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
Multi-Action Self-Improvement For Neural Combinatorial Optimization
Laurin Luttmann, Lin Xie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multi-Agent Debate with Memory Masking
Hongduan Tian, Xiao Feng, Ziyuan ZHAO, XiangyuZhu, Rolan Yan, Bo Han
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies
Han Zhou, Xingchen Wan, Ruoxi Sun, Hamid Palangi, Shariq Iqbal, Ivan Vulić, Anna Korhonen, Sercan Arik
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multi-Agent Guided Policy Optimization
yueheng li, Guangming Xie, Zongqing Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multi-Condition Conformal Selection
Qingyang Hao, Wenbo Liao, Bingyi Jing, Hongxin Wei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multi-Domain Riemannian Graph Gluing for Building Graph Foundation Models
Li Sun, Zhenhao Huang, Silei Chen, Lanxu Yang, Junda Ye, Sen Su, Philip Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multi-Feature Quantized Self-Attention for Fair Large Language Models
Jaeil Park, Sung-Bae Cho
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multi-Head Low-Rank Attention
Songtao Liu, Hongwu Peng, Zhiwei Zhang, Zhengyu Chen, Yue Guo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multi-LCB: Extending LiveCodeBench to Multiple Programming Languages
Maria Ivanova, Pavel Zadorozhny, Rodion Levichev, Ivan Petrov, Adamenko Pavel, Ivan Lopatin, Alexey Kutalev, Dmitrii Babaev
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multi-LLM Adaptive Conformal Inference for Reliable LLM Response
Kangjun Noh, Seongchan Lee, Ilmun Kim, Kyungwoo Song
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multi-Marginal Flow Matching with Adversarially Learnt Interpolants
Oskar Kviman, Kirill Tamogashev, Nicola Branchini, Víctor Elvira, Jens Lagergren, Nikolay Malkin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multi-Object System Identification from Videos
Chunjiang Liu, Xiaoyuan Wang, Qingran Lin, Albert Xiao, Haoyu Chen, Shizheng Wen, Hao Zhang, Lu Qi, Ming-Hsuan Yang, Laszlo A. Jeni, Min Xu, Yizhou Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multi-ReduNet: Interpretable Class-Wise Decomposition of ReduNet
Fengrong Li, Delin Chu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multi-Scale Diffusion-Guided Graph Learning with Power-Smoothing Random Walk Contrast for Multi-View Clustering
Feiyang Chen, Ruiqiang Guo, Zhibin Gu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multi-Scale Hypergraph Meets LLMs: Aligning Large Language Models for Time Series Analysis
Zongjiang Shang, Dongliang Cui, Binqing Wu, Ling Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multi-Subspace Multi-Modal Modeling for Diffusion Models: Estimation, Convergence and Mixture of Experts
Ruofeng Yang, Yongcan Li, Bo Jiang, Cheng Chen, Shuai Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multi-Synaptic Cooperation: A Bio-Inspired Framework for Robust and Scalable Continual Learning
Penghui Li, Zhuang Ma, Yunliang Zang, Qiang YU
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multi-View Encoders for Performance Prediction in LLM-Based Agentic Workflows
Patara Trirat, Wonyong Jeong, Sung Ju Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multi-agent Coordination via Flow Matching
Dongsu Lee, Daehee Lee, Amy Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multi-modal Data Spectrum: Multi-modal Datasets are Multi-dimensional
Divyam Madaan, Varshan Muhunthan, Kyunghyun Cho, Sumit Chopra
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multi-objective Large Language Model Alignment with Hierarchical Experts
Zhuo Li, Guodong DU, Weiyang Guo, Yigeng Zhou, Xiucheng Li, Wenya Wang, Fangming Liu, Yequan Wang, Deheng Ye, Min Zhang, Jing Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multi-state Protein Sequence Design with DynamicMPNN
