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
Panda: A pretrained forecast model for chaotic dynamics
Jeffrey Lai, Anthony Bao, William Gilpin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Panoptic Pairwise Distortion Graph
Muhammad Kamran Janjua, Abdul Wahab, Bahador Rashidi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Paper Copilot: Tracking the Evolution of Peer Review in AI Conferences
Jing Yang, Qiyao Wei, Jiaxin Pei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
Minju Seo, Jinheon Baek, Seongyun Lee, Sung Ju Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ParaRNN: Unlocking Parallel Training of Nonlinear RNNs for Large Language Models
Federico Danieli, Pau Rodriguez, Miguel Sarabia, Xavier Suau, Luca Zappella
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ParaS2S: Benchmarking and Aligning Spoken Language Models for Paralinguistic-aware Speech-to-Speech Interaction
Shu-wen Yang, Ming Tu, Ting-Wei Liu, Xinghua Qu, Hung-yi Lee, Lu Lu, Yuxuan Wang, Yonghui Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Paradigm Shift of GNN Explainer from Label Space to Prototypical Representation Space
Jun Yin, Senzhang Wang, Ziluowen Luo, Peng Huo, Hao Yan, Hao Miao, Chaozhuo Li, Shirui Pan, Chengqi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Parallel Sampling from Masked Diffusion Models via Conditional Independence Testing
Iskander Azangulov, Teodora Pandeva, Niranjani Prasad, Javier Zazo, Sushrut Karmalkar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Parallel Token Prediction for Language Models
Felix Draxler, Justus Will, Farrin Sofian, THEOFANIS KARALETSOS, Sameer Singh, Stephan Mandt
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Parallel-R1: Towards Parallel Thinking via Reinforcement Learning
Tong Zheng, Hongming Zhang, Wenhao Yu, Xiaoyang Wang, He Xing, Runpeng Dai, Rui Liu, Huiwen Bao, Chengsong Huang, Heng Huang, Dong Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs
Wonjun Kang, Kevin Galim, Seunghyuk Oh, Minjae Lee, Yuchen Zeng, Shuibai Zhang, Coleman Hooper, Yuezhou Hu, Hyung Koo, Nam Ik Cho, Kangwook Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Parameter-Efficient Reinforcement Learning using Prefix Optimization
Itamar Rocha Filho, Rosie Zhao, Sham Kakade, Eran Malach, Samy Jelassi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Parameterization-Based Dataset Distillation of 3D Point Clouds through Learnable Shape Morphing
Dongwook Kim, Jae-Young Yim, Jae-Young Sim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Parameterized Hardness of Zonotope Containment and Neural Network Verification
Vincent Froese, Moritz Grillo, Christoph Hertrich, Moritz Stargalla
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models
Baolong Bi, Shenghua Liu, Yiwei Wang, Yilong Xu, Junfeng Fang, Lingrui Mei, Xueqi Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pareto Variational Autoencoder
Mincheol Cho, Yedarm Seong, Joong-Ho Won
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pareto-Conditioned Diffusion Models for Offline Multi-Objective Optimization
Jatan Shrestha, Santeri Heiskanen, Kari Hepola, Severi Rissanen, Pekka Jääskeläinen, Joni Pajarinen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ParoQuant: Pairwise Rotation Quantization for Efficient Reasoning LLM Inference
Yesheng Liang, Haisheng Chen, Song Han, Zhijian Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Part-X-MLLM: Part-aware 3D Multimodal Large Language Model
Chunshi Wang, Junliang Ye, Yunhan Yang, YANG LI, Zizhuo Lin, Jun Zhu, Zhuo Chen, Yawei Luo, Chunchao Guo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Part-level Semantic-guided Contrastive Learning for Fine-grained Visual Classification
Zhijian Lin, Hong Han
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PartSAM: A Scalable Promptable Part Segmentation Model Trained on Native 3D Data
Zhe Zhu, Le Wan, Rui Xu, Yiheng Zhang, Honghua Chen, Zhiyang Dou, Cheng Lin, Yuan Liu, Mingqiang Wei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Partial Soft-Matching Distance For Neural Representational Comparison With Partial Unit Correspondence
Chaitanya Kapoor, Alex Williams, Meenakshi Khosla
