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
Continuous Audio Language Models
Simon Rouard, Manu Orsini, Axel Roebel, Neil Zeghidour, Alexandre Défossez
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Continuous Chain of Thought Enables Parallel Exploration and Reasoning
Alperen Gozeten, Muhammed Ildiz, Xuechen Zhang, Hrayr Harutyunyan, Ankit Singh Rawat, Samet Oymak
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Continuous Space-Time Video Super-Resolution with 3D Fourier Fields
Alexander Becker, Julius Erbach, Dominik Narnhofer, Konrad Schindler
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Continuous multinomial logistic regression for neural decoding
Rupasinghe Arachchige Anuththara Rupasinghe, Jonathan Pillow
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Continuous-Time Value Iteration for Multi-Agent Reinforcement Learning
Xuefeng Wang, Lei Zhang, Henglin Pu, Ahmed Hussain Qureshi, Husheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling
Huangjie Zheng, Shansan Gong, Ruixiang Zhang, Tianrong Chen, Jiatao Gu, Mingyuan Zhou, Navdeep Jaitly, Yizhe Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Continuum Transformers Perform In-Context Learning by Operator Gradient Descent
Yash Patel, Abhiti Mishra, Ambuj Tewari
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Contraction and Hourglass Persistence for Learning on Graphs, Simplices, and Cells
Mattie Ji, Indradyumna Roy, Vikas Garg
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Contractive Diffusion Policies
Amin Soleimani Abyaneh, Charlotte Morissette, Mohamad H. Danesh, Anas Houssaini, David Meger, Gregory Dudek, Hsiu-Chin Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Contrastive Diffusion Guidance for Spatial Inverse Problems
Sattwik Basu, Chaitanya Amballa, Zhongweiyang Xu, Jorge Vančo Sampedro, Srihari Nelakuditi, Romit Roy Choudhury
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Contrastive Predictive Coding Done Right for Mutual Information Estimation
Jongha Ryu, Pavan Yeddanapudi, Xiangxiang Xu, Gregory Wornell
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Control Tax: The Price of Keeping AI in Check
Mikhail Terekhov, Zhen Liu, Caglar Gulcehre, Samuel Albanie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Controllable Exploration in Hybrid-Policy RLVR for Multi-Modal Reasoning
Zhuoxu Huang, Mengxi Jia, Hao Sun, Xuelong Li, Jungong Han
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Controllable First-Frame-Guided Video Editing via Mask-Aware LoRA Fine-Tuning
Chenjian Gao, Lihe Ding, Cai, Zhanpeng Huang, Zibin Wang, Tianfan Xue
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs
Yisen Gao, Jiaxin Bai, Tianshi Zheng, Ziwei Zhang, Qingyun Sun, Xingcheng Fu, Jianxin Li, Yangqiu Song
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Controllable Sequence Editing for Biological and Clinical Trajectories
Michelle M. Li, Kevin Li, Yasha Ektefaie, Ying Jin, Yepeng Huang, Shvat Messica, Tianxi Cai, Marinka Zitnik
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Controllable Video Generation with Provable Disentanglement
Yifan Shen, Peiyuan Zhu, Zijian Li, Shaoan Xie, Namrata Deka, Zongfang Liu, Zeyu Tang, Guangyi Chen, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Controllable diffusion-based generation for multi-channel biological data
Haoran Zhang, Mingyuan Zhou, Wesley Tansey
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Controlling Repetition in Protein Language Models
Jiahao Zhang, ZEQING ZHANG, Di Wang, Lijie Hu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ConvT3: Structured State Kernels for Convolutional State Space Models
Jaeyoung Hong, YunYoung Choi, Joohwan Ko, Minseon Gwak
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Converge Faster, Talk Less: Hessian-Informed Federated Zeroth-Order Optimization
Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Convergence Analysis of Tsetlin Machines under Noise-Free and Noisy Training Conditions: From $2$ Bits to $k$ Bits
Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Convergence Dynamics of Over-Parameterized Score Matching for a Single Gaussian
Yiran Zhang, Weihang Xu, Mo Zhou, Maryam Fazel, Simon Du
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Convergence of Muon with Newton-Schulz
Gyu Yeol Kim, Min-hwan Oh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Convergence of Regret Matching in Potential Games and Constrained Optimization
Ioannis Anagnostides, Emanuel Tewolde, Brian Zhang, Ioannis Panageas, Vincent Conitzer, Tuomas Sandholm
