinkOmni: Lifting Textual Reasoning to Omni-modal Scenarios via Guidance Decoding
Yiran Guan, Sifan Tu, Dingkang Liang, Linghao Zhu, Jianzhong Ju, Zhenbo Luo, Jian Luan, Yuliang Liu, Xiang Bai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Thinking as Society: Multi-Social-Agent Self-Distillation for Multimodal Misinformation Detection
Yifei Gao, Ning Xu, Wenhui Li, Hongshuo Tian, Lanjun Wang, Anan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Thinking on the Fly: Test-Time Reasoning Enhancement via Latent Thought Policy Optimization
Wengao Ye, Yan Liang, Lianlei Shan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Thinking with Camera: A Unified Multimodal Model for Camera-Centric Understanding and Generation
Kang Liao, Size Wu, Zhonghua Wu, Linyi Jin, Chao Wang, Yikai Wang, Fei Wang, Wei Li, Chen Change Loy
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Thinking-Free Policy Initialization Makes Distilled Reasoning Models More Effective and Efficient Reasoners
Xin Xu, Clive Bai, Kai Yang, Tianhao Chen, Yang Wang, Saiyong Yang, Can Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Thompson Sampling via Fine-Tuning of LLMs
Nicolas Menet, Aleksandar Terzic, Michael Hersche, Andreas Krause, Abbas Rahimi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Thought Branches: Interpreting LLM Reasoning Requires Resampling
Uzay Macar, Paul Bogdan, Senthooran Rajamanoharan, Neel Nanda
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Threading Keyframe with Narratives: MLLMs as Strong Long Video Comprehenders
Bo Fang, YuXin Song, Haoyuan Sun, Qiangqiang Wu, Wenhao Wu, Antoni Chan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Three Forward, One Backward: Memory-Efficient Full-Rank Fine-Tuning of Large Models via Extra Forward Passes
Jia Zhang, Yu Bai, Hualin Zhang, Tianshuo Chen, Zhaogeng Liu, Zhiqiang Xu, Yi Chang, Bin Gu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Through the Lens of Contrast: Self-Improving Visual Reasoning in VLMs
Zhiyu Pan, Yizheng Wu, Jiashen Hua, Junyi Feng, Shaotian Yan, Bing Deng, Zhiguo Cao, Jieping Ye
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Thyme: Think Beyond Images
YiFan Zhang, Xingyu Lu, Shukang Yin, Chaoyou Fu, Wei Chen, Xiao Hu, Bin Wen, Kaiyu Jiang, Changyi Liu, Tianke Zhang, Haonan fan, Kaibing Chen, Jiankang Chen, Haojie Ding, Kaiyu Tang, Zhang, Liang Wang, Fan Yang, Tingting Gao, Guorui Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TiTok: Transfer Token-level Knowledge via Contrastive Excess to Transplant LoRA
ChanJoo Jung, Jaehyung Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TianQuan-S2S: A Subseasonal-to-Seasonal Global Weather Model via Incorporate Climatology State
Guowen Li, Xintong Liu, Yang Liu, Mengxuan Chen, Shilei Cao, Xuehe Wang, Juepeng Zheng, Jinxiao Zhang, Haoyuan Liang, Lixian Zhang, Jiuke Wang, Meng Jin, Hong Cheng, Haohuan Fu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Tight Bounds for Schrodinger Potential Estimation in Unpaired Data Translation
Nikita Puchkin, Denis Suchkov, Aleksei Naumov, Denis Belomestny
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Tighter Performance Theory of FedExProx
Wojciech Anyszka, Kaja Gruntkowska, Alexander Tyurin, Peter Richtarik
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TikZilla: Scaling Text-to-TikZ with High-Quality Data and Reinforcement Learning
Christian Greisinger, Steffen Eger
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TileLang: Bridge Programmability and Performance in Modern Neural Kernels
Lei Wang, Yu Cheng, Yining Shi, Zhiwen Mo, Zhengju Tang, Wenhao Xie, Tong Wu, Lingxiao Ma, Yuqing Xia, Jilong Xue, Fan Yang, Zhi Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Time Is All It Takes: Spike-Retiming Attacks on Event-Driven Spiking Neural Networks
Yi Yu, Qixin ZHANG, Shuhan YE, Xun Lin, Qianshan Wei, Kun Wang, Wenhan Yang, Dacheng Tao, Jiang Xudong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Time Is a Feature: Exploiting Temporal Dynamics in Diffusion Language Models
Wen Wang, Bozhen Fang, Chenchen Jing, Yongliang Shen, Yangyi Shen, Qiuyu Wang, Hao Ouyang, Hao Chen, Chunhua Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Time Optimal Execution of Action Chunk Policies Beyond Demonstration Speed
Sunwoo Kim, Jeongjun Kim, Joseph Lim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Time-Gated Multi-Scale Flow Matching for Time-Series Imputation
Hangtian Wang, Mahito Sugiyama
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Time-To-Inconsistency: A Survival Analysis of Large Language Model Robustness to Adversarial Attacks
Yubo Li, Ramayya Krishnan, Rema Padman
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Time-to-Move: Training-Free Motion-Controlled Video Generation via Dual-Clock Denoising
Assaf Singer, Noam rotstein, Amir Mann, Ron Kimmel, Or Litany
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models
Tong Guan, Zijie Meng, Dianqi Li, Shiyu Wang, Chao-Han Huck Yang, Qingsong Wen, Zuozhu Liu, Sabato Siniscalchi, Ming Jin, Shirui Pan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness
Zhiyuan Zhao, Juntong Ni, Shangqing Xu, Haoxin Liu, Wei Jin, B. Aditya Prakash
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TimeSearch-R: Adaptive Temporal Search for Long-Form Video Understanding via Self-Verification Reinforcement Learning
Junwen Pan, Qizhe Zhang, Rui Zhang, Ming Lu, Xin Wan, Yuan Zhang, Chang Liu, Qi She
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TimeSeg: An Information-Theoretic Segment-Wise Explainer for Time-Series Predictions
Hwijin Kim, Jaeho Kim, Changhee Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TimeSeriesExamAgent: Creating Time Series Reasoning Benchmarks at Scale
Malgorzata Gwiazda, Yifu Cai, Mononito Goswami, Arjun Choudhry, Artur Dubrawski
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Tina: Tiny Reasoning Models via LoRA
Shangshang Wang, Julian Asilis, Ömer Faruk Akgül, Enes Bilgin, Ollie Liu, Willie Neiswanger
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
To Augment or Not to Augment? Diagnosing Distributional Symmetry Breaking
Hannah Lawrence, Elyssa Hofgard, Vasco Portilheiro, Yuxuan Chen, Tess Smidt, Robin Walters
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
To Compress or Not? Pushing the Frontier of Lossless GenAI Model Weights Compression with Exponent Concentration
Zeyu Yang, Tianyi Zhang, Jianwen Xie, Chuan Li, Zhaozhuo Xu, Anshumali Shrivastava
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
To Infinity and Beyond: Tool-Use Unlocks Length Generalization in State Space Models
Eran Malach, Omid Saremi, Sinead Williamson, Arwen Bradley, Aryo Lotfi, Emmanuel Abbe, Joshua Susskind, Etai Littwin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
To Sink or Not to Sink: Visual Information Pathways in Large Vision-Language Models
Jiayun Luo, Wan-Cyuan (Chris) Fan, Lyuyang Wang, Xiangteng He, Tanzila Rahman, Purang Abolmaesumi, Leonid Sigal
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
To View Transform or Not to View Transform: NeRF-based Pre-training Perspective
Hyeonjun Jeong, Juyeb Shin, Dongsuk Kum
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ToProVAR: Efficient Visual Autoregressive Modeling via Tri-Dimensional Entropy-Aware Semantic Analysis and Sparsity Optimization
Jiayu Chen, Ruoyu Lin, Zihao Zheng, Jingxin Li, Maoliang Li, Guojie Luo, Xiang Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TokMem: One-Token Procedural Memory for Large Language Models
Zijun Wu, Yongchang Hao, Lili Mou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning
Tunyu Zhang, Haizhou Shi, Yibin Wang, Hengyi Wang, Xiaoxiao He, Zhuowei Li, Haoxian Chen, Ligong Han, Kai Xu, Huan Zhang, Dimitris Metaxas, Hao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Token Alignment Heads: Unveiling Attention's Role in LLM Multilingual Translation
BINBIN LIU, Wenhan Han, Feng Chen, Yifan Zhang, Ping Guo, Haobin Lin, Bingni Zhang, Taifeng Wang, Yin Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Token Distillation: Attention-Aware Input Embeddings for New Tokens
Konstantin Dobler, Desmond Elliott, Gerard de Melo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Token Hidden Reward: Steering Exploration-Exploitation in Group Relative Deep Reinforcement Learning
Wenlong Deng, YI REN, Yushu Li, Boying Gong, Danica Sutherland, Xiaoxiao Li, Christos Thrampoulidis
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Token-Based Audio Inpainting via Discrete Diffusion
Tali Dror, Iftach Shoham, Moshe Buchris, Oren Gal, Haim Permuter, Gilad Katz, Eliya Nachmani
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Token-Efficient Item Representation via Images for LLM Recommender Systems
Kibum Kim, Sein Kim, HongSeok Kang, Jiwan Kim, Heewoong Noh, Yeonjun In, Kanghoon Yoon, Jinoh Oh, Julian McAuley, Chanyoung Park
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Token-Efficient Long-Term Interest Sketching and Internalized Reasoning for LLM-based Recommendation
Zhihao Ding, Jinming Li, Shuai Mu, Jieming Shi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Token-Guard: Towards Token-Level Hallucination Control via Self-Checking Decoding
Yifan Zhu, 慧强荣, Haoran Luo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Token-Importance Guided Direct Preference Optimization
Ning Yang, Hai Lin, Yibo Liu, Baoliang Tian, Guoqing Liu, Haijun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Token-level Data Selection for Safe LLM Fine-tuning
Yanping Li, Zhening Liu, Zijian Li, Zehong Lin, Jun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TokenSeek: Memory Efficient Fine Tuning via Instance-Aware Token Ditching
Runjia Zeng, Qifan Wang, Qiang Guan, Ruixiang Tang, Lifu Huang, Zhenting Wang, Xueling Zhang, Cheng Han, Dongfang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Tokenisation over Bounded Alphabets is Hard
Violeta Kastreva, Philip Whittington, Dennis Komm, Tiago Pimentel
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Tokenization to Transfer: Do Genomic Foundation Models Learn Good Representations?
