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
Optimal Aggregation of LLM and PRM Signals for Efficient Test-Time Scaling
Peng Kuang, Yanli Wang, Xiaoyu Han, Yaowenqi Liu, Kaidi Xu, Haohan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Optimal Brain Restoration for Joint Quantization and Sparsification of LLMs
Hang Guo, Luca Benini, Yawei Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Optimal Robust Subsidy Policies for Irrational Agent in Principal-Agent MDPs
Bowen Hu, Yixin Tao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks
Taishi Nakamura, Satoki Ishikawa, Masaki Kawamura, Okamoto, Daisuke Nohara, Jun Suzuki, Rio Yokota
Machine Learning
日本大学: 東京科学大学 / 東北大学
2026 · ICLR
Optimal Transport-Induced Samples against Out-of-Distribution Overconfidence
Keke Tang, Ziyong Du, Xiaofei Wang, Weilong Peng, Peican Zhu, Zhihong Tian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Optimal transport unlocks end-to-end learning for single-molecule localization
Romain Seailles, Jean Masson, Jean Ponce, Julien Mairal
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OptimalThinkingBench: Evaluating Over and Underthinking in LLMs
Pranjal Aggarwal, Seungone Kim, Jack Lanchantin, Sean Welleck, Jason E Weston, Ilia Kulikov, Swarnadeep Saha
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Optimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards
Shirley Wu, Parth Sarthi, Shiyu Zhao, Aaron Lee, Herumb Shandilya, Adrian Mladenic Grobelnik, Nurendra Choudhary, Edward Huang, Karthik Subbian, Linjun Zhang, Diyi Yang, James Y Zou, Jure Leskovec
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Optimistic Task Inference for Behavior Foundation Models
Thomas Rupf, Marco Bagatella, Marin Vlastelica, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Optimizer Choice Matters For The Emergence of Neural Collapse
Jim Zhao, Tin Sum Cheng, Wojciech Masarczyk, Aurelien Lucchi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Optimizing Agent Planning for Security and Autonomy
Aashish Kolluri, Rishi Sharma, Manuel Costa, Boris Köpf, Tobias Nießen, Mark Russinovich, Shruti Tople, Santiago Zanella-Beguelin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Optimizing Canaries for Privacy Auditing with Metagradient Descent
Matteo Boglioni, Terrance Liu, Andrew Ilyas, Steven Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Optimizing Data Augmentation through Bayesian Model Selection
Madi Matymov, Ba-Hien Tran, Michael Kampffmeyer, Markus Heinonen, Maurizio Filippone
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Optimizing ID Consistency in Multimodal Large Models: Facial Restoration via Alignment, Entanglement, and Disentanglement
Yuran Dong, Hang Dai, Mang Ye
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Oracle-efficient Hybrid Learning with Constrained Adversaries
Princewill Okoroafor, Robert Kleinberg, Michael Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games
Dongmin Park, Minkyu Kim, Beongjun Choi, Junhyuck Kim, Keon Lee, Jonghyun Lee, Inkyu Park, ByeongUk Lee, Jaeyoung Hwang, JAEWOO AHN, Ameya Mahabaleshwarkar, Bilal Kartal, Pritam Biswas, Yoshi Suhara, Kangwook Lee, Jaewoong Cho
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Orbital Transformers for Predicting Wavefunctions in Time-Dependent Density Functional Theory
Xuan Zhang, Haiyang Yu, Chengdong Wang, Jacob Helwig, Shuiwang Ji, Xiaofeng Qian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OrchestrationBench: LLM-Driven Agentic Planning and Tool Use in Multi-Domain Scenarios
Aelim Ahn, Sooyeon Lee, Hyosun Wang, Chiwan Park, Daeryong Kim, Jihyeon Roh, Kichang Yang, Wonjun Jang, Hwang Woosung, Min Kim, Jihoon kang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OrderDP: A Theoretically Guaranteed Lossless Dynamic Data Pruning Framework
Chenhan Jin, Shengze Xu, Qingsong Wang, Fan JIA, Dingshuo Chen, Tieyong Zeng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OrthAlign: Orthogonal Subspace Decomposition for Non-Interfering Multi-Objective Alignment
