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
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Tree-based Search
Fang Wu, Weihao Xuan, Heli Qi, Aaron Tu, Ximing Lu, Li, Yejin Choi
Machine Learning
日本大学: 東京大学 / 早稲田大学
2026 · ICLR
DeepTRACE: Auditing Deep Research AI Systems for Tracking Reliability Across Citations and Evidence
Pranav Narayanan Venkit, Philippe Laban, Yilun Zhou, Kung-Hsiang Huang, Yixin Mao, Chien-Sheng Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DeepWeightFlow: Re-Basined Flow Matching for Generating Neural Network Weights
Saumya Gupta, Scott Biggs, Moritz Laber, Zohair Shafi, Robin Walters, Ayan Paul
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Defending against Backdoor Attacks via Module Switching
Weijun Li, Ansh Arora, Xuanli He, Mark Dras, Qiongkai Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DefensiveKV: Taming the Fragility of KV Cache Eviction in LLM Inference
yuan feng, Haoyu Guo, Junlin Lv, S Kevin Zhou, Xike Xie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Deforming Videos to Masks: Flow Matching for Referring Video Segmentation
zanyi wang, Dengyang Jiang, Liuzhuozheng Li, Sizhe Dang, Chengzu Li, Harry Yang, Guang Dai, Mengmeng Wang, Jingdong Wang
Machine Learning
日本大学: 東京大学
2026 · ICLR
Deft Scheduling of Dynamic Cloud Workflows with Varying Deadlines via Mixture-of-Experts
Ya Shen, Gang Chen, Hui Ma, Mengjie Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Delay Flow Matching
Bolin Zhao, Xiaoyu Zhang, Yuting Dong, Xin Lu, Wei Lin, Qunxi Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring
Changhun Kim, Yechan Mun, Hyeongwon Jang, Eunseo Lee, Sangchul Hahn, Eunho Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Delving into Spectral Clustering with Vision-Language Representations
Bo Peng, Yuanwei Hu, Bo Liu, Ling Chen, Jie Lu, Zhen Fang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DemoGrasp: Universal Dexterous Grasping from a Single Demonstration
Haoqi Yuan, Ziye Huang, Ye Wang, Chuan Mao, Chaoyi Xu, Zongqing Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Demystifying Deep Search: A Holistic Evaluation with Hint-free Multi-Hop Questions and Factorised Metrics
Maojia Song, Liu Renhang, Xinyu Wang, Yong Jiang, Pengjun Xie, Fei Huang, Soujanya Poria, Jingren Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Demystifying Robot Diffusion Policies: Action Memorization and a Simple Lookup Table Alternative
Chengyang He, Xu Liu, Gadiel Sznaier Camps, Joseph Bruno, Guillaume Sartoretti, Mac Schwager
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Demystifying Supervision Data Generalization in Multimodal LMs
Xuan Qi, Luxi He, Dan Roth, Xingyu Fu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Demystifying The Mechanisms Behind Emergent Exploration in Goal-Conditioned RL
Mahsa Bastankhah, Grace Liu, Dilip Arumugam, Thomas L. Griffiths, Benjamin Eysenbach
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents
Tiannuo Yang, Zebin Yao, Bowen Jin, Lixiao Cui, Yusen Li, Gang Wang, Xiaoguang Liu, Willie Neiswanger
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Denoising Neural Reranker for Recommender Systems
Wenyu Mao, Shuchang Liu, HailanYang, Xiaobei Wang, Xiaoyu Yang, Xu Gao, Xiang Li, Lantao Hu, Han Li, Kun Gai, An Zhang, Xiang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Dens3R: A Foundation Model for 3D Geometry Prediction
Xianze Fang, Jingnan Gao, Zhe Wang, Zhuo Chen, Xingyu Ren, Jiangjing Lyu, Qiao-Mu Ren, Zhonglei Yang, Xiaokang Yang, Yichao Yan, chengfei lv
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DenseGRPO: From Sparse to Dense Reward for Flow Matching Model Alignment
Haoyou Deng, Keyu Yan, Chaojie Mao, Xiang Wang, Yu Liu, Changxin Gao, Nong Sang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Densemarks: Learning Canonical Embeddings for Human Heads Images via Point Tracks
Dmitrii Pozdeev, Alexey Artemov, Ananta R. Bhattarai, Artem Sevastopolsky
