Papers
Parameterized Knowledge Transfer for Personalized Federated Learning
Jie Zhang, Song Guo, Xiaosong Ma et al.
Parameter Prediction for Unseen Deep Architectures
Boris Knyazev, Michal Drozdzal, Graham W. Taylor et al.
Parametric Complexity Bounds for Approximating PDEs with Neural Networks
Tanya Marwah, Zachary Lipton, Andrej Risteski
Parametrized Quantum Policies for Reinforcement Learning
Sofiene Jerbi, Casper Gyurik, Simon Marshall et al.
Pareto Domain Adaptation
fangrui lv, Jian Liang, Kaixiong Gong et al.
Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems
Bo Sun, Russell Lee, Mohammad Hajiesmaili et al.
ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions
Luigi Carratino, Stefano Vigogna, Daniele Calandriello et al.
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition
Cheng-I Jeff Lai, Yang Zhang, Alexander H. Liu et al.
PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization
Benyuan Sun, Hongxing Huo, YI YANG et al.
Partial success in closing the gap between human and machine vision
Robert Geirhos, Kantharaju Narayanappa, Benjamin Mitzkus et al.
Particle Cloud Generation with Message Passing Generative Adversarial Networks
Raghav Kansal, Javier Duarte, Hao Su et al.
Particle Dual Averaging: Optimization of Mean Field Neural Network with Global Convergence Rate Analysis
Atsushi Nitanda, Denny Wu, Taiji Suzuki
Partition and Code: learning how to compress graphs
Giorgos Bouritsas, Andreas Loukas, Nikolaos Karalias et al.
Partition-Based Formulations for Mixed-Integer Optimization of Trained ReLU Neural Networks
Calvin Tsay, Jan Kronqvist, Alexander Thebelt et al.
Passive attention in artificial neural networks predicts human visual selectivity
Thomas Langlois, Haicheng Zhao, Erin Grant et al.
PatchGame: Learning to Signal Mid-level Patches in Referential Games
Kamal Gupta, Gowthami Somepalli, Anubhav Anubhav et al.
Pay Attention to MLPs
Hanxiao Liu, Zihang Dai, David So et al.
Pay Better Attention to Attention: Head Selection in Multilingual and Multi-Domain Sequence Modeling
Hongyu Gong, Yun Tang, Juan Pino et al.
PCA Initialization for Approximate Message Passing in Rotationally Invariant Models
Marco Mondelli, Ramji Venkataramanan
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations
Moshe Eliasof, Eldad Haber, Eran Treister
Perceptual Score: What Data Modalities Does Your Model Perceive?
Itai Gat, Idan Schwartz, Alex Schwing
Periodic Activation Functions Induce Stationarity
Lassi Meronen, Martin Trapp, Arno Solin
Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning
Robin Winter, Frank Noe, Djork-Arné Clevert
Permuton-induced Chinese Restaurant Process
Masahiro Nakano, Yasuhiro Fujiwara, Akisato Kimura et al.
Per-Pixel Classification is Not All You Need for Semantic Segmentation
Bowen Cheng, Alex Schwing, Alexander Kirillov