Alex Abrudan, Sebastian Pujalte Ojeda, Chaitanya Joshi, Matthew Greenig, Felipe Engelberger, Alena Khmelinskaia, Jens Meiler, Michele Vendruscolo, Tuomas Knowles
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models
Lujain Ibrahim, Canfer Akbulut, Rasmi Elasmar, Charvi Rastogi, Minsuk Kahng, Meredith Morris, Kevin McKee, Verena Rieser, Murray Shanahan, Laura Weidinger
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MultiMat: Multimodal Program Synthesis for Procedural Materials using Large Multimodal Models
Jonas Belouadi, Tamy Boubekeur, Adrien Kaiser
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multifidelity Simulation-based Inference for Computationally Expensive Simulators
Anastasia Nastya Krouglova, Hayden Johnson, Basile Confavreux, Michael Deistler, Pedro J Goncalves
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multilevel Control Functional
Kaiyu Li, Yiming Yang, Xiaoyuan Cheng, Yi He, Zhuo Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multilingual Routing in Mixture-of-Experts
Lucas Bandarkar, Chenyuan Yang, Mohsen Fayyaz, Junlin Hu, Nanyun (Violet) Peng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multimodal Aligned Semantic Knowledge for Unpaired Image-text Matching
Laiguo Yin, Yixin Zhang, YUQING SUN, Lizhen Cui
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multimodal Classification via Total Correlation Maximization
Feng Yu, Xiangyu Wu, Yang, Jianfeng Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multimodal Dataset Distillation Made Simple by Prototype-Guided Data Synthesis
Junhyeok Choi, Sangwoo Mo, Minwoo Chae
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multimodal Dataset Distillation via Phased Teacher Models
Shengbin Guo, Hang Zhao, Senqiao Yang, Chenyang Jiang, Yuhang Cheng, Xiangru Peng, Rui Shao, Zhuotao Tian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multimodal LLM-assisted Evolutionary Search for Programmatic Control Policies
Qinglong Hu, Tong Xialiang, Mingxuan Yuan, Fei Liu, Zhichao Lu, Qingfu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multimodal Policy Internalization for Conversational Agents
Zhenhailong Wang, Jiateng Liu, Amin Fazel, Ritesh Sarkhel, Xing Fan, Xiang Li, Chenlei Guo, Heng Ji, Ruhi Sarikaya
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs
Yumin Choi, Dongki Kim, Jinheon Baek, Sung Ju Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multiplayer Nash Preference Optimization
Fang Wu, Xu Huang, Weihao Xuan, Zhiwei Zhang, Yijia Xiao, Frank Wan, Xiaomin Li, Bing Hu, Peng Xia, Jure Leskovec, Yejin Choi
Machine Learning
日本大学: 東京大学
2026 · ICLR
Multiple Token Divergence: Measuring and Steering In-Context Computation Density
Vincent Herrmann, Eric Alcaide, Michael Wand, Jürgen Schmidhuber
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multiple-Prediction-Powered Inference
Charlie Cowen-Breen, Alekh Agarwal, Stephen Bates, William W. Cohen, Jacob Eisenstein, Amir Globerson, Adam Fisch
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multiplicative Diffusion Models: Beyond Gaussian Latents
Robert Gruhlke, Valentin Resseguier, Merveille Talla
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Multiverse Mechanica: A Testbed for Learning Game Mechanics via Counterfactual Worlds
Robert Ness, Ricardo Cannizzaro, Yunshu Wu, Lars Kunze
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Muon Outperforms Adam in Tail-End Associative Memory Learning
Shuche Wang, Fengzhuo Zhang, Jiaxiang Li, Cunxiao Du, Chao Du, Tianyu Pang, Zhuoran Yang, Mingyi Hong, Vincent Tan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MuonBP: Faster Muon via Block-Periodic Orthogonalization
Ahmed Khaled, Kaan Ozkara, Tao Yu, Mingyi Hong, Youngsuk Park