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Deploying Models to Non-participating Clients in Federated Learning without Fine-tuning: A Hypernetwork-based Approach
Yuhao Zhou, Jindi Lv, Yuxin Tian, Dan Si, Qing Ye, Jiancheng Lv
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Depth Anything 3: Recovering the Visual Space from Any Views
Haotong Lin, Sili Chen, Jun Hao Liew, Donny Y. Chen, Zhenyu Li, Yang Zhao, Sida Peng, Hengkai Guo, Xiaowei Zhou, Guang Shi, Jiashi Feng, Bingyi Kang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Depth Anything with Any Prior
zehan wang, Siyu Chen, Lihe Yang, Jialei Wang, Ziang Zhang, Hengshuang Zhao, Zhou Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DepthLM: Metric Depth from Vision Language Models
zhipeng cai, Ching-Feng Yeh, Hu Xu, Zhuang Liu, Gregory P. Meyer, Xinjie Lei, Changsheng Zhao, Shang-Wen Li, Vikas Chandra, Yangyang Shi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Derandomized Online-to-Non-convex Conversion for Stochastic Weakly Convex Optimization
Fanfan Ji, Xiaotong Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Designing Affine-Invariant Neural Networks for Photometric Corruption Robustness and Generalization
Mounir Messaoudi, Quentin Rapilly, Sébastien Herbreteau, Anaïs Badoual, Charles Kervrann
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Designing Rules to Pick a Rule: Aggregation by Consistency
Ratip Emin Berker, Ben Armstrong, Vincent Conitzer, Nihar Shah
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Designing Time Series Experiments in A/B Testing with Transformer Reinforcement Learning
Xiangkun Wu, Qianglin Wen, Yingying Zhang, Hongtu Zhu, Ting Li, Chengchun Shi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Detect, Decide, Unlearn: A Transfer-Aware Framework for Continual Learning
Yiwen Wang, Diana Benavides-Prado, Yun Sing Koh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models
Yongding Tao, Tian Wang, Yihong Dong, Huanyu Liu, Kechi Zhang, Hu XiaoLong, Ge Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Detecting Data Contamination in LLMs via In-Context Learning
Michał Zawalski, Meriem Boubdir, Klaudia Bałazy, Besmira Nushi, Pablo Ribalta
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Detecting Invariant Manifolds in ReLU-Based RNNs
Lukas Eisenmann, Alena Brändle, Zahra Monfared, Daniel Durstewitz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Detecting Misbehaviors of Large Vision-Language Models by Evidential Uncertainty Quantification
Tao Huang, Rui Wang, Xiaofei Liu, Yi Qin, Li Duan, Liping Jing
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Detecting Temporal Misalignment Attacks in Multimodal Fusion for Autonomous Driving
Md Hasan Shahriar, Mohaimin Al Barat, Harshavardhan Sundar, Ning Zhang, Naren Ramakrishnan, Thomas Hou, Wenjing Lou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Detecting and Mitigating Memorization in Diffusion Models through Anisotropy of the Log-Probability
Rohan Asthana, Vasileios Belagiannis
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Detection of unknown unknowns in autonomous systems
Ayan Banerjee, Sandeep Gupta
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Detective SAM: Adaptive AI-Image Forgery Localization
Gert Lek, Nicolas van Schaik, Chaoyi Zhu, Pin-Yu Chen, Robert Birke, Lydia Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Deterministic Bounds and Random Estimates of Metric Tensors on Neuromanifolds
Ke Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DevOps-Gym: Benchmarking AI Agents in Software DevOps Cycle
Yuheng Tang, Kaijie Zhu, Bonan Ruan, Chuqi Zhang, Michael Yang, Hongwei Li, Suyue Guo, Tianneng Shi, Zekun Li, Christopher Kruegel, Giovanni Vigna, Dawn Song, William Wang, Lun Wang, Yangruibo Ding, Zhenkai Liang, Wenbo Guo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Developmental Federated Tuning: A Cognitive-Inspired Paradigm for Efficient LLM Adaptation