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Convergence of an actor-critic gradient flow for entropy regularised MDPs in general spaces
Denis Zorba, David Siska, Lukasz Szpruch
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Convergent Differential Privacy Analysis for General Federated Learning
Yan Sun, Qixin ZHANG, Li Shen, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Convex Dominance in Deep Learning I: A Scaling Law of Loss and Learning Rate
Zhiqi Bu, Shiyun Xu, Jialin Mao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Convex Efficient Coding
Will Dorrell, Peter Latham, James Whittington
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Cooperative Sheaf Neural Networks
André Ribeiro, Ana Luiza Tenorio, Juan Belieni, Amauri Souza, Diego Mesquita
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Copy-Paste to Mitigate Large Language Model Hallucinations
Yongchao Long, Yingying Zhang, Xianbin Wen, Xian Wu, Yuxi Zhou, Shenda Hong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Corner Gradient Descent
Dmitry Yarotsky
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Correlated Policy Optimization in Multi-Agent Subteams
Dingyang Chen, Jianing Ye, Zhenyu Zhang, Xiaolong Kuang, Xinyang Shen, Ozalp Ozer, Chongjie Zhang, Qi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CortiLife: A Unified Framework for Cortical Representation Learning across the Lifespan
Pengcheng Xue, Dong Nie, Jie Luo, Daoqiang Zhang, Xuyun Wen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Cortical Policy: A Dual-Stream View Transformer for Robotic Manipulation
Xuening Zhang, Qi Lv, Xiang Deng, Miao Zhang, Xingbo Liu, Liqiang Nie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning
Moo Jin Kim, Yihuai Gao, Tsung-Yi Lin, Yen-Chen Lin, Yunhao Ge, Grace Lam, Percy Liang, Shuran Song, Ming-Yu Liu, Chelsea Finn, Jinwei Gu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Cost-of-Pass: An Economic Framework for Evaluating Language Models
Mehmet Hamza Erol, Batu El, Mirac Suzgun, Mert Yuksekgonul, James Y Zou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CounselBench: A Large-Scale Expert Evaluation and Adversarial Benchmarking of Large Language Models in Mental Health Question Answering
Yahan Li, Jifan Yao, John Bunyi, Adam Frank, Angel Hwang, Ruishan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Count Bridges enable Modeling and Deconvolving Transcriptomic Data
Nic Fishman, Gokul Gowri, Tanush Kumar, Jiaqi Lu, Valentin De Bortoli, Jonathan Gootenberg, Omar Abudayyeh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Count Counts: Motivating Exploration in LLM Reasoning with Count-based Intrinsic Rewards
Xuan Zhang, Ruixiao Li, Zhijian Zhou, Long Li, Yulei Qin, Ke Li, Xing Sun, Xiaoyu Tan, Chao Qu, Yuan Qi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Counterfactual Explanations on Robust Perceptual Geodesics
Eslam Zaher, Maciej Trzaskowski, Quan Nguyen, Fred Roosta
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Counterfactual LLM-based Framework for Measuring Rhetorical Style
Jingyi Qiu, Hong Chen, Zongyi Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Counterfactual Reasoning for Retrieval-Augmented Generation
Huaiyu Qin, Chunyu Wei, Yueguo Chen, Yunhai Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Counterfactual Structural Causal Bandits
Min Woo Park, Sanghack Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Coupled Transformer Autoencoder for Disentangling Multi-Region Neural Latent Dynamics
Ram Dyuthi Sristi, Sowmya Narasimha, Jingya Huang, Alice Despatin, Simon Musall, Vikash Gilja, Gal Mishne
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Coupling Experts and Routers in Mixture-of-Experts via an Auxiliary Loss
Ang Lv, Jin Ma, Yiyuan Ma, Siyuan Qiao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Covariate-Guided Clusterwise Linear Regression for Generalization to Unseen Data
Dohyun Bu, Hyunho Kim, JONGSEOK LEE
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CreatiDesign: A Unified Multi-Conditional Diffusion Transformer for Creative Graphic Design
Hui Zhang, Dexiang Hong, Maoke Yang, Yutao Cheng, Zhao Zhang, Weidong Chen, Jie Shao, Xinglong Wu, Zuxuan Wu, Yu-Gang Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Credit-Budgeted ICPC-Style Coding: When Agents Must Pay for Every Decision
Lingfeng Zhou, Junhao Shi, Jin Gao, Dequan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Critical Confabulation: Can LLMs Hallucinate for Social Good?
