Papers
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
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.
Program Synthesis with Best-First Bottom-Up Search (Abstract Reprint)
Saqib Ameen, Levi H. S. Lelis
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
Li Niu, Yan Hong, Junyan Cao et al.
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
Promoting Counterfactual Robustness through Diversity
Francesco Leofante, Nico Potyka
Promoting Fair Vaccination Strategies through Influence Maximization: A Case Study on COVID-19 Spread
Nicola Neophytou, Afaf Taik, Golnoosh Farnadi
Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals
Siva Likitha Valluru, Biplav Srivastava, Sai Teja Paladi et al.
Prompt-Based Distribution Alignment for Unsupervised Domain Adaptation
Shuanghao Bai, Min Zhang, Wanqi Zhou et al.