Yebo Wu, Jingguang Li, Zhijiang Guo, Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DexMove: Learning Tactile-Guided Non-Prehensile Manipulation with Dexterous Hands
Pei Lin, Yuzhe Huang, Wanlin Li, Chenxi Xiao, Ziyuan Jiao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DexNDM: Closing the Reality Gap for Dexterous In-Hand Rotation via Joint-Wise Neural Dynamics Model
Xueyi Liu, He Wang, Li Yi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DiCache: Let Diffusion Model Determine Its Own Cache
Jiazi Bu, Pengyang Ling, Yujie Zhou, Yibin Wang, Yuhang Zang, Dahua Lin, Jiaqi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DiMeR: Disentangled Mesh Reconstruction Model with Normal-only Geometry Training
Lutao Jiang, Jiantao Lin, Kanghao Chen, Wenhang Ge, Xin Yang, Yifan Jiang, Yuanhuiyi Lyu, Xu Zheng, LI JING, Yinchuan Li, YINGCONG CHEN
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DiSRouter: Distributed Self-Routing for LLM Selections
Hang Zheng, Hongshen Xu, Yongkai LIN, Shuai Fan, Lu Chen, Kai Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DiVE-k: DIFFERENTIAL VISUAL REASONING FOR FINE-GRAINED IMAGE RECOGNITION
Raja Kumar, Arka Sadhu, Ram Nevatia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DiVeQ: Differentiable Vector Quantization Using the Reparameterization Trick
Mohammad Vali, Tom Bäckström, Arno Solin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DiaBlo: Diagonal Blocks Are Sufficient For Finetuning
Selcuk Gurses, Aozhong Zhang, Yanxia Deng, Xun Dong, Xin Li, Naigang Wang, Penghang Yin, Zi Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Diagnosing Generalization Failures from Representational Geometry Markers
Chi-Ning Chou, Artem Kirsanov, Yao-Yuan Yang, SueYeon Chung
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Diagnosing and Improving Diffusion Models by Estimating the Optimal Loss Value
Yixian Xu, Shengjie Luo, Liwei Wang, Di He, Chang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning
Kai Xiong, Xiao Ding, Yixin Cao, Li Du, jiahao ying, yang zhao, Bing Qin, Ting Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Dichotomous Diffusion Policy Optimization
Ruiming Liang, Yinan Zheng, Kexin ZHENG, Tianyi Tan, Jianxiong Li, Liyuan Mao, Zhihao Wang, Guang Chen, Hangjun Ye, Jingjing Liu, Jinqiao Wang, Xianyuan Zhan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DiffAdapt: Difficulty-Adaptive Reasoning for Token-Efficient LLM Inference
Xiang Liu, Xuming Hu, Xiaowen Chu, Eunsol Choi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DiffBED: Scaling Bayesian Experimental Design to High-Dimensions
Adhithya Saravanan, Rik Knowles, Gavin Kerrigan, Tom Rainforth
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DiffInk: Glyph- and Style-Aware Latent Diffusion Transformer for Text to Online Handwriting Generation
Wei Pan, Huiguo He, Hiuyi Cheng, Yilin Shi, Lianwen Jin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DiffPBR: Point-Based Rendering via Spatial-Aware Residual Diffusion
Yiping Xie, Yuchi Huo, Yunlong Ran, Zijian Huang, Lincheng Li, Yingfeng Chen, Jiming Chen, Qi Ye
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DiffSDA: Unsupervised Diffusion Sequential Disentanglement Across Modalities
Hedi Zisling, Ilan Naiman, Nimrod Berman, Supasorn Suwajanakorn, Omri Azencot
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DiffSparse: Accelerating Diffusion Transformers with Learned Token Sparsity
Haowei Zhu, Ji Liu, Ziqiong Liu, Dong Li, Jun-Hai Yong, Bin Wang, Emad Barsoum
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DiffTrans: Differentiable Geometry-Materials Decomposition for Reconstructing Transparent Objects
Changpu Li, Shuang Wu, Songlin Tang, Guangming Lu, Jun Yu, Wenjie Pei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DiffVax: Optimization-Free Image Immunization Against Diffusion-Based Editing
Tarik Can Ozden, Ozgur Kara, Oguzhan Akcin, Kerem Zaman, Shashank Srivastava, Sandeep Chinchali, James Rehg