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Musculoskeletal simulation of limb movement biomechanics in Drosophila melanogaster
Pembe Gizem Özdil, Chuanfang Ning, Jasper Phelps, Sibo Wang-Chen, Guy Elisha, Auke Ijspeert, Pavan Ramdya
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Music Flamingo: Scaling Music Understanding in Audio Language Models
Sreyan Ghosh, Arushi Goel, Lasha Koroshinadze, Sang-gil Lee, Zhifeng Kong, Joao Santos, Ramani Duraiswami, Dinesh Manocha, Wei Ping, Mohammad Shoeybi, Bryan Catanzaro
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NAB: Neural Adaptive Binning for Sparse-View CT reconstruction
Wangduo Xie, Matthew Blaschko
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NAIPv2: Debiased Pairwise Learning for Efficient Paper Quality Estimation
Penghai Zhao, Jinyu Tian, Qinghua Xing, Xin Zhang, Zheng Li, Jianjun Qian, Ming-Ming Cheng, Xiang Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NC-Bench and NCfold: A Benchmark and Closed-Loop Framework for RNA Non-Canonical Base-Pair Prediction
Heqin Zhu, Ruifeng Li, Ao Chang, Mingqian Li, Hongyang Chen, Peng Xiong, S Kevin Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NDAD: Negative-Direction Aware Decoding for Large Language Models via Controllable Hallucination Signal Injection
Panjia Qiu, Mingyuan Fan, Cen Chen, Daixin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NEO — No-Optimization Test-Time Adaptation through Latent Re-Centering
Alexander Murphy, Michal Danilowski, Soumyajit Chatterjee, Abhirup Ghosh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NExT-OMNI: Towards Any-to-Any Omnimodal Foundation Models with Discrete Flow Matching
Run Luo, Xiaobo Xia, Lu Wang, Longze Chen, Renke Shan, Jing Luo, Min Yang, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NFT: Bridging Supervised Learning and Reinforcement Learning in Math Reasoning
Huayu Chen, Kaiwen Zheng, Qinsheng Zhang, Ganqu Cui, Yin Cui, Haotian Ye, Tsung-Yi Lin, Ming-Yu Liu, Jun Zhu, Haoxiang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NGS-Marker: Robust Native Watermarking for 3D Gaussian Splatting
Hao Qin, Yukai Sun, Luyuan Chen, Mengxu Lu, Feng Zhang, Ming Kong, Zhenhong Du, Qiang Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NI Sampling: Accelerating Discrete Diffusion Sampling by Token Order Optimization
Enshu Liu, Xuefei Ning, Yu Wang, Zinan Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NIMO: a Nonlinear Interpretable MOdel
Shijian Xu, Marcello Negri, Volker Roth
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NLI : Non-uniform Linear Interpolation Approximation of Nonlinear Operations for Efficient LLMs Inference
Jiangyong Yu, Xiaomeng Han, Xing Hu, XUCHEN, Zhe jiang, Dawei Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NOVA3R: Non-pixel-aligned Visual Transformer for Amodal 3D Reconstruction
Weirong Chen, Chuanxia Zheng, Ganlin Zhang, Andrea Vedaldi, Daniel Cremers
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NRGPT: An Energy-based Alternative for GPT
Nima Dehmamy, Benjamin Hoover, Bishwajit Saha, Leo Kozachkov, Jean-Jacques Slotine, Dmitry Krotov
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Naming to Learn: Class Incremental Learning for Vision-Language Model with Unlabeled Data
Qiwei Li, Xiaochen Yang, Jiahuan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Nano3D: A Training-Free Approach for Efficient 3D Editing Without Masks
Junliang Ye, Shenghao Xie, Ruowen Zhao, Zhengyi Wang, Hongyu Yan, Wenqiang Zu, Lei Ma, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NarrLV: Towards a Comprehensive Narrative-Centric Evaluation for Long Video Generation
Xiaokun Feng, Haiming Yu, Meiqi Wu, Shiyu Hu, Jintao Chen, Chen Zhu, Jiahong Wu, Xiangxiang Chu, Kaiqi Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Narrow Finetuning Leaves Clearly Readable Traces in Activation Differences
