Papers
PINs: Progressive Implicit Networks for Multi-Scale Neural Representations
Zoe Landgraf, Alexander Sorkine Hornung, Ricardo S Cabral
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification
Ling Pan, Longbo Huang, Tengyu Ma et al.
Planning with Diffusion for Flexible Behavior Synthesis
Michael Janner, Yilun Du, Joshua Tenenbaum et al.
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization
Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang et al.
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information
Changbin Li, Suraj Kothawade, Feng Chen et al.
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance
Qingru Zhang, Simiao Zuo, Chen Liang et al.
Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations
Amin Ghiasi, Hamid Kazemi, Steven Reich et al.
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks
Lukas Struppek, Dominik Hintersdorf, Antonio De Almeida Correira et al.
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration
Pengyi Li, Hongyao Tang, Tianpei Yang et al.
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
Xingang Peng, Shitong Luo, Jiaqi Guan et al.
POEM: Out-of-Distribution Detection with Posterior Sampling
Yifei Ming, Ying Fan, Yixuan Li
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging
Shishir G. Patil, Paras Jain, Prabal Dutta et al.
PoF: Post-Training of Feature Extractor for Improving Generalization
Ikuro Sato, Yamada Ryota, Masayuki Tanaka et al.
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL
Siyi Hu, Chuanlong Xie, Xiaodan Liang et al.
Policy Gradient Method For Robust Reinforcement Learning
Yue Wang, Shaofeng Zou
Popular decision tree algorithms are provably noise tolerant
Guy Blanc, Jane Lange, Ali Malik et al.
Position Prediction as an Effective Pretraining Strategy
Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram et al.
Power-Law Escape Rate of SGD
Takashi Mori, Liu Ziyin, Kangqiao Liu et al.
Practical Almost-Linear-Time Approximation Algorithms for Hybrid and Overlapping Graph Clustering
Lorenzo Orecchia, Konstantinos Ameranis, Charalampos Tsourakakis et al.
Preconditioning for Scalable Gaussian Process Hyperparameter Optimization
Jonathan Wenger, Geoff Pleiss, Philipp Hennig et al.
Predicting Out-of-Distribution Error with the Projection Norm
Yaodong Yu, Zitong Yang, Alexander Wei et al.
Principal Component Flows
Edmond Cunningham, Adam D Cobb, Susmit Jha
Principled Knowledge Extrapolation with GANs
Ruili Feng, Jie Xiao, Kecheng Zheng et al.
Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt
Sören Mindermann, Jan M Brauner, Muhammed T Razzak et al.
Privacy for Free: How does Dataset Condensation Help Privacy?
Tian Dong, Bo Zhao, Lingjuan Lyu