Peiqi Sui, Eamon Duede, Hoyt Long, Richard So
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Critical attention scaling in long-context transformers
Shi Chen, Zhengjiang Lin, Yury Polyanskiy, Philippe Rigollet
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Critic–Adviser–Reviser Cyclic Refinement: Towards High-Quality EMR Corpus Generation with LLMs
Chen Ning, Xien Liu, Chenwei Yan, Xiao Zhang, Xinxin You, Yuxuan Zhou, xiangling fu, Ji Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Critique-Coder: Enhancing Coder Models by Critique Reinforcement Learning
Chi Ruan, Dongfu Jiang, Yubo Wang, Wenhu Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Critique-RL: Training Language Models For Critiquing Through Two-Stage Reinforcement Learning
Zhiheng Xi, Jixuan Huang, Xin Guo, Boyang Hong, Dingwen Yang, Xiaoran Fan, Shuo Li, Zehui Chen, Junjie Ye, Siyu Yuan, Zhengyin Du, Xuesong Yao, Yufei Xu, Jiecao Chen, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CroCoDiLight: Repurposing Cross-View Completion Encoders for Relighting
Alistair J Foggin, William Smith
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Cross-ControlNet: Training-Free Fusion of Multiple Conditions for Text-to-Image Generation
Xiang Liu, Junjun Jiang, Wei Han, Kui Jiang, Xianming Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Cross-Domain Lossy Compression via Rate- and Classification-Constrained Optimal Transport
Nam Nguyen, Thinh Nguyen, Bella Bose
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Cross-Domain Policy Optimization via Bellman Consistency and Hybrid Critics
Ming-Hong Chen, Kuan-Chen Pan, You-De Huang, Xi Liu, Ping-Chun Hsieh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Cross-Embodiment Offline Reinforcement Learning for Heterogeneous Robot Datasets
Haruki Abe, Takayuki Osa, YUSUKE Mukuta, Tatsuya Harada
Machine Learning
日本大学: 東京大学
2026 · ICLR
Cross-Modal Redundancy and the Geometry of Vision–Language Embeddings
Grégoire DHIMOÏLA, Thomas Fel, Victor Boutin, Agustin Picard
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Cross-Timestep: 3D Diffusion Model with Trans-temporal Memory LSTM and Adaptive Priori Decoding Strategy for Medical Segmentation
Shangqian Wu, Siyuan Shen, Yahan Li, Zhijian Huang, Ziyu Fan, Yuanpeng Zhang, YI WANG, Lei Deng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Cross-Tokenizer Likelihood Scoring Algorithms for Language Model Distillation
Truong Buu Phan, Ashish Khisti, Karen Ullrich
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CrossPL: Systematic Evaluation of Large Language Models for Cross Programming Language Interoperating Code Generation
Zhanhang Xiong, Dongxia Wang, Yuekang Li, Xinyuan An, Wenhai Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CryoLVM: Self-supervised Learning from Cryo-EM Density Maps with Large Vision Models
Weining Fu, Kai Shu, Kui Xu, Qiangfeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CryoNet.Refine: A One-step Diffusion Model for Rapid Refinement of Structural Models with Cryo-EM Density Map Restraints
Fuyao Huang, Xiaozhu Yu, Kui Xu, Qiangfeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CryoSplat: Gaussian Splatting for Cryo-EM Homogeneous Reconstruction
Suyi Chen, Haibin Ling
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Ctrl-World: A Controllable Generative World Model for Robot Manipulation
Yanjiang Guo, Lucy Shi, Jianyu Chen, Chelsea Finn
