Papers
PHFormer: Multi-Fragment Assembly Using Proxy-Level Hybrid Transformer
Wenting Cui, Runzhao Yao, Shaoyi Du
Phoneme Hallucinator: One-Shot Voice Conversion via Set Expansion
Siyuan Shan, Yang Li, Amartya Banerjee et al.
Physics-Informed Graph Neural Networks for Water Distribution Systems
Inaam Ashraf, Janine Strotherm, Luca Hermes et al.
Physics-Informed Representation and Learning: Control and Risk Quantification
Zhuoyuan Wang, Reece Keller, Xiyu Deng et al.
PICNN: A Pathway towards Interpretable Convolutional Neural Networks
Wengang Guo, Jiayi Yang, Huilin Yin et al.
PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract)
Eric Enouen, Sebastian Caldas, Mononito Goswami et al.
Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks
Thomas Krapf, Michael Hagn, Paul Miethaner et al.
p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models
Haoyuan Wu, Xinyun Zhang, Peng Xu et al.
Plug-In Diffusion Model for Sequential Recommendation
Haokai Ma, Ruobing Xie, Lei Meng et al.
PMAC: Personalized Multi-Agent Communication
Xiangrui Meng, Ying Tan
PMET: Precise Model Editing in a Transformer
Xiaopeng Li, Shasha Li, Shezheng Song et al.
PM-INR: Prior-Rich Multi-Modal Implicit Large-Scale Scene Neural Representation
Yiying Yang, Fukun Yin, Wen Liu et al.
PMRC: Prompt-Based Machine Reading Comprehension for Few-Shot Named Entity Recognition
Jin Huang, Danfeng Yan, Yuanqiang Cai
PNeRFLoc: Visual Localization with Point-Based Neural Radiance Fields
Boming Zhao, Luwei Yang, Mao Mao et al.
PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping
Jiafu Chen, Wei Xing, Jiakai Sun et al.
PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation
Zhiyuan Hu, Chumin Liu, Yue Feng et al.
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding
Yuecen Wei, Haonan Yuan, Xingcheng Fu et al.
Point2Real: Bridging the Gap between Point Cloud and Realistic Image for Open-World 3D Recognition
Hanxuan Li, Bin Fu, Ruiping Wang et al.
PointAttN: You Only Need Attention for Point Cloud Completion
Jun Wang, Ying Cui, Dongyan Guo et al.
Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection
Kaiyi Zhang, Yang Chen, Ximing Yang et al.
PointCVaR: Risk-Optimized Outlier Removal for Robust 3D Point Cloud Classification
Xinke Li, Junchi Lu, Henghui Ding et al.
Point Deformable Network with Enhanced Normal Embedding for Point Cloud Analysis
Xingyilang Yin, Xi Yang, Liangchen Liu et al.
PointPatchMix: Point Cloud Mixing with Patch Scoring
Yi Wang, Jiaze Wang, Jinpeng Li et al.
Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models
Yiwen Tang, Ray Zhang, Zoey Guo et al.
Point-to-Spike Residual Learning for Energy-Efficient 3D Point Cloud Classification
Qiaoyun Wu, Quanxiao Zhang, Chunyu Tan et al.