Papers
11,951 papers found
pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation
Shentong Mo, Xufang Luo, Dongsheng Li
PN-GAIL: Leveraging Non-optimal Information from Imperfect Demonstrations
Qiang Liu, Huiqiao Fu, Kaiqiang Tang et al.
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
Ségolène Tiffany Martin, Anne Gagneux, Paul Hagemann et al.
POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding
Alexey Skrynnik, Anton Andreychuk, Anatolii Borzilov et al.
Point-based Instance Completion with Scene Constraints
Wesley Khademi, Fuxin Li
Point Cluster: A Compact Message Unit for Communication-Efficient Collaborative Perception
Zihan Ding, Jiahui Fu, Si Liu et al.
PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection
Botao Ren, Xue Yang, Yi Yu et al.
Point-SAM: Promptable 3D Segmentation Model for Point Clouds
Yuchen Zhou, Jiayuan Gu, Tung Yen Chiang et al.
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting
Jiahao Lu, Yifan Zhang, Qiuhong Shen et al.
Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems across Domains
Razmik Arman Khosrovian, Takaharu Yaguchi, Hiroaki Yoshimura et al.
PolaFormer: Polarity-aware Linear Attention for Vision Transformers
Weikang Meng, Yadan Luo, Xin Li et al.
Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model
Xiu Yuan, Tongzhou Mu, Stone Tao et al.
Policy Design in Long-run Welfare Dynamics
Jiduan Wu, Rediet Abebe, Moritz Hardt et al.
Policy Optimization under Imperfect Human Interactions with Agent-Gated Shared Autonomy
Zhenghai Xue, Bo An, Shuicheng YAN
PolyhedronNet: Representation Learning for Polyhedra with Surface-attributed Graph
Dazhou Yu, Genpei Zhang, Liang Zhao
PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization
André Hottung, Mridul Mahajan, Kevin Tierney
Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models
Zhijian Zhuo, Ya Wang, Yutao Zeng et al.
PolyPythias: Stability and Outliers across Fifty Language Model Pre-Training Runs
Oskar van der Wal, Pietro Lesci, Max Müller-Eberstein et al.
Polyrating: A Cost-Effective and Bias-Aware Rating System for LLM Evaluation
Jasper Dekoninck, Maximilian Baader, Martin Vechev
PooDLe🐩: Pooled and dense self-supervised learning from naturalistic videos
Alex N Wang, Christopher Hoang, Yuwen Xiong et al.
Population Transformer: Learning Population-level Representations of Neural Activity
Geeling Chau, Christopher Wang, Sabera J Talukder et al.
Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks
Simon Heilig, Alessio Gravina, Alessandro Trenta et al.
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
Rana Shahroz, Pingzhi Li, Sukwon Yun et al.
Positive-Unlabeled Diffusion Models for Preventing Sensitive Data Generation
Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai et al.
PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling
Junchao Gong, Siwei Tu, Weidong Yang et al.