Liang Lin, Zhihao Xu, Junhao Dong, Jian Zhao, Yuchen Yuan, Guibin Zhang, Miao Yu, Yiming Zhang, Zhengtao Yao, Huahui Yi, HAICHUAN TANG, Dongrui Liu, Xinfeng Li, Kun Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OrthoRF: Exploring Orthogonality in Object-Centric Representations
Despoina Touska, Bastiaan Auer, Alexandru Onose, Tejaswi Kasarla, Luis Armando Pérez Rey, Maximilian Lipp, Lyubov Amitonova, Martin R. Oswald, Pascal Cerfontaine
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OrthoSolver: A Neural Proper Orthogonal Decomposition Solver For PDEs
Ying Pang, Jingyuan Wang, Jiahao Ji, Fanhao Mu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Otters: An Energy-Efficient Spiking Transformer via Optical Time-to-First-Spike Encoding
Zhanglu Yan, Jiayi Mao, Qianhui Liu, Fanfan Li, Tao Luo, Gang Pan, Bowen Zhu, Weng-Fai Wong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Out of the Memory Barrier: A Highly Memory-Efficient Training System for LLMs with Million-Token Contexts
Wenhao Li, Daohai Yu, Gen Luo, Yuxin Zhang, Yifan Wu, Jiaxin Liu, Ziyang Gong, Zimu Liao, Fei Chao, Rongrong Ji
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Out of the Shadows: Exploring a Latent Space for Neural Network Verification
Lukas Koller, Tobias Ladner, Matthias Althoff
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Out-of-Distribution Graph Models Merging
Yidi Wang, Ziyue Qiao, Jiawei Gu, Xubin Zheng, Pengyang Wang, pei Xiaobing, Xiao Luo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Output Supervision Can Obfuscate the Chain of Thought
jacob drori, Luke Marks, Bryce Woodworth, Alex Cloud, Alexander Turner
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Overcoming Joint Intractability with Lossless Hierarchical Speculative Decoding
Yuxuan Zhou, Fei Huang, Heng Li, Fengyi Wu, Tianyu Wang, jianwei zhang, Junyang Lin, Zhi-Qi Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation
Valentyn Melnychuk, Dennis Frauen, Jonas Schweisthal, Stefan Feuerriegel
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Overlap-weighted orthogonal meta-learner for treatment effect estimation over time
Konstantin Hess, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Overparametrization bends the landscape: BBP transitions at initialization in simple Neural Networks
Brandon Annesi, Dario Bocchi, Chiara Cammarota
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Overshoot and Shrinkage in Classifier-Free Guidance: From Theory to Practice
Krunoslav Lehman Pavasovic, Jakob Verbeek, Giulio Biroli, Marc Mezard
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Oversmoothing, "Oversquashing'', Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning
Adrián Arnaiz-Rodríguez, Federico Errica
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Overthinking Reduction with Decoupled Rewards and Curriculum Data Scheduling
Shuyang Jiang, Yusheng Liao, Ya Zhang, Yanfeng Wang, Yu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Overtone: Cyclic Patch Modulation for Clean, Efficient, and Flexible Physics Emulators
Payel Mukhopadhyay, Michael McCabe, Ruben Ohana, Miles Cranmer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
OwlEye: Zero-Shot Learner for Cross-Domain Graph Data Anomaly Detection
Lecheng Zheng, Dongqi Fu, Zihao Li, Jingrui He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
P$^2$-DPO: Grounding Hallucination in Perceptual Processing via Calibration Direct Preference Optimization
RuiPeng Zhang, Zhihao Li, Haozhang Yuan, C.L.Philip Chen, Tong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
P-GenRM: Personalized Generative Reward Model with Test-time User-based Scaling
Pinyi Zhang, Ting-En Lin, Yuchuan Wu, Jingyang Chen, Zongqi Wang, Hua Yang, Bing Zhao, Fei Huang, Yongbin Li, Kai Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark
Tao Sun, Enhao Pan, Zhengkai Yang, Kaixin Sui, Jiajun Shi, Xianfu Cheng, Tongliang Li, Ge Zhang, Wenhao Huang, Jian Yang, Zhoujun Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
