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
DESIGNER: Design-Logic-Guided Multidisciplinary Data Synthesis for LLM Reasoning
Weize Liu, Yongchi Zhao, Yijia Luo, Mingyu Xu, JIAHENG LIU, Yanan Li, Xiguo Hu, Zhiqi Bai, Yuchi Xu, wenbo su, Bo Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DETR-ViP: Detection Transformer with Robust Discriminative Visual Prompts
Bo Qian, Dahu Shi, Xing Wei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DGNet: Discrete Green Networks for Data-Efficient Learning of Spatiotemporal PDEs
Yingjie Tan, Quanming Yao, Yaqing Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DHG-Bench: A Comprehensive Benchmark for Deep Hypergraph Learning
Fan Li, Xiaoyang Wang, Wenjie Zhang, Ying Zhang, Xuemin Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DISCO: Diversifying Sample Condensation for Efficient Model Evaluation
Alexander Rubinstein, Benjamin Raible, Martin Gubri, Seong Joon Oh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DISK: Differentiable Sparse Kernel Complex for Efficient Spatially-Variant Convolution
Zhizhen Wu, Zhe Cao, Yuchi Huo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DIVA-GRPO: Enhancing Multimodal Reasoning through Difficulty-Adaptive Variant Advantage
Haowen Gao, zhenyu zhang, Liang Pang, Fangda Guo, hongjian dou, Guannan Lv, ShaoGuo Liu, Tingting Gao, Huawei Shen, Xueqi Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DIVERSE: Disagreement-Inducing Vector Evolution for Rashomon Set Exploration
Gilles Eerlings, Brent Zoomers, Jori Liesenborgs, Gustavo Rovelo Ruiz, Kris Luyten
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DM4CT: Benchmarking Diffusion Models for Computed Tomography Reconstruction
Jiayang Shi, Daniel Pelt, Joost Batenburg
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DMAP: A Distribution Map for Text
Tom Kempton, Julia Rozanova, Parameswaran Kamalaruban, Maeve Madigan, Karolina Wresilo, Yoann Launay, David Sutton, Stuart Burrell
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DND: Boosting Large Language Models with Dynamic Nested Depth
Tieyuan Chen, Xiaodong Chen, Haoxing Chen, Zhenzhong Lan, Weiyao Lin, Jianguo Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DNT: a Deeply Normalized Transformer that can be trained by Momentum SGD
Xianbiao Qi, Marco Chen, Wenjie Xiao, Jiaquan Ye, Yelin He, Chun-Guang Li, Zhouchen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DOPPLER: Dual-Policy Learning for Device Assignment in Asynchronous Dataflow Graphs
Xinyu Yao, Daniel Bourgeois, Abhinav Jain, Yuxin Tang, Jiawen Yao, Zhimin Ding, Arlei Silva, Chris Jermaine
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DP-Fusion: Token-Level Differentially Private Inference for Large Language Models
Rushil Thareja, Preslav Nakov, Praneeth Vepakomma, Nils Lukas
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DPQuant: Efficient and Private Model Training via Dynamic Quantization Scheduling
Yubo Gao, Renbo Tu, Gennady Pekhimenko, Nandita Vijaykumar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DPad: Efficient Diffusion Language Models with Suffix Dropout
Xinhua Chen, Sitao Huang, Cong Guo, Chiyue Wei, Yintao He, Jianyi Zhang, Hai Li, Yiran Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DR-GGAD: Dual Residual Centering for Mitigating Anomaly Non‑Discriminativity in Generalist Graph Anomaly Detection
Changlong Fu, Zhenli He, Xiong Zhang, Cheng Xie, Xin Jin, Yun Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty
Mingxuan Cui, Duo Zhou, Yuxuan Han, Grani A. Hanasusanto, Qiong Wang, Huan Zhang, Zhengyuan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DR-Submodular Maximization with Stochastic Biased Gradients: Classical and Quantum Gradient Algorithms
Shengminjie Chen, Xiaoming Sun, Wenguo Yang, Jialin Zhang, Zihan Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DRAGON: Guard LLM Unlearning in Context via Negative Detection and Reasoning
