Paper Papers

Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks

Jia Wang, Wuqiang Su, Zushu Huang et al.

Predicting Real-World Penny Auction Durations by Integrating Game Theory and Machine Learning

PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation

Siyuan Hu, Zheng Wang, Peng Hu et al.

Preference Aware Dual Contrastive Learning for Item Cold-Start Recommendation

Wenbo Wang, Bingquan Liu, Lili Shan et al.

Preference Ranking Optimization for Human Alignment

Feifan Song, Bowen Yu, Minghao Li et al.

PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine

Chenrui Zhang, Lin Liu, Chuyuan Wang et al.

PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling

Ruizhe Zhong, Junjie Ye, Zhentao Tang et al.

Primitive-Based 3D Human-Object Interaction Modelling and Programming

Siqi Liu, Yong-Lu Li, Zhou FANG et al.

Principal-Agent Reward Shaping in MDPs

Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz et al.

Principle Component Trees and Their Persistent Homology

Ben Kizaric, Daniel Pimentel-Alarcon

Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring

Peng TANG, Zhiqiang Xu, Chunlai Zhou et al.

Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions

T-H. Hubert Chan, Hao Xie, Mengshi ZHAO

Privileged Prior Information Distillation for Image Matting

Cheng Lyu, Jiake Xie, Bo Xu et al.

ProAgent: Building Proactive Cooperative Agents with Large Language Models

Ceyao Zhang, Kaijie Yang, Siyi Hu et al.

Probabilistic Neural Circuits

Pedro Zuidberg Dos Martires

Probabilistic Offline Policy Ranking with Approximate Bayesian Computation

Longchao Da, Porter Jenkins, Trevor Schwantes et al.

Probabilities of Causation with Nonbinary Treatment and Effect

Ang Li, Judea Pearl

Probability-Polarized Optimal Transport for Unsupervised Domain Adaptation

Yan Wang, Chuan-Xian Ren, Yi-Ming Zhai et al.

ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning

Fushuo Huo, Wenchao Xu, Song Guo et al.

Procedural Level Generation with Diffusion Models from a Single Example

Shiqi Dai, Xuanyu Zhu, Naiqi Li et al.

Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion

Cunhang Fan, Yujie Chen, Jun Xue et al.

Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation

Jingxuan He, Lechao Cheng, Chaowei Fang et al.

Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation

Ge Meng, Jingjia Huang, Yingying Wang et al.

Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process

Xufeng Yao, Fanbin Lu, Yuechen Zhang et al.

Progressive Painterly Image Harmonization from Low-Level Styles to High-Level Styles

Progressive Poisoned Data Isolation for Training-Time Backdoor Defense

Yiming Chen, Haiwei Wu, Jiantao Zhou

Progressive Text-to-Image Diffusion with Soft Latent Direction

YuTeng Ye, Jiale Cai, Hang Zhou et al.

Project-Fair and Truthful Mechanisms for Budget Aggregation

Rupert Freeman, Ulrike Schmidt-Kraepelin

Prompt-Based Distribution Alignment for Unsupervised Domain Adaptation

Shuanghao Bai, Min Zhang, Wanqi Zhou et al.

Prompting Multi-Modal Image Segmentation with Semantic Grouping

Prompting Segmentation with Sound Is Generalizable Audio-Visual Source Localizer

Yaoting Wang, Liu Weisong, Guangyao Li et al.

PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation

Haibo Jin, Haoxuan Che, Yi Lin et al.

Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning

Longchao Da, Minquan Gao, Hua Wei et al.

Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection

Proportional Aggregation of Preferences for Sequential Decision Making

Nikhil Chandak, Shashwat Goel, Dominik Peters

Proportional Representation in Metric Spaces and Low-Distortion Committee Selection

Yusuf Kalayci, David Kempe, Vikram Kher

Prot2Text: Multimodal Protein’s Function Generation with GNNs and Transformers

Hadi Abdine, Michail Chatzianastasis, Costas Bouyioukos et al.

Protect Your Score: Contact-Tracing with Differential Privacy Guarantees

Rob Romijnders, Christos Louizos, Yuki Asano et al.

Provably Convergent Federated Trilevel Learning

Yang Jiao, Kai YANG, Tiancheng Wu et al.

Provably Powerful Graph Neural Networks for Directed Multigraphs

Beni Egressy, Luc von Niederhäusern, Jovan Blanuša et al.

ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open Vocabulary Object Detection

Joonhyun Jeong, Geondo Park, Jayeon Yoo et al.

Proxyformer: Nystrom-Based Linear Transformer with Trainable Proxy Tokens

SangHo Lee, Hayun Lee, Dongkun Shin

PRP Rebooted: Advancing the State of the Art in FOND Planning

Christian Muise, Sheila McIlraith, J. Christopher Beck

PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction

Lirong Wu, Yufei Huang, Cheng Tan et al.

Pseudo-Label Calibration Semi-supervised Multi-Modal Entity Alignment

Luyao Wang, Pengnian Qi, Xigang Bao et al.

PTMQ: Post-training Multi-Bit Quantization of Neural Networks

Ke Xu, Zhongcheng Li, Shanshan Wang et al.

PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition

Luoyang Lin, Zutao Jiang, Xiaodan Liang et al.

Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention

Ying-Yu Chen, Jun-Wei Hsieh, Xin Li et al.

PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment

Zewen Zheng, Xuemin Zhang, Yongqiang Mou et al.

QAGait: Revisit Gait Recognition from a Quality Perspective

Zengbin Wang, Saihui Hou, Man Zhang et al.