P3D: Highly Scalable 3D Neural Surrogates for Physics Simulations with Global Context
Benjamin Holzschuh, Georg Kohl, Florian Redinger, Nils Thuerey
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PA3FF:Learning Part-Aware Dense 3D Feature Field For Generalizable Articulated Object Manipulation
Yue Chen, Muqing Jiang, Kaifeng Zheng, Jiaqi Liang, Chenrui Tie, Haoran Lu, Ruihai Wu, Hao Dong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PAC-Bayes bounds for cumulative loss in Continual Learning
Lior Friedman, Ron Meir
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PACE: Pretrained Audio Continual Learning
Chang Li, Kanglei Zhou, Liyuan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PACEbench: A Framework for Evaluating Practical AI Cyber-Exploitation Capabilities
Zicheng Liu, Lige Huang, Jie Zhang, Dongrui Liu, Yuan Tian, Jing Shao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PAGE-4D: Disentangled Pose and Geometry Estimation for VGGT-4D Perception
Kaichen Zhou, Yuhan Wang, Grace Chen, Gaspard Beaudouin, Fangneng Zhan, Paul Liang, Mengyu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PALC: Preference Alignment via Logit Calibration
Sanghyun Lee, Hoh In
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PAMDP: Interact to Persona Alignment via a Partially Observable Markov Decision Process
ZHE YANG, Yi Huang, Si Chen, Xiaoting Wu, Jingyu Yao, Junlan Feng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PARD: Accelerating LLM Inference with Low‑Cost PARallel Draft Model Adaptation
Zihao An, Huajun Bai, Ziqiong Liu, Dong Li, Emad Barsoum
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PAS: Estimating the target accuracy before domain adaptation
Raphaella Diniz, Jackson de Faria, Martin Ester
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PASER: Post-Training Data Selection for Efficient Pruned Large Language Model Recovery
Bowei He, Lihao Yin, Huiling Zhen, Xiaokun Zhang, Mingxuan Yuan, Chen Ma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PAT3D: Physics-Augmented Text-to-3D Scene Generation
Guying Lin, Kemeng Huang, Michael Liu, Ruihan Gao, Hanke Chen, Lyuhao Chen, Beijia Lu, Taku Komura, Yuan Liu, Jun-Yan Zhu, Minchen Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PCB-Bench: Benchmarking LLMs for Printed Circuit Board Placement and Routing
Jindong Li, Lianrong Chen, BIN YANG, Jiadong Zhu, Ying Wang, Yuzhe Ma, Menglin Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PCLR: Progressively Compressed LoRA for Multimodal Continual Instruction Tuning
weicheng meng, Jingyang Qiao, Zhizhong Zhang, Shaohui Liu, Yuan Xie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PCPO: Proportionate Credit Policy Optimization for Preference Alignment of Image Generation Models
Jeongjae Lee, Jong Chul YE
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PD$^{2}$GS: Part-Level Decoupling and Continuous Deformation of Articulated Objects via Gaussian Splatting
Haowen Wang, Xiaoping Yuan, Zhao Jin, Zhen Zhao, Zhengping Che, Yousong Xue, Jing Tian, Yakun Huang, Jian Tang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PE-SGD: Differentially Private Deep Learning via Evolution of Gradient Subspace for Text
TIANYUAN ZOU, Zinan Lin, Sivakanth Gopi, Yang Liu, Ya-Qin Zhang, Robert Sim, Xin Deng, Sergey Yekhanin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PEAR: Phase Entropy Aware Reward for Efficient Reasoning
Chen Huang, Wei Lu, Wenxuan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PEERING INTO THE UNKNOWN: ACTIVE VIEW SELECTION WITH NEURAL UNCERTAINTY MAPS FOR 3D RECONSTRUCTION
Zhengquan Zhang, Feng Xu, Mengmi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PERK: Long-Context Reasoning as Parameter-Efficient Test-Time Learning
Zeming Chen, Angelika Romanou, Gail Weiss, Antoine Bosselut
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PERSISTENCE SPHERES: BI-CONTINUOUS REPRESENTATIONS OF PERSISTENCE DIAGRAMS.