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Partially Equivariant Reinforcement Learning in Symmetry-Breaking Environments
Junwoo Chang, Minwoo Park, Joohwan Seo, Roberto Horowitz, Jongmin Lee, Jongeun Choi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Partition Generative Modeling: Masked Modeling Without Masks
Justin Deschenaux, Lan Tran, Caglar Gulcehre
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Patch-as-Decodable-Token: Towards Unified Multi-Modal Vision Tasks in MLLMs
Yongyi Su, Haojie Zhang, Shijie Li, Nanqing Liu, Jingyi Liao, Junyi Pan, Yuan Liu, Xiaofen Xing, Chong Sun, Chen Li, Nancy Chen, Shuicheng YAN, xulei yang, Xun Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PatchDNA: A Flexible and Biologically-Informed Alternative to Tokenization for DNA
Alice Del Vecchio, Andreas C Kapourani, Abdullah M Athar, Agnieszka Dobrowolska, Andrew Anighoro, Benjamin Tenmann, Lindsay Edwards, Cristian Regep
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PatchRefiner V2: Fast and Lightweight Real-Domain High-Resolution Metric Depth Estimation
Zhenyu Li, Wenqing Cui, Shariq Bhat, Peter Wonka
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PateGAIL++: Utility Optimized Private Trajectory Generation with Imitation Learning
Yingjie Ma, Bijal Bharadva, Xin Zhang, Joann Qiongna Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Path Channels and Plan Extension Kernels: a Mechanistic Description of Planning in a Sokoban RNN
Mohammad Taufeeque, Aaron Tucker, Adam Gleave, Adrià Garriga-Alonso
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Path Matters: Unveiling Geometric Implicit Bias via Curvature-Aware Sparse View Optimization
Canran Xiao, Liaoyuan Fan, Yanbin Li, Jing Tang, Peilai Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PathChat-SegR1: Reasoning Segmentation in Pathology via SO-GRPO
Zelin Liu, Dongdong Chen, Yusong Sun, Yuqi Hu, Huang Jie, Sicheng Dong, Xu Han, Hongmei Yi, Qiyuan Bao, Lichi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Patronus: Interpretable Diffusion Models with Prototypes
Nina Weng, Aasa Feragen, Siavash Bigdeli
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pay Attention to CTC: Fast and Robust Pseudo-Labelling for Unified Speech Recognition
Alexandros Haliassos, Rodrigo Mira, Stavros Petridis
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pay Less Attention to Function Words for Free Robustness of Vision-Language Models
Qiwei Tian, Chenhao Lin, Zhengyu Zhao, Chao Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Peak-Return Greedy Slicing: Subtrajectory Selection for Transformer-based Offline RL
Zhiwei XU, Miduo Cui, Dapeng Li, Zhihao Liu, Haifeng Zhang, Hangyu Mao, Guoliang Fan, Bin Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pedagogically-Inspired Data Synthesis for Language Model Knowledge Distillation
Bowei He, Yankai Chen, Xiaokun Zhang, Linghe Kong, Philip Yu, Xue Liu, Chen Ma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Peng's Q($\lambda$) for Conservative Value Estimation in Offline Reinforcement Learning
Byeongchan Kim, Min-hwan Oh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PepBenchmark: A Standardized Benchmark for Peptide Machine Learning
Jiahui Zhang, Rouyi Wang, Kuangqi Zhou, Tianshu Xiao, Lingyan Zhu, Yaosen Min, Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PepTri: Tri-Guided All-Atom Diffusion for Peptide Design via Physics, Evolution, and Mutual Information
Ngoc-Quang Nguyen, Jaeyoon Jung, Seijung Kim, Sunkyu Kim, Jaewoo Kang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PerFit: Exploring Personalization Shifts in Representation Space of LLMs
Jiahong Liu, Wenhao Yu, Quanyu Dai, Zhongyang Li, Jieming Zhu, Menglin Yang, Tat-Seng Chua, Irwin King
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PerSpectra: A Scalable and Configurable Pluralist Benchmark of Perspectives from Arguments
Shangrui Nie, Kian Omoomi, Lucie Flek, Zhixue Zhao, Charles Welch
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Perception-Aware Policy Optimization for Multimodal Reasoning
Zhenhailong Wang, Xuehang Guo, Sofia Stoica, Haiyang Xu, Hongru WANG, Hyeonjeong Ha, Xiusi Chen, Yangyi Chen, Ming Yan, Fei Huang, Heng Ji