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CubeBench: Diagnosing Interactive, Long-Horizon Physical Intelligence under Partial Observations
Huan-ang Gao, Zikang Zhang, Tianwei Luo, Kaisen Yang, Xinzhe Juan, Jiahao Qiu, Tianxing Chen, Bingxiang He, Hao Zhao, Hao Zhou, Shilong Liu, Mengdi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Cultivating Pluralism In Algorithmic Monoculture: The Community Alignment Dataset
Lily Zhang, Smitha Milli, Karen Jusko, Jonathan Smith, Brandon Amos, Wassim Bouaziz, Manon Revel, Jack Kussman, Yasha Sheynin, Lisa Titus, Bhaktipriya Radharapu, Jane Dwivedi-Yu, Vidya Sarma, Kristopher Rose, Maximilian Nickel
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Culture In a Frame: C$^3$B as a Comic-Based Benchmark for Multimodal Culturally Awareness
Yuchen Song, Andong Chen, Wenxin Zhu, Kehai Chen, Xuefeng Bai, Muyun Yang, Tiejun Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Culture in Action: Evaluating Text-to-Image Models through Social Activities
Sina Malakouti, Boqing Gong, Adriana Kovashka
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CurES: From Gradient Analysis to Efficient Curriculum Learning for Reasoning LLMs
Yongcheng Zeng, Zexu Sun, Bokai Ji, Erxue Min, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Haifeng Zhang, Xu Chen, Jun Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Curation Leaks: Membership Inference Attacks against Data Curation for Machine Learning
Dariush Wahdany, Matthew Jagielski, Adam Dziedzic, Franziska Boenisch
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning
Shubham Parashar, Shurui Gui, Xiner Li, Hongyi Ling, Sushil Vemuri, Blake Olson, Eric Li, Yu Zhang, James Caverlee, Dileep Kalathil, Shuiwang Ji
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Curse of Slicing: Why Sliced Mutual Information is a Deceptive Measure of Statistical Dependence
Alexander Semenenko, Ivan Butakov, Ivan Oseledets, Alexey Frolov
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Curvature-Guided Task Synergy for Skeleton based Temporal Action Segmentation
Guozhang Li, Xinran Duan, Mei Wang, Lizhi Wang, Hua Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Customizing Visual Emotion Evaluation for MLLMs: An Open-vocabulary, Multifaceted, and Scalable Approach
Daiqing Wu, Dongbao Yang, Sicheng Zhao, Can Ma, Yu ZHOU
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Cut Less, Fold More: Model Compression through the Lens of Projection Geometry
Olga Saukh, Dong Wang, Haris Šikić, Yun Cheng, Lothar Thiele
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Cutting the Skip: Training Residual-Free Transformers
Yiping Ji, James Martens, Jianqiao Zheng, Ziqin Zhou, Peyman Moghadam, Xinyu Zhang, Hemanth Saratchandran, Simon Lucey
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Cyber-Zero: Training Cybersecurity Agents without Runtime
Terry Yue Zhuo, Dingmin Wang, Hantian Ding, Varun Kumar, Zijian Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CyberGym: Evaluating AI Agents' Real-World Cybersecurity Capabilities at Scale
ZHUN WANG, Tianneng Shi, Jingxuan He, Matthew Cai, Jialin Zhang, Dawn Song
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CyclicReflex: Improving Reasoning Models via Cyclical Reflection Token Scheduling
Chongyu Fan, Yihua Zhang, Jinghan Jia, Alfred Hero, Sijia Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CylinderSplat: 3D Gaussian Splatting with Cylindrical Triplanes for Panoramic Novel View Synthesis
Qiwei Wang, Xianghui Ze, Jingyi Yu, Yujiao Shi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
