Papers
Personalized Cross-Silo Federated Learning on Non-IID Data
Yutao Huang, Lingyang Chu, Zirui Zhou et al.
Personalizing Individual Comfort in the Group Setting
Emil Laftchiev, Diego Romeres, Daniel Nikovski
Persuading Voters in District-based Elections
Matteo Castiglioni, Nicola Gatti
PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network
Pengfei Wang, Chengquan Zhang, Fei Qi et al.
PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception
Aviv Netanyahu, Tianmin Shu, Boris Katz et al.
Physarum Powered Differentiable Linear Programming Layers and Applications
Zihang Meng, Sathya N. Ravi, Vikas Singh
Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science
Ziyu Xiang, Mingzhou Fan, Guillermo Vázquez Tovar et al.
Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models
Rongye Shi, Zhaobin Mo, Xuan Di
PID-Based Approach to Adversarial Attacks
Chen Wan, Biaohua Ye, Fangjun Huang
Planning from Pixels in Atari with Learned Symbolic Representations
Andrea Dittadi, Frederik K. Drachmann, Thomas Bolander
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks
Tom Silver, Rohan Chitnis, Aidan Curtis et al.
Plug-and-Play Domain Adaptation for Cross-Subject EEG-based Emotion Recognition
Li-Ming Zhao, Xu Yan, Bao-Liang Lu
PoA of Simple Auctions with Interdependent Values
Alon Eden, Michal Feldman, Inbal Talgam-Cohen et al.
Point Cloud Semantic Scene Completion from RGB-D Images
Shoulong Zhang, Shuai Li, Aimin Hao et al.
PointINet: Point Cloud Frame Interpolation Network
Fan Lu, Guang Chen, Sanqing Qu et al.
Policy-Guided Heuristic Search with Guarantees
Laurent Orseau, Levi H. S. Lelis
Policy Optimization as Online Learning with Mediator Feedback
Alberto Maria Metelli, Matteo Papini, Pierluca D'Oro et al.
Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs
Marcel Wienöbst, Max Bannach, Maciej Liskiewicz
PoseBlocks: A Toolkit for Creating (and Dancing) with AI
Brian Jordan, Nisha Devasia, Jenna Hong et al.
Positions, Channels, and Layers: Fully Generalized Non-Local Network for Singer Identification
I-Yuan Kuo, Wen-Li Wei, Jen-Chun Lin
Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision
Xingchao Liu, Mao Ye, Dengyong Zhou et al.
Power in Liquid Democracy
Yuzhe Zhang, Davide Grossi
Power up! Robust Graph Convolutional Network via Graph Powering
Ming Jin, Heng Chang, Wenwu Zhu et al.
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression
Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe
Pragmatic Code Autocomplete
Gabriel Poesia, Noah Goodman