Yaxuan Wang, Yuhao Liu, Quan Liu, Jinlong Pang, Wei Wei, Yujia Bao, Yang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DRBench: A Realistic Benchmark for Enterprise Deep Research
Amirhossein Abaskohi, Tianyi Chen, Miguel Muñoz-Mármol, Curtis Fox, Amrutha Varshini Ramesh, Étienne Marcotte, Xing Han Lu, Nicolas Chapados, Spandana Gella, Christopher Pal, Alexandre Drouin, Issam Laradji
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DRIFT-Net: A Spectral-Coupled Neural Operator for PDEs Learning
jiayi li, Flora Salim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DRIFT: Decompose, Retrieve, Illustrate, then Formalize Theorems
Meiru Zhang, Philipp Borchert, Milan Gritta, Gerasimos Lampouras
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DRIFT: Divergent Response in Filtered Transformations for Robust Adversarial Defense
Amira Guesmi, Muhammad Shafique
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DRIFT: Learning from Abundant User Dissatisfaction in Real-World Preference Learning
Yifan Wang, Bolian Li, Junlin Wu, Zhaoxuan Tan, Zheli Liu, Ruqi Zhang, Ananth Grama, Qingkai Zeng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DRPO: Efficient Reasoning via Decoupled Reward Policy Optimization
Gang Li, Yan Chen, Ming Lin, Tianbao Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DSA: Efficient Inference For Video Generation Models via Distributed Sparse Attention
Shenggui Li, Runyu Lu, qiaoling chen, Haiyan Yin, YUEMING LYU, Yonggang Wen, Ivor Tsang, Tianwei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DTO-KD: Dynamic Trade-off Optimization for Effective Knowledge Distillation
Zeeshan Hayder, Ali Cheraghian, Lars Petersson, Mehrtash Harandi, Richard Hartley
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DTP: Delta-Guided Two Stage Pruning for Mamba-based Multimodal Large Language Models
Seong Yeol Park, Kwon Min Jung, XIANGHUA PIAO, Yeong Hyeon Gu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DUET: Distilled LLM Unlearning from an Efficiently Contextualized Teacher
Yisheng Zhong, Zhengbang Yang, Zhuangdi Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DUET: Optimizing LLM Training Data Mixtures via Noisy Feedback from Unseen, Downstream Evaluation Tasks
Zhiliang Chen, Gregory Kang Ruey Lau, Chuan Sheng Foo, Bryan Kian Hsiang Low
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DVD-Quant: Data-free Video Diffusion Transformers Quantization
Zhiteng Li, Hanxuan Li, Junyi Wu, Kai Liu, Haotong Qin, Linghe Kong, Guihai Chen, Yulun Zhang, Xiaokang Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DVLA-RL: Dual-Level Vision–Language Alignment with Reinforcement Learning Gating for Few-Shot Learning
Wenhao Li, Xianjing Meng, Qiangchang Wang, Zhongyi Han, Zhibin Wu, Yilong Yin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DaVinci: Reinforcing Visual-Structural Syntax in MLLMs for Generalized Scientific Diagram Parsing
Xingchen ZENG, Zhewei Su, Hengming Zhang, Juyong Jiang, Jiazhi Xia, Wei Zeng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DanceTogether: Generating Interactive Multi-Person Video without Identity Drifting
Junhao Chen, Mingjin Chen, Jianjin Xu, Xiang Li, Junting Dong, Mingze Sun, puhua jiang, Hongxiang Li, Yuhang Yang, Hao Zhao, Xiao-Xiao Long, Ruqi Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Dancing in Chains: Strategic Persuasion in Academic Rebuttal via Theory of Mind
Zhitao He, Zongwei LYU, Yi R. Fung
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Darwin Gödel Machine: Open-Ended Evolution of Self-Improving Agents
Jenny Zhang, Shengran Hu, Cong Lu, Robert Lange, Jeff Clune
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Data Provenance for Image Auto-Regressive Generation
Bihe Zhao, Louis Kerner, Michel Meintz, Tameem Bakr, Franziska Boenisch, Adam Dziedzic
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Data Selection for LLM Alignment Using Fine-Grained Preferences
