Papers
Power analysis of knockoff filters for correlated designs
Jingbo Liu, Philippe Rigollet
Power k-Means Clustering
Jason Xu, Kenneth Lange
Powerset Convolutional Neural Networks
Chris Wendler, Markus Püschel, Dan Alistarh
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization
Thijs Vogels, Sai Praneeth Karimireddy, Martin Jaggi
PPGNet: Learning Point-Pair Graph for Line Segment Detection
Ziheng Zhang, Zhengxin Li, Ning Bi et al.
Practical Algorithms for Multi-Stage Voting Rules with Parallel Universes Tiebreaking
Jun Wang, Sujoy Sikdar, Tyler Shepherd et al.
Practical and Consistent Estimation of f-Divergences
Paul Rubenstein, Olivier Bousquet, Josip Djolonga et al.
Practical Applicability of Deep Neural Networks for Overlapping Speaker Separation
Pieter Appeltans, Jeroen Zegers, Hugo Van hamme
Practical Coding Function Design for Time-Of-Flight Imaging
Felipe Gutierrez-Barragan, Syed Azer Reza, Andreas Velten et al.
Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm
Moontae Lee, Sungjun Cho, David Bindel et al.
Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm
Moontae Lee, Sungjun Cho, David Bindel et al.
Practical Deep Learning with Bayesian Principles
Kazuki Osawa, Siddharth Swaroop, Mohammad Emtiyaz Khan et al.
Practical Differentially Private Top-k Selection with Pay-what-you-get Composition
David Durfee, Ryan M Rogers
