Paper Papers

Partial Multi-View Clustering via Self-Supervised Network

Qianqian Wang, Guoshuai Sheng, Quanxue Gao et al.

Participation Incentives in Approval-Based Committee Elections

Martin Bullinger, Chris Dong, Patrick Lederer et al.

Patch-Aware Sample Selection for Efficient Masked Image Modeling

Zhengyang Zhuge, Jiaxing Wang, Yong Li et al.

patchDPCC: A Patchwise Deep Compression Framework for Dynamic Point Clouds

Authors: Zirui Pan, Mengbai Xiao, Xu Han et al.

Patched Line Segment Learning for Vector Road Mapping

Jiakun Xu, Bowen Xu, Gui-Song Xia et al.

Patch-Wise Graph Contrastive Learning for Image Translation

Chanyong Jung, Gihyun Kwon, Jong Chul Ye

PathAsst: A Generative Foundation AI Assistant towards Artificial General Intelligence of Pathology

Yuxuan Sun, Chenglu Zhu, Sunyi Zheng et al.

Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths

Konstantin Sidorov, Gonçalo Homem de Almeida Correia, Mathijs de Weerdt et al.

Pay Attention to Target: Relation-Aware Temporal Consistency for Domain Adaptive Video Semantic Segmentation

Huayu Mai, Rui Sun, Yuan Wang et al.

Pay to (Not) Play: Monetizing Impatience in Mobile Games

Taylor Lundy, Narun Raman, Hu Fu et al.

PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering

Bingheng Li, Erlin Pan, Zhao Kang

PCE-Palm: Palm Crease Energy Based Two-Stage Realistic Pseudo-Palmprint Generation

Lei Shen, Jianlong Jin, Ruixin Zhang et al.

PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion

Yige Yuan, Bingbing Xu, Bo Lin et al.

Pedro Zuidberg Dos Martires

Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations

Cedric Derstroff, Jannis Brugger, Mattia Cerrato et al.

Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization

Adam Richardson, Boi Faltings

Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization

Liang Dai, Kejie Lyu, Chengcheng Zhang et al.

PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search

Dixi Yao, Baochun Li

Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts

Kun Jin, Tongxin Yin, Zhongzhu Chen et al.

Permutation-Based Hypothesis Testing for Neural Networks

Francesca Mandel, Ian Barnett

Personalized LoRA for Human-Centered Text Understanding

You Zhang, Jin Wang, Liang-Chih Yu et al.

Personalized Reinforcement Learning with a Budget of Policies

Dmitry Ivanov, Omer Ben-Porat

Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off

Yuansan Liu, Ruqing Zhang, Mingkun Zhang et al.

PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance

Taicai Chen, Yue Duan, Dong Li et al.

PHFormer: Multi-Fragment Assembly Using Proxy-Level Hybrid Transformer

Phoneme Hallucinator: One-Shot Voice Conversion via Set Expansion

Siyuan Shan, Yang Li, Amartya Banerjee et al.

PICNN: A Pathway towards Interpretable Convolutional Neural Networks

Wengang Guo, Jiayi Yang, HuiLin YIN 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

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

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

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.

Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection

Kaiyi Zhang, Yang Chen, Ximing Yang 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.

Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images

Bao Li, Zhenyu Liu, Lizhi Shao et al.

Polyper: Boundary Sensitive Polyp Segmentation

Hao Shao, Yang Zhang, Qibin Hou

PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning

Jizhou Wu, Jianye Hao, Tianpei Yang et al.

PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations

Rui She, Sijie Wang, Qiyu Kang et al.

PoseGen: Learning to Generate 3D Human Pose Dataset with NeRF

Mohsen Gholami, Rabab Ward, Z. Jane Wang

PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation

Yue-Jiang Dong, Yuan-Chen Guo, Ying-Tian Liu et al.

PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning

Yuting Ma, Yuanzhi Yao, Xiaohua Xu