D$^2$GS: Depth-and-Density Guided Gaussian Splatting for Stable and Accurate Sparse-View Reconstruction
Meixi Song, Xin Lin, Dizhe Zhang, Haodong Li, Xiangtai Li, Bo Du, Lu Qi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
D&R: Recovery-based AI-Generated Text Detection via a Single Black-box LLM Call
Yuxia Sun, Ran Zhang, Aoxiang Sun, Xu Li, Zitao Liu, Jingcai Guo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
D-AR: Diffusion via Autoregressive Models
Ziteng Gao, Mike Zheng Shou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
D-REX: Differentiable Real-to-Sim-to-Real Engine for Learning Dexterous Grasping
Haozhe Lou, Mingtong Zhang, Haoran Geng, Hanyang Zhou, Sicheng He, Zhiyuan Gao, Siheng Zhao, Jiageng Mao, Pieter Abbeel, Jitendra Malik, Daniel Seita, Yue Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI
Suhwan Choi, Jaeyoon Jung, Haebin Seong, Minchan Kim, Minyeong Kim, Yongjun Cho, Yoonshik Kim, Yu Park, Youngjae Yu, Yunsung Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DA$^{2}$: Depth Anything in Any Direction
Haodong Li, Wangguandong Zheng, Jing He, Yuhao LIU, Xin Lin, Xin Yang, YINGCONG CHEN, Chunchao Guo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle
Fangyu Lei, Jinxiang Meng, Yiming Huang, Junjie zhao, Yitong Zhang, Jianwen Luo, Xin Zou, Ruiyi Yang, Wenbo Shi, Yan Gao, Shizhu He, Jun Zhao, Zuo Wang, Qian Liu, YANG WANG, Ke Wang, Kang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DADA: Dual Averaging with Distance Adaptation
Mohammad Moshtaghifar, Anton Rodomanov, Daniil Vankov, Sebastian Stich
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DAG-Math: Graph-of-Thought Guided Mathematical Reasoning in LLMs
Yuanhe Zhang, Ilja Kuzborskij, Jason Lee, Chenlei Leng, Fanghui Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DAK-UCB: Diversity-Aware Prompt Routing for LLMs and Generative Models
Donya Jafari, Farzan Farnia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DAMR: Efficient and Adaptive Context-Aware Knowledge Graph Question Answering with LLM-Guided MCTS
Yingxu Wang, Shiqi Fan, Mengzhu Wang, Siyang Gao, Chao Wang, nan yin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DARE-bench: Evaluating Modeling and Instruction Fidelity of LLMs in Data Science
Fan Shu, Yite Wang, Ruofan Wu, Boyi Liu, Zhewei Yao, Yuxiong He, Feng Yan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DASH: Deterministic Attention Scheduling for High-throughput Reproducible LLM Training
Xinwei Qiang, Hongmin chen, Shixuan Sun, Jingwen Leng, Xin Liu, Minyi Guo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DAVE: A VLM Vision Encoder for Document Understanding and Web Agents
Brandon Huang, Hang Hua, Zhuoran Yu, trevor darrell, Rogerio Feris, Roei Herzig
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DCFold: Efficient Protein Structure Generation with Single Forward Pass
Zhe Zhang, Yuanning Feng, Yuxuan Song, Keyue Qiu, Hao Zhou, Wei-Ying Ma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DEAS: DEtached value learning with Action Sequence for Scalable Offline RL
Changyeon Kim, Haeone Lee, Younggyo Seo, Kimin Lee, Yuke Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DES-LOC: Desynced Low Communication Adaptive Optimizers for Foundation Models
Alex Iacob, Lorenzo Sani, Mher Safaryan, Paris Giampouras, Samuel Horváth, Andrej Jovanovic, Meghdad Kurmanji, Preslav Aleksandrov, William Shen, Xinchi Qiu, Nic Lane
Machine Learning
日本大学: 関与なし（対象大学）