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DiffWind: Physics-Informed Differentiable Modeling of Wind-Driven Object Dynamics
Yuanhang Lei, Boming Zhao, Zesong Yang, Xingxuan Li, Tao Cheng, Haocheng Peng, Ru Zhang, yang yang, Siyuan Huang, Yujun Shen, Ruizhen Hu, Hujun Bao, Zhaopeng Cui
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Difference Predictive Coding for Training Spiking Neural Networks
Ville Karlsson, Nicklas Fianda, Joni-Kristian Kamarainen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Difference-Aware Retrieval Policies for Imitation Learning
Quinn Pfeifer, Ethan Pronovost, Paarth Shah, Khimya Khetarpal, Siddhartha Srinivasa, Abhishek Gupta
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Differentiable JPEG-based Input Perturbation for Knowledge Distillation Amplification via Conditional Mutual Information Maximization
SIYU CHEN, Kaixiang Zheng, Ahmed Hussien Salamah, EN-HUI YANG
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Differentiable Lifting for Topological Neural Networks
Jorge Franco, Gabriel Duarte, Alexander Nikitin, Moacir Ponti, Diego Mesquita, Amauri Souza
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Differentiable Model Predictive Control on the GPU
Emre Adabag, Marcus Greiff, John Subosits, Thomas Lew
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Differentiable Simulation of Hard Contacts with Soft Gradients for Learning and Control
Anselm Paulus, Andreas René Geist, Pierre Schumacher, Vít Musil, Simon Rappenecker, Georg Martius
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Differential Fine-Tuning Large Language Models Towards Better Diverse Reasoning Abilities
Xiaosong Yuan, Chen Shen, Shaotian Yan, kaiyuan liu, Xiaofeng Zhang, Sinan Fan, Liang Xie, Wenxiao Wang, Renchu Guan, Ying Wang, Jieping Ye
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Differentially Private Domain Discovery
Vinod Raman, Travis Dick, Matthew Joseph
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Differentially Private Equilibrium Finding in Polymatrix Games
Mingyang Liu, Gabriele Farina, Asuman Ozdaglar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Differentially Private Two-Stage Gradient Descent for Instrumental Variable Regression
Haodong Liang, Yanhao Jin, Krishna Balasubramanian, Lifeng Lai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Difficult Examples Hurt Unsupervised Contrastive Learning: A Theoretical Perspective
Yi-Ge Zhang, Jingyi Cui, Qiran Li, Yisen Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Difficulty–Diversity Collaborative Filtering for Data-Efficient LLM Fine-Tuning
Long Hoang, Wenxuan Zhang, Wei Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation
Shansan Gong, Ruixiang Zhang, Huangjie Zheng, Jiatao Gu, Navdeep Jaitly, Lingpeng Kong, Yizhe Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DiffuDETR: Rethinking Detection Transformers with Denoising Diffusion Process
Youssof Nawar, Mohamed Badran, Marwan Torki
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DiffuGuard: How Intrinsic Safety is Lost and Found in Diffusion Large Language Models
Zherui Li, Zheng Nie, Zhenhong Zhou, Yue Liu, Yitong Zhang, Yu Cheng, Qingsong Wen, Kun Wang, Yufei Guo, Jiaheng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Diffusion & Adversarial Schrödinger Bridges via Iterative Proportional Markovian Fitting
Sergei Kholkin, Grigoriy Ksenofontov, David Li, Nikita Kornilov, Nikita Gushchin, Alexandra Suvorikova, Alexey Kroshnin, Evgeny Burnaev, Aleksandr Korotin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Diffusion Alignment as Variational Expectation-Maximization
Jaewoo Lee, Minsu Kim, Sanghyeok Choi, Inhyuck Song, Sujin Yun, Hyeongyu Kang, Woocheol Shin, Taeyoung Yun, Kiyoung Om, Jinkyoo Park
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Diffusion Blend: Inference-Time Multi-Preference Alignment for Diffusion Models
