Papers
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
PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping
Nai-Chieh Huang, Ping-Chun Hsieh, Kuo-Hao Ho et al.
Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks
Jia Wang, Wuqiang Su, Zushu Huang et al.
Practical Sentiment Analysis for Education: The Power of Student Crowdsourcing
Robert Kasumba, Marion Neumman
PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation
Siyuan Hu, Zheng Wang, Peng Hu et al.
Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract)
Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa
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.
Preparing Lessons for Progressive Training on Language Models
Yu Pan, Ye Yuan, Yichun Yin 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.
Pre-trained Online Contrastive Learning for Insurance Fraud Detection
Rui Zhang, Dawei Cheng, Jie Yang et al.
Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance
Catalina Vajiac, Arun Frey, Joachim Baumann 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-Alarcón
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