Matteo Pegoraro
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PERSONA: Dynamic and Compositional Inference-Time Personality Control via Activation Vector Algebra
Xiachong Feng, Liang Zhao, Weihong Zhong, yichong huang, Yuxuan Gu, Lingpeng Kong, Xiaocheng Feng, Bing Qin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PETRI: Learning Unified Cell Embeddings from Unpaired Modalities via Early-Fusion Joint Reconstruction
Ryan Conrad, Ethan Weinberger, Saradha Venkatachalapathy, Yuwen Chen, Darshini Shah, Bay Johnson, Max Salick, Vaishaali Natarajan, Emily Fox
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PGRF-Net: A Prototype-Guided Relational Fusion Network for Diagnostic Multivariate Time-Series Anomaly Detection
Jahoon Jeong, Hyunsoo Yoon
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting
Jiaming Ma, Qihe Huang, Haofeng Ma, Guanjun Wang, Sheng Huang, Zhengyang Zhou, Pengkun Wang, Xu Wang, Binwu Wang, Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PHyCLIP: $\ell_1$-Product of Hyperbolic Factors Unifies Hierarchy and Compositionality in Vision-Language Representation Learning
Daiki Yoshikawa, Takashi Matsubara
Machine Learning
日本大学: 北海道大学
2026 · ICLR
PI-Light: Physics-Inspired Diffusion for Full-Image Relighting
Zhexin Liang, Zhaoxi Chen, Yongwei Chen, Tianyi Wei, Tengfei Wang, Xingang Pan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PICABench: How Far are We from Physical Realistic Image Editing?
Yuandong Pu, Le Zhuo, Songhao Han, Jinbo Xing, Kaiwen Zhu, Shuo Cao, Bin Fu, Si Liu, Hongsheng Li, Yu Qiao, Wenlong Zhang, Xi Chen, Yihao Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PICS: Pairwise Image Compositing with Spatial Interactions
Hang Zhou, Xinxin Zuo, Sen Wang, Li Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PINFDiT: Energy-Based Physics-Informed Diffusion Transformers for General-purpose Time Series Tasks
Defu Cao, Wen Ye, Yizhou Zhang, Sam Griesemer, Yan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PIRN: Prototypical-based Intra-modal Reconstruction with Normality Communication for Multi-modal Anomaly Detection.
Yiting Li, xulei yang, Jing Zhang, Sichao Tian, Jingyi Liao, Fayao Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PLAGUE: Plug-and-play framework for Lifelong Adaptive Generation of mUlti-turn jailbrEaks
Neeladri Bhuiya, Madhav Aggarwal, Diptanshu Purwar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment
Qi Yu, Zhichen Zeng, Yuchen Yan, Zhining Liu, Baoyu Jing, Ruizhong Qiu, Ariful Azad, Hanghang Tong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PLoP: Precise LoRA Placement for Efficient Finetuning of Large Models
Soufiane Hayou, Nikhil Ghosh, Bin Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs
Tengxuan Liu, Shiyao Li, Jiayi Yang, Tianchen Zhao, Feng Zhou, Xiaohui Song, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PMDformer: Patch-Mean Decoupling Information Transformer for Long-term Forecasting
Ao Hu, Liangjian Wen, Jiang Duan, Yong Dai, HE YAN, Dongkai Wang, Jun Wang, Yukun Zhang, Ruoxi Jiang, Zenglin Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PMark: Towards Robust and Distortion-free Semantic-level Watermarking with Channel Constraints
Jiahao Huo, Shuliang Liu, Bin Wang, Junyan Zhang, Yibo Yan, Aiwei Liu, Xuming Hu, Mingxun Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
POEMetric: The Last Stanza of Humanity
Bingru Li, Han Wang, Hazel Wilkinson
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PPE: Positional Preservation Embedding for Token Compression in Multimodal Large Language Models
Mouxiao Huang, Borui Jiang, Dehua Zheng, Hailin Hu, Kai Han, Xinghao Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance
Shangkun Sun, Ruyang Liu, Haoran Tang, Yixiao Ge, Haibo Lu, Jiankun Yang, Chen Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PQGAN: Product-Quantised Image Representation for High-Quality Image Synthesis
Denis Zavadski, Nikita Tatsch, Carsten Rother
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PRISM-Physics: Causal DAG-Based Process Evaluation for Physics Reasoning