Min Cheng, Fatemeh Doudi, Dileep Kalathil, Mohammad Ghavamzadeh, Panganamala Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Diffusion Bridge Variational Inference for Deep Gaussian Processes
Jian Xu, Delu Zeng, Qibin Zhao, John Paisley
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Diffusion Fine-Tuning via Reparameterized Policy Gradient of the Soft Q-Function
Hyeongyu Kang, Jaewoo Lee, Woocheol Shin, Kiyoung Om, Jinkyoo Park
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing
Xu Wang, Chenkai Xu, Yijie Jin, Jiachun Jin, Hao Zhang, Kai Yu, Zhijie Deng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Diffusion Language Model Knows the Answer Before It Decodes
Pengxiang Li, Yefan Zhou, Dilxat Muhtar, Lu Yin, Shilin Yan, Li Shen, Yi Liang, Soroush Vosoughi, Shiwei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Diffusion Language Models are Provably Optimal Parallel Samplers
Haozhe Jiang, Nika Haghtalab, Lijie Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Diffusion Models as Dataset Distillation Priors
Duo Su, Huyu Wu, Huanran Chen, Yiming Shi, Yuzhu Wang, Xi Ye, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Diffusion Negative Preference Optimization Made Simple
Joshua Tian Jin Tee, Hee Suk Yoon, Sunjae Yoon, Tri Ton, Chang Yoo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Diffusion Transformers with Representation Autoencoders
Boyang Zheng, Nanye Ma, Shengbang Tong, Saining Xie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Diffusion and Flow-based Copulas: Forgetting and Remembering Dependencies
David Huk, Theodoros Damoulas
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Diffusion-DFL: Decision-focused Diffusion Models for Stochastic Optimization
Zihao Zhao, Christopher Yeh, Lingkai Kong, Kai Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DiffusionBlocks: Block-wise Neural Network Training via Diffusion Interpretation
Makoto Shing, Masanori Koyama, Takuya Akiba
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DiffusionNFT: Online Diffusion Reinforcement with Forward Process
Kaiwen Zheng, Huayu Chen, Haotian Ye, Haoxiang Wang, Qinsheng Zhang, Kai Jiang, Hang Su, Stefano Ermon, Jun Zhu, Ming-Yu Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Dimension-Free Decision Calibration for Nonlinear Loss Functions
Jingwu Tang, Jiayun Wu, Steven Wu, Jiahao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DirMoE: Dirichlet-Routed Mixture of Experts
Amirhossein Vahidi, Hesam Asadollahzadeh, Navid Akhavan Attar, Marie Moullet, Kevin Ly, Xingyi Yang, Mohammad Lotfollahi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Direct Doubly Robust Estimation of Conditional Quantile Contrasts
Josh Givens, Song Liu, Henry W J Reeve, Katarzyna Reluga
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Direct Preference Optimization for Primitive-Enabled Hierarchical RL: A Bilevel Approach
Utsav Singh, Souradip Chakraborty, Wesley Suttle, Brian Sadler, Derrik Asher, Anit Kumar Sahu, Mubarak Shah, Vinay Purushothaman Namboodiri, Amrit Bedi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Direct Reward Fine-Tuning on Poses for Single Image to 3D Human in the Wild
Seunguk Do, Minwoo Huh, Joonghyuk Shin, Jaesik Park
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding
Manuel Lecha, Andrea Cavallo, Francesca Dominici, Ran Levi, Alessio Del Bue, Elvin Isufi, Pietro Morerio, Claudio Battiloro
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Directional Convergence, Benign Overfitting of Gradient Descent in leaky ReLU two-layer Neural Networks
Ichiro Hashimoto
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Directional Sheaf Hypergraph Networks: Unifying Learning on Directed and Undirected Hypergraphs
Emanuele Mule, Stefano Fiorini, Antonio Purificato, Federico Siciliano, Stefano Coniglio, Fabrizio Silvestri
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Directional Textual Inversion for Personalized Text-to-Image Generation
Kunhee Kim, NaHyeon Park, Kibeom Hong, Hyunjung Shim
Machine Learning
日本大学: 関与なし（対象大学）