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Perception-R1: Advancing Multimodal Reasoning Capabilities of MLLMs via Visual Perception Reward
Tong Xiao, Xin Xu, Zhenya Huang, Hongyu Gao, Quan Liu, Qi Liu, Enhong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PerfGuard: A Performance-Aware Agent for Visual Content Generation
Zhipeng Chen, zhongrui zhang, Chao Zhang, Yifan Xu, LAN YANG, Jun Liu, Ke Li, Yi-Zhe Song
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Permutation-Consistent Variational Encoding for Incomplete Multi-View Multi-Label Classification
Chengliang Liu, Bo Li, Bob Zhang, Xiaoling Luo, Yabo Liu, Jie Wen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Person-Centric Annotations of LAION-400M: Auditing Bias and Its Transfer to Models
Leander Girrbach, Stephan Alaniz, Genevieve Smith, trevor darrell, Zeynep Akata
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Persona Features Control Emergent Misalignment
Miles Wang, Tom Dupre la Tour, Olivia Watkins, Aleksandar Makelov, Ryan Chi, Samuel Miserendino, Jeffrey Wang, Achyuta Rajaram, Johannes Heidecke, Tejal Patwardhan, Daniel Mossing
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PersonaX: Multimodal Datasets with LLM-Inferred Behavior Traits
Loka Li, Wong Kang, Minghao Fu, Guangyi Chen, Zhenhao Chen, Gongxu Luo, Yuewen Sun, Salman Khan, Peter Spirtes, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Personalized Collaborative Learning with Affinity-Based Variance Reduction
Chenyu Zhang, Navid Azizan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Personalized Feature Translation for Expression Recognition: An Efficient Source-Free Domain Adaptation Method
Masoumeh Sharafi, Soufiane Belharbi, Muhammad Zeeshan, HOUSSEM Salem, Ali Etemad, Alessandro Lameiras Koerich, Marco Pedersoli, Simon L Bacon, Eric Granger
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Perturbation-Induced Linearization: Constructing Unlearnable Data with Solely Linear Classifiers
Jinlin Liu, Wei Chen, Xiaojin Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Perturbed Dynamic Time Warping: A Probabilistic Framework and Generalized Variants
Xiangqian Sun, Chaoqun Wang, Wei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Phantom-Data: Towards a General Subject-Consistent Video Generation Dataset
Zhuowei Chen, Bingchuan Li, Tianxiang Ma, Lijie Liu, Mingcong Liu, Yunsheng Jiang, Li, Xinghui Li, Liyang Chen, SiYu Zhou, Qian HE, Xinglong Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PhaseFormer: From Patches to Phases for Efficient and Effective Time Series Forecasting
Yiming Niu, Jinliang Deng, Yongxin Tong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Photon: Speedup Volume Understanding with Efficient Multimodal Large Language Models
Chengyu Fang, Heng Guo, Zheng Jiang, Chunming He, Xiu Li, Minfeng Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PhyScensis: Physics-Augmented LLM Agents for Complex Physical Scene Arrangement
Yian Wang, Han Yang, Minghao Guo, Xiaowen Qiu, Johnson (Tsun-Hsuan) Wang, Wojciech Matusik, Joshua B Tenenbaum, Chuang Gan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PhysLLM: Harnessing Large Language Models for Cross-Modal Remote Physiological Sensing
Yiping Xie, bo zhao, Mingtong Dai, Jian-Ping Zhou, Yue Sun, Tao Tan, Weicheng Xie, Linlin Shen, Zitong YU
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Physically Valid Biomolecular Interaction Modeling with Gauss-Seidel Projection
Siyuan Chen, Minghao Guo, Caoliwen Wang, Anka He Chen, Yikun Zhang, Jingjing Chai, Yin Yang, Wojciech Matusik, Peter Yichen Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Physically-Guided Optical Inversion Enable Non-Contact Side-Channel Attack on Isolated Screens
Zhiwen Zheng, Yuheng Qiao, Xiaoshuai Zhang, Zhao Huang, Tao Zhang, Huiyu Zhou, Shaowei Jiang, Jin Liu, Wenwen Tang, Xingru Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Physics vs Distributions: Pareto Optimal Flow Matching with Physics Constraints
Giacomo Baldan, Qiang Liu, Alberto Guardone, Nils Thuerey