Julian Minder, Clément Dumas, Stewart Slocum, Helena Casademunt, Cameron Holmes, Robert West, Neel Nanda
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Nasty Adversarial Training: A Probability Sparsity Perspective for Robustness Enhancement
Yuhang Zhou, Zhongyun Hua, Zhaoquan Gu, Keke Tang, Rushi Lan, Yushu Zhang, Qing Liao, Leo Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NatADiff: Adversarial Boundary Guidance for Natural Adversarial Diffusion
Max Collins, Jordan Vice, Tim French, Ajmal Mian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Native Adaptive Solution Expansion for Diffusion-based Combinatorial Optimization
Yu Wang, Yang Li, Jiale Ma, Junchi Yan, Yi Chang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Native Reasoning Models: Training Language Models to Reason on Unverifiable Data
Yuanfu Wang, Zhixuan Liu, Xiangtian Li, Chaochao Lu, yang chao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Natural Identifiers for Privacy and Data Audits in Large Language Models
Lorenzo Rossi, Bartłomiej Marek, Franziska Boenisch, Adam Dziedzic
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Natural Language PDDL (NL-PDDL) for Open-world Goal-oriented Commonsense Regression Planning in Embodied AI
Xiaotian Liu, Armin Toroghi, Jiazhou Liang, David Courtis, Ruiwen Li, Ali Pesaranghader, Jaehong Kim, Tanmana Sadhu, Hyejeong Jeon, Scott Sanner
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Navigating the Accuracy-Size Trade-Off with Flexible Model Merging
Akash Dhasade, Divyansh Jhunjhunwala, Milos Vujasinovic, Gauri Joshi, Anne-Marie Kermarrec
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Navigating the Latent Space Dynamics of Neural Models
Marco Fumero, Luca Moschella, Emanuele Rodolà, Francesco Locatello
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NeMo-map: Neural Implicit Flow Fields for Spatio-Temporal Motion Mapping
Yufei Zhu, Shih-Min Yang, Andrey Rudenko, Tomasz Kucner, Achim Lilienthal, Martin Magnusson
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NePTune: A Neuro-Pythonic Framework for Tunable Compositional Reasoning on Vision-Language
Danial Kamali, Parisa Kordjamshidi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NeRV-Diffusion: Diffuse Implicit Neural Representation for Video Synthesis
Yixuan Ren, Hanyu Wang, Bo He, Hao Chen, Abhinav Shrivastava
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Near Optimal Robust Federated Learning Against Data Poisoning Attack
Jingfan Yu, Zhixuan Fang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Near-Optimal Online Deployment and Routing for Streaming LLMs
Shaoang Li, Jian Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Near-Optimal Sample Complexity Bounds for Constrained Average-Reward MDPs
Yukuan Wei, Xudong Li, Lin Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Near-Optimal Second-Order Guarantees for Model-Based Adversarial Imitation Learning
Shangzhe Li, Dongruo Zhou, Weitong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Nearly Space-Optimal Graph and Hypergraph Sparsification in Insertion-Only Data Streams
Vincent Cohen-Addad, David Woodruff, Shenghao Xie, Samson Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Nearly-Optimal Bandit Learning in Stackelberg Games with Side Information
Nina Balcan, Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Keegan Harris, Steven Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Nef-Net v2: Adapting Electrocardio Panorama in the wild
Zehui Zhan, Yaojun Hu, Jiajing Zhang, Wanchen Lian, Wanqing Wu, Jintai Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Negative Pre-activations Differentiate Syntax
Linghao Kong, Angelina Ning, Micah Adler, Nir Shavit