Kirill Vishniakov, Karthik Viswanathan, Aleksandr Medvedev, Praveenkumar Kanithi, Marco Pimentel, Ronnie Rajan, Shadab Khan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Tokenizing Single-Channel EEG with Time-Frequency Motif Learning
Jathurshan Pradeepkumar, Xihao Piao, Zheng Chen, Jimeng Sun
Machine Learning
日本大学: 大阪大学
2026 · ICLR
ToolACE-MT: Non-Autoregressive Generation for Agentic Multi-Turn Interaction
Xingshan Zeng, Weiwen Liu, Lingzhi Wang, Liangyou Li, Fei Mi, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ToolTree: Efficient LLM Tool Planning via Dual-Feedback Monte Carlo Tree Search and Bidirectional Pruning
Shuo Yang, Caren Han, Yihao Ding, Shuhe Wang, Eduard H Hovy
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ToolWeaver: Weaving Collaborative Semantics for Scalable Tool Use in Large Language Models
Bowen Fang, Wen Ye, YUNYUE SU, Jinghao Zhang, Qiang Liu, Yesheng Liu, Xin Sun, shu wu, Jiabing Yang, Baole Wei, Liang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Tools are under-documented: Simple Document Expansion Boosts Tool Retrieval
Xuan Lu, Haohang Huang, Rui Meng, Yaohui Jin, Wenjun Zeng, Xiaoyu Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ToonComposer: Streamlining Cartoon Production with Generative Post-Keyframing
Lingen Li, Guangzhi Wang, Zhaoyang Zhang, Yaowei Li, Xiaoyu Li, Qi Dou, Jinwei Gu, Tianfan Xue, Ying Shan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TopoFormer: Topology Meets Attention for Graph Learning
Md Joshem Uddin, Astrit Tola, Cuneyt Akcora, Baris Coskunuzer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Topological Anomaly Quantification for Semi-supervised Graph Anomaly Detection
Ting Guo, Yangrui Fan, Caixia Cui, Jiye Liang, Jiao Zhao, Da Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Topological Causal Effects
Kwangho Kim, Hajin Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Topological Flow Matching
Kacper Wyrwal, Ismail I Ceylan, Alexander Tong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Topology Matters in RTL Circuit Representation Learning
Mingyu Zhao, Xun He, Jiawei Liu, Jianwang Zhai, Chuan Shi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Topology and geometry of the learning space of ReLU networks: connectivity and singularities
Marco Nurisso, Pierrick Leroy, Giovanni Petri, Francesco Vaccarino
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Topology of Reasoning: Retrieved Cell Complex-Augmented Generation for Textual Graph Question Answering
Sen Zhao, Lincheng Zhou, Yue Chen, Ding Zou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Topology-Preserved Auto-regressive Mesh Generation in the Manner of Weaving Silk
Gaochao Song, Zibo Zhao, Haohan Weng, Jingbo Zeng, Rongfei Jia, Shenghua Gao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Toward Complex-Valued Neural Networks for Waveform Generation
Hyung-Seok Oh, Deok-Hyeon Cho, Seung-Bin Kim, Seong-Whan Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Toward Conservative Planning from Human-AI Preferences in Reinforcement Learning
Huazhong Wang, Wenzhuo Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Toward Effective Tool-Integrated Reasoning via Self-Evolved Preference Learning
Yifei Chen, Guanting Dong, Zhicheng Dou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Toward Efficient Exploration by Large Language Model Agents
Dilip Arumugam, Thomas L. Griffiths
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Toward Enhancing Representation Learning in Federated Multi-Task Settings
Mehdi Setayesh, Mahdi Beitollahi, Yasser Khalil, Hongliang Li
Machine Learning
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