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Physics-Constrained Fine-Tuning of Flow-Matching Models for Generation and Inverse Problems
Jan Tauberschmidt, Sophie Fellenz, Sebastian Vollmer, Andrew Duncan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Physics-Informed Audio-Geometry-Grid Representation Learning for Universal Sound Source Localization
Min-Sang Baek, Gyeong-Su Kim, Donghyun Kim, Joon-Hyuk Chang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Physics-Informed Inference Time Scaling for Solving High-Dimensional Partial Differential Equations
Zexi Fan, Yan Sun, Shihao Yang, Yiping Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Physics-Inspired All-Pair Interaction Learning for 3D Dynamics Modeling
Kai Yang, Yuqi Huang, Junheng Tao, Wanyu Wang, Qitian Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Physics-informed learning under mixing: How physical knowledge speeds up learning
Anna Scampicchio, Leonardo Felipe Toso, Rahel Rickenbach, James Anderson, Melanie Zeilinger
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pi-CCA: Prompt-Invariant CCA Certificates for Replay-Free Continual Multimodal Learning
Jiayu Zhang, Chuangxin Zhao, Canran Xiao, Ruibo Duan, Wenyi Mo, Haoyu Gao, Wenshuo Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PiCa: Parameter-Efficient Fine-Tuning with Column Space Projection
Junseo Hwang, Wonguk Cho, Taesup Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pinet: Optimizing hard-constrained neural networks with orthogonal projection layers
Panagiotis D. Grontas, Antonio Terpin, Efe Balta, Raffaello D'Andrea, John Lygeros
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pisces: Cryptography-based Private Retrieval-Augmented Generation with Dual-Path Retrieval
Xiaojian Liang, Lushan Song, Shishuai Du, Weicheng Zhu, Tan Faith, Jun Jie Sim, Haibing Jin, Zhenghao Wu, Yingting Liu, Xin Zhang, Jiangming Yang, Pu Duan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pitfalls in Evaluating Language Model Forecasters
Daniel Paleka, Shashwat Goel, Jonas Geiping, Florian Tramer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PixNerd: Pixel Neural Field Diffusion
Shuai Wang, Ziteng Gao, Chenhui Zhu, Weilin Huang, Limin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling
Long Peng, Anran Wu, Wenbo Li, PeizheXia, Xinjie Zhang, Xueyuan Dai, Xin Di, Haoze Sun, Renjing Pei, Yang Wang, Yang Cao, Zheng-Jun Zha
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pixel-Level Residual Diffusion Transformer: Scalable 3D CT Volume Generation
Zhenkai Zhang, Markus Hiller, Krista A. Ehinger, Tom Drummond
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pixel-Perfect Puppetry: Precision-Guided Enhancement for Face Image and Video Editing
Yan Li, Zhenyi Wang, Guanghao Li, Wei Xue, Wenhan Luo, Yike Guo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pixel3DMM: Versatile Screen-Space Priors for Single-Image 3D Face Reconstruction
Simon Giebenhain, Tobias Kirschstein, Martin Rünz, Lourdes Agapito, Matthias Niessner
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PixelCraft: A Multi-Agent system for High-Fidelity Visual Reasoning on Structured Images
Shuoshuo Zhang, Zijian Li, Yizhen Zhang, Jingjing Fu, Lei Song, Jiang Bian, Jun Zhang, Yujiu Yang, Rui Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PixelVLA: Advancing Pixel-level Understanding in Vision-Language-Action Model
Wenqi Liang, Gan Sun, Yao He, Jiahua Dong, Suyan Dai, Ivan Laptev, Salman Khan, Yang Cong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Plan and Budget: Effective and Efficient Test-Time Scaling on Reasoning Large Language Models
Junhong Lin, Xinyue Zeng, Jie Zhu, Song Wang, Julian Shun, Jun Wu, Dawei Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Plan then Act: Bi-level CAD Command Sequence Generation
Qiangya Guo, Gang Dai, Zhuoman Liu, Shuangping Huang, Yunqing Hu, Huiyuan Zhang, Tianshui Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Plan-Answer-Refine-on-Graph: Structured Planning and Self-Refinement for Large Language Model Reasoning on Knowledge Graphs
Yuxin Shi, Han Fu, Zhuo Li, Chenghao Liu, Xiaoxue Ren, Jianling Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Plan-R1: Safe and Feasible Trajectory Planning as Language Modeling