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Negotiated Reasoning: On Provably Addressing Relative Over-Generalization
Junjie Sheng, Yantian Wang, Bo Jin, Hongyuan Zha, Jun Wang, Wenhao Li, Xiangfeng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining Dataset
Rabeeh Karimi Mahabadi, Sanjeev Satheesh, Shrimai Prabhumoye, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Shaokun Zhang, Yi Dong, Jieyu Zhang, Jan Kautz, Bryan Catanzaro, Andrew Tao, Qingyun Wu, Zhiding Yu, Guilin Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Neodragon: Mobile Video Generation Using Diffusion Transformer
Animesh Karnewar, Denis Korzhenkov, Ioannis Lelekas, Noor Fathima, Adil Karjauv, Mohsen Ghafoorian, Amirhossein Habibian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Neologism Learning for Controllability and Self-Verbalization
John Hewitt, Oyvind Tafjord, Robert Geirhos, Been Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Neon: Negative Extrapolation From Self-Training Improves Image Generation
sina alemohammad, Zhangyang Wang, Richard Baraniuk
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NerVE: Nonlinear Eigenspectrum Dynamics in LLM Feed-Forward Networks
Nandan Kumar Jha, Brandon Reagen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Nesterov Finds GRAAL: Optimal and Adaptive Gradient Method for Convex Optimization
Ekaterina Borodich, Dmitry Kovalev
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NetArena: Dynamic Benchmarks for AI Agents in Network Automation
Yajie (Lesley) Zhou, Jiajun Ruan, Eric Wang, Sadjad Fouladi, Francis Yan, Kevin Hsieh, Zaoxing Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
NeuCLIP: Efficient Large-Scale CLIP Training with Neural Normalizer Optimization
Xiyuan Wei, Chih-Jen Lin, Tianbao Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Neural Collapse in Multi-Task Learning
Youjun Wang, Boqi Li, Xin Zou, Weiwei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Neural Compression of 3D Meshes using Sparse Implicit Representation
Jianqiang Wang, Siyu Ren, Junhui Hou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Neural Dynamics Self-Attention for Spiking Transformers
Dehao Zhang, Fukai Guo, Shuai Wang, Jingya Wang, Jieyuan Zhang, Yimeng Shan, Malu Zhang, Yang, Haizhou Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Neural Force Field: Few-shot Learning of Generalized Physical Reasoning
Shiqian Li, Ruihong Shen, Yaoyu Tao, Chi Zhang, Yixin Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Neural Graduated Assignment for Maximum Common Edge Subgraphs
Chaolong Ying, Yingqi Ruan, Xuemin Chen, Yaomin Wang, Tianshu Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Neural Hamilton--Jacobi Characteristic Flows for Optimal Transport
Yesom Park, Shu Liu, Mo Zhou, Stanley J Osher
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Neural Latent Arbitrary Lagrangian-Eulerian Grids for Fluid-Solid Interaction
Shilong Tao, Zhe Feng, Shaohan Chen, Weichen Zhang, Zhanxing Zhu, Yunhuai Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Neural Message-Passing on Attention Graphs for Hallucination Detection
Fabrizio Frasca, Guy Bar-Shalom, Yftah Ziser, Haggai Maron
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Neural Multi-Objective Combinatorial Optimization for Flexible Job Shop Scheduling Problems
Igor Smit, Yaoxin Wu, Pavel Troubil, Yingqian Zhang, Wim P.M. Nuijten
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Neural Networks Learn Generic Multi-Index Models Near Information-Theoretic Limit
Bohan Zhang, Zihao Wang, Hengyu Fu, Jason Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Neural Optimal Transport Meets Multivariate Conformal Prediction
Vladimir Kondratyev, Alexander Fishkov, Mahmoud Hegazy, Nikita Kotelevskii, Rémi Flamary, Maxim Panov, Eric Moulines
Machine Learning
日本大学: 関与なし（対象大学）