Jia Zhang, Yao Liu, Chen-Xi Zhang, Yi Liu, Yi-Xuan Jin, Lan-Zhe Guo, Yu-Feng Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Data-Aware and Scalable Sensitivity Analysis for Decision Tree Ensembles
Namrita Varshney, Ashutosh Gupta, Arhaan Ahmad, Tanay Tayal, S. Akshay
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Data-Centric Lessons To Improve Speech-Language Pretraining
Vishaal Udandarao, Zhiyun Lu, Xuankai Chang, Yongqiang Wang, Albin Madappally Jose, Fartash Faghri, Josh Gardner, Chung-Cheng Chiu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Data-to-Energy Stochastic Dynamics
Kirill Tamogashev, Nikolay Malkin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DataMIL: Selecting Data for Robot Imitation Learning with Datamodels
Shivin Dass, Alaa Khaddaj, Logan Engstrom, Aleksander Madry, Andrew Ilyas, Roberto Martín-Martín
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Dataless Weight Disentanglement in Task Arithmetic via Kronecker-Factored Approximate Curvature
Angelo Porrello, Pietro Buzzega, Felix Dangel, Thomas Sommariva, Riccardo Salami, Lorenzo Bonicelli, Simone Calderara
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Dataset Color Quantization: A Training-Oriented Framework for Dataset-Level Compression
YU CHENYUE, Lingao Xiao, Jinhong Deng, Ivor Tsang, Yang He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Dataset Distillation as Pushforward Optimal Quantization
Hong Ye Tan, Emma Slade
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Dataset Distillation for Memorized Data: Soft Labels can Leak Held-Out Teacher Knowledge
Freya Behrens, Lenka Zdeborova
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DeAltHDR: Learning HDR Video Reconstruction from Degraded Alternating Exposure Sequences
Shuohao Zhang, Zhilu Zhang, RongJian Xu, Xiaohe Wu, Wangmeng Zuo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection
siheng wang, Yanshu Li, Bohan Hu, Zhengdao Li, HaiboZhan, Linshan Li, Weiming Liu, Ruizhi Qian, Guangxin Wu, Hao Zhang, Jifeng Shen, Piotr Koniusz, Zhengtao Yao, Junhao Dong, Qiang Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DeLeaker: Dynamic Inference-Time Reweighting For Semantic Leakage Mitigation in Text-to-Image Models
Mor Ventura, Michael Toker, Or Patashnik, Yonatan Belinkov, Roi Reichart
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DeLiVR: Differential Spatiotemporal Lie Bias for Efficient Video Deraining
Shuning Sun, Jialang Lu, Xiang Chen, Jichao Wang, Dianjie Lu, Guijuan Zhang, Guangwei Gao, Zhuoran Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DeMo: Decoupled Momentum Optimization
Bowen Peng, Lizhang Chen, Baiyu Su, Jeffrey Quesnelle, Diederik (Durk) Kingma, Qiang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DeNOTS: Stable Deep Neural ODEs for Time Series
Ilya Kuleshov, Evgenia Romanenkova, Vladislav Zhuzhel, Galina Boeva, Evgeni Vorsin, Alexey Zaytsev
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DeRaDiff: Denoising Time Realignment of Diffusion Models
Ratnavibusena Don Shahain Manujith, Teoh Tzun, Kenji Kawaguchi, Yang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Death of the Novel(ty): Beyond N-Gram Novelty as a Metric for Textual Creativity
Arkadiy Saakyan, Najoung Kim, Smaranda Muresan, Tuhin Chakrabarty
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Debiased Front-Door Learners for Heterogeneous Effects
Yonghan Jung
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Debiased and Denoised Representation Learning for Incomplete Multi-view Clustering
Qianqian Wang, Xurui Liao, Wei Feng, Quanxue Gao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Debugging Concept Bottleneck Models through Removal and Retraining
Eric Enouen, sainyam galhotra
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning
Chengxuan Qian, Shuo Xing, Li, Yue Zhao, Zhengzhong Tu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Decentralized Attention Fails Centralized Signals: Rethinking Transformers for Medical Time Series
Yu Guoqi, Juncheng Wang, Chen Yang, Jing Qin, Angelica Aviles-Rivero, Shujun Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Decentralized Nonconvex Optimization under Heavy-Tailed Noise: Normalization and Optimal Convergence
Shuhua Yu, Dusan Jakovetic, Soummya Kar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Decision Aggregation under Quantal Response
Zhihuan Huang, Yichong Xia, Yuqing Kong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Decision-Theoretic Approaches for Improved Learning-Augmented Algorithms
Spyros Angelopoulos, Christoph Dürr, Georgii Melidi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Decoding Dynamic Visual Experience from Calcium Imaging via Cell-Pattern-Aware Pretraining
Sangyoon Bae, Mehdi Azabou, Blake A Richards, Jiook Cha
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Decoding Open-Ended Information Seeking Goals from Eye Movements in Reading
Hadar, Omer Shubi, Yoav Meiri, Amit Heshes, Yevgeni Berzak
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DecompGAIL: Learning Realistic Traffic Behaviors with Decomposed Multi-Agent Generative Adversarial Imitation Learning
Ke Guo, Haochen Liu, XIAOJUN WU, Chen Lv
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Decomposed Attention Fusion in MLLMs for Training-free Video Reasoning Segmentation
Su Ho Han, Jeongseok Hyun, Pilhyeon Lee, Minho Shim, Dongyoon Wee, Seon Joo Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Decomposing LLM Computation with Jets
Yihong Chen, Xiangxiang Xu, Pontus Stenetorp, Sebastian Riedel, Luca Franceschi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Decomposing Representation Space into Interpretable Subspaces with Unsupervised Learning
Xinting Huang, Michael Hahn
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Decomposition of Concept-Level Rules in Visual Scenes
Fan Shi, Yuxuan Liang, Xiaolei Chen, Haiyang Yu, Xu Li, Yi Zheng, Rui Zhu, Xiangyang Xue, Bin Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Deconstructing Guidance: A Semantic Hierarchy for Precise Diffusion Model Editing
Wootaek Jeong, Junghyo Sohn, Jee Seok Yoon, Heung-Il Suk
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Deconstructing Positional Information: From Attention Logits to Training Biases
Zihan Gu, Ruoyu Chen, Han Zhang, Hua Zhang, Yue Hu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Decoupled DMD: CFG Augmentation as the Spear, Distribution Matching as the Shield
Dongyang Liu, Gao Peng, David Liu, DU, Zhen Li, Qilong Wu, Xin Jin, Sihan Cao, Shifeng Zhang, Steven HOI, Hongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Decoupled MeanFlow: Turning Flow Models into Flow Maps for Accelerated Sampling
Kyungmin Lee, Sihyun Yu, Jinwoo Shin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Decoupled Q-Chunking
Qiyang Li, Seohong Park, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Decoupling Dynamical Richness from Representation Learning: Towards Practical Measurement
Yoonsoo Nam, Nayara Fonseca, Seok Hyeong Lee, Chris Mingard, Niclas Göring, Ouns El Harzli, Abdurrahman Erturk, Soufiane Hayou, Ard Louis
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Decoupling Positional and Symbolic Attention in Transformers
Felipe Urrutia, Jorge Salas, Alexander Kozachinskiy, Cristian Calderon, Hector Pasten, Cristobal Rojas
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Decoupling Primitive with Experts: Dynamic Feature Alignment for Compositional Zero-Shot Learning
Xiao Zhang, Haodong Jing, YONGQIANG MA, Nanning Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Decoupling the Class Label and the Target Concept in Machine Unlearning
Jianing ZHU, Bo Han, Jiangchao Yao, Jianliang Xu, Gang Niu, Masashi Sugiyama
Machine Learning
日本大学: 東京大学
2026 · ICLR
Deep FlexQP: Accelerated Nonlinear Programming via Deep Unfolding