Xiaolong Tang, Meina Kan, Shiguang Shan, Xilin CHEN
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Planned Diffusion
Daniel Israel, Tian Jin, Ellie Cheng, Guy Van den Broeck, Aditya Grover, Suvinay Subramanian, Michael Carbin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Planner Aware Path Learning in Diffusion Language Models Training
Zhangzhi Peng, Zachary Bezemek, Jarrid Rector-Brooks, Shuibai Zhang, Michael Bronstein, Anru Zhang, Joey Bose, Alexander Tong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Planning with an Embodied Learnable Memory
Priyam Parashar, Jacob Krantz, Matthew Chang, Kavit Shah, Xavier Puig, Roozbeh Mottaghi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PlantRSR: A New Plant Dataset and Method for Reference-based Super-Resolution
Hongyang Zhou, Xiaobin Zhu, Shengxiang Yu, Liuling Chen, Jingyan Qin, Xu-Cheng Yin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Play to Generalize: Learning to Reason Through Game Play
Yunfei Xie, Yinsong Ma, Shiyi Lan, Alan Yuille, Junfei Xiao, Chen Wei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Plug, Play, and Fortify: A Low-Cost Module for Robust Multimodal Image Understanding Models
Siqi Lu, Wanying XU, Yongbin Zheng, Wenting Luan, Peng Sun, Jianhang Yao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Plug-and-Play Compositionality for Boosting Continual Learning with Foundation Models
Weiduo Liao, Fei Han, Hisao Ishibuchi, Qingfu Zhang, Ying Wei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Plug-and-Play Fidelity Optimization for Diffusion Transformer Acceleration via Cumulative Error Minimization
Tong Shao, Yusen Fu, Guoying Sun, Jingde Kong, Zhuotao Tian, Jingyong Su
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PluriHarms: Benchmarking the Full Spectrum of Human Judgments on AI Harm
Jing-Jing Li, Joel Mire, Eve Fleisig, Valentina Pyatkin, Anne Collins, Maarten Sap, Sydney Levine
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PoLi-RL: A Point-to-List Reinforcement Learning Framework for Conditional Semantic Textual Similarity
Zixin Song, Bowen Zhang, QIANWEN ZHANG, di yin, Xing Sun, Chunping Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PoSh: Using Scene Graphs to Guide LLMs-as-a-Judge for Detailed Image Descriptions
Amith Ananthram, Elias Stengel-Eskin, Lorena Bradford, Julia Demarest, Adam Purvis, Keith Krut, Robert Stein, Rina Pantalony, Mohit Bansal, Kathleen McKeown
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PoinnCARE: Hyperbolic Multi-Modal Learning for Enzyme Classification
Kun XIE, Peng Zhou, Xingyi Zhang, Wei Liu, Peilin Zhao, Sibo WANG, Biaobin Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Point Prompting: Counterfactual Tracking with Video Diffusion Models
Ayush Shrivastava, Sanyam Mehta, Daniel Geng, Andrew Owens
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Point-Focused Attention Meets Context-Scan State Space: Robust Biological Visual Perception for Point Cloud Representation
Kanglin Qu, Pan Gao, Qun Dai, Yuanhao Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Point-MoE: Large-Scale Multi-Dataset Training with Mixture-of-Experts for 3D Semantic Segmentation
Xuweiyi Chen, Wentao Zhou, Aruni RoyChowdhury, Zezhou Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Point-UQ: An Uncertainty-Quantification Paradigm for Point Cloud Few-Shot Class Incremental Learning
Xiangqi Li, Libo Huang, Jiarui Zhao, Weilun Feng, Chuanguang Yang, Zhulin An, Yongjun Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Point-wise Anomaly Detection via Fold-bifurcation ODE
SheoYon Jhin, Noseong Park
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Point2RBox-v3: Self-Bootstrapping from Point Annotations via Integrated Pseudo-Label Refinement and Utilization
Teng Zhang, Ziqian Fan, Mingxin Liu, Xin Zhang, Xudong Lu, Wentong Li, Yue Zhou, Yi Yu, Xiang Li, Junchi Yan, Xue Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PointRePar : SpatioTemporal Point Relation Parsing for Robust Category-Unified 3D Tracking
Juntao Liu, Zikun Zhou, Zhuotao Tian, Guangming Lu, Jun Yu, Wenjie Pei
Machine Learning
日本大学: 関与なし（対象大学）