Wanjia Zhao, Qinwei (Martin) Ma, Jingzhe Shi, Shirley Wu, Jiaqi Han, Yijia Xiao, Si-Yuan Chen, Xiao Luo, Ludwig Schmidt, James Y Zou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PRISM: Enhancing PRotein Inverse Folding through Fine- Grained Retrieval on Structure-Sequence Multimodal Representations
Sazan Mahbub, Souvik Kundu, Eric P Xing
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PRISM: Festina Lente Proactivity—Risk-Sensitive, Uncertainty-Aware Deliberation for Proactive Agents
Yuxuan Fu, Xiaoyu Tan, Teqi Hao, Chen Zhan, Xihe Qiu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PRISM: Partial-label Relational Inference with Spatial and Spectral Cues
Yiyang Gu, Wenrui Wu, Yifang Qin, Taian Guo, Tao Zhe, Jiaru Tang, Zhiping Xiao, Weizhi Zhang, Ziyue Qiao, Wei Ju, Dongjie Wang, Xiao Luo, Philip Yu, Ming Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PRISM: Progressive Robust Learning for Open-World Continual Category Discovery
Wei Feng, Sijin Zhou, Yiwen Jiang, Zongyuan Ge
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PRISMM-Bench: A Benchmark of Peer-Review Grounded Multimodal Inconsistencies
Lukas Selch, Yufang Hou, Muhammad Jehanzeb Mirza, Sivan Doveh, James R Glass, Rogerio Feris, Wei Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PRISON: Unmasking the Criminal Potential of Large Language Models
Xinyi Wu, Geng Hong, Pei Chen, Yueyue Chen, Xudong Pan, Min Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PRO-MOF: Policy Optimization with Universal Atomistic Models for Controllable MOF Generation
Zicheng Liu, Ben Fei, Di Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PROS: Towards Compute-Efficient RLVR via Rollout Prefix Reuse
Baizhou Huang, Xiaojun Wan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PSDNorm: Temporal Normalization for Deep Learning in Sleep Staging
Theo Gnassounou, Antoine Collas, Rémi Flamary, Alexandre Gramfort
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PSP: Prompt-Guided Self-Training Sampling Policy for Active Prompt Learning
Sen Tao, Kaiduo Feng, Jiawei Liu, Peng Zeng, Yongchao Xu, Yufei Zheng, Zheng-Jun Zha
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PT$^2$-LLM: Post-Training Ternarization for Large Language Models
Xianglong Yan, ChengZhu Bao, Zhiteng Li, Tianao Zhang, Kaicheng Yang, Haotong Qin, Ruobing Xie, Samm Sun, Yulun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PTNET: A PROPOSAL-CENTRIC TRANSFORMER NET- WORK FOR 3D OBJECT DETECTION
Jianping Zhong, Zhaobo Qi, Kaiwen Duan, Xinyan Liu, Beichen Zhang, Weigang Zhang, Qingming Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PTQ4ARVG: Post-Training Quantization for AutoRegressive Visual Generation Models
Xuewen Liu, Zhikai Li, Jing Zhang, Mengjuan Chen, Jianquan Li, Qingyi Gu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PU-BENCH: A UNIFIED BENCHMARK FOR RIGOROUS AND REPRODUCIBLE PU LEARNING
Qiuyi Chen, Haiyang Zhang, Leqi Zhang, Changchun Li, Jia Wang, Wei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PYRREGULAR: A Unified Framework for Irregular Time Series, with Classification Benchmarks
Francesco Spinnato, Cristiano Landi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PaAno: Patch-Based Representation Learning for Time-Series Anomaly Detection
Jinju Park, Seokho Kang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PairFlow: Closed-Form Source-Target Coupling for Few-Step Generation in Discrete Flow Models
Mingue Park, Jisung Hwang, Seungwoo Yoo, Kyeongmin Yeo, Minhyuk Sung
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pairwise is Not Enough: Hypergraph Neural Networks for Multi-Agent Pathfinding
Rishabh Jain, Keisuke Okumura, Michael Amir, Pietro Lio, Amanda Prorok
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pallatom-Ligand: an All-Atom Diffusion Model for Designing Ligand-Binding Proteins
Haochen Wang, Qianyi Wang, Rui Ma, Jiawei Guan, weikun wu, haobo wang, Jiayi Dou
Machine Learning
日本大学: 関与なし（対象大学）