Alex Oshin, Rahul Ghosh, Augustinos Saravanos, Evangelos Theodorou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Deep Global-sense Hard-negative Discriminative Generation Hashing for Cross-modal Retrieval
Kun Cheng, Qibing Qin, Wenfeng Zhang, Lei Huang, Jie Nie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Deep Hierarchical Learning with Nested Subspace Networks for Large Language Models
Paulius Rauba, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs
Kyle O'Brien, Stephen Casper, Quentin Anthony, Tomek Korbak, Robert Kirk, Xander Davies, Ishan Mishra, Geoffrey Irving, Yarin Gal, Stella R Biderman
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Deep Latent Variable Model based Vertical Federated Learning with Flexible Alignment and Labeling Scenarios
KIHUN HONG, Sejun Park, Ganguk Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Deep Learning for Subspace Regression
Vladimir Fanaskov, Vladislav Trifonov, Alexander Rudikov, Ekaterina Muravleva, Ivan Oseledets
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Deep Learning with Learnable Product-Structured Activations
Saanjali S. Maharaj, Prasanth Nair
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Deep SPI: Safe Policy Improvement via World Models
Florent Delgrange, Raphael Avalos, Willem Röpke
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Deep Think with Confidence
Yichao Fu, Xuewei Wang, Hao Zhang, Yuandong Tian, Jiawei Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Deep-ICE: The first globally optimal algorithm for empirical risk minimization of two-layer maxout and ReLU networks
Xi He, Yi Miao, Max Little
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DeepAFL: Deep Analytic Federated Learning
Jianheng Tang, Yajiang Huang, Kejia Fan, Feijiang Han, Jiaxu Li, Jinfeng Xu, Run He, Anfeng Liu, Houbing Song, Huiping Zhuang, Yunhuai Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DeepCompress: A Dual Reward Strategy for Dynamically Exploring and Compressing Reasoning Chains
Tian Liang, Wenxiang Jiao, Zhiwei He, Jiahao Xu, Haitao Mi, Dong Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning
Ziwei Zheng, Minghao Yang, Jack Hong, Chenxiao Zhao, Guohai Xu, Le Yang, Chao Shen, XingYu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DeepEyesV2: Toward Agentic Multimodal Model
Jack Hong, Chenxiao Zhao, ChengLIn Zhu, Weiheng Lu, Guohai Xu, XingYu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DeepFRC: An End-to-End Deep Learning Model for Functional Registration and Classification
Siyuan Jiang, Yihan Hu, Wenjie Li, Pengcheng Zeng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning
Zhiwei He, Tian Liang, Jiahao Xu, Qiuzhi Liu, Xingyu Chen, Yue Wang, Linfeng Song, Dian Yu, Zhenwen Liang, Wenxuan Wang, Zhuosheng Zhang, Rui Wang, Zhaopeng Tu, Haitao Mi, Dong Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DeepPrim: a Physics-Driven 3D Short-term Weather Forecaster via Primitive Equation Learning
Jiawei Chen, Weiqi Chen, Rong Hu, Peiyuan Liu, Haifan Zhang, Liang Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DeepRAG: Thinking to Retrieve Step by Step for Large Language Models
Xinyan Guan, Jiali Zeng, Fandong Meng, Chunlei Xin, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun, Jie Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents
Mingxuan Du, Benfeng Xu, Chiwei Zhu, Licheng Zhang, Xiaorui Wang, Zhendong Mao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DeepSADR: Deep Transfer Learning with Subsequence Interaction and Adaptive Readout for Cancer Drug Response Prediction
Yuanpeng Zhang, Zhijian Huang, Ziyu Fan, Siyuan Shen, Yahan Li, Shangqian Wu, Min Wu, Lei Deng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
DeepScientist: Advancing Frontier-Pushing Scientific Findings Progressively
Yixuan Weng, Minjun Zhu, Qiujie Xie, QiYao Sun, Zhen Lin, Sifan Liu, Yue Zhang
Machine Learning
日本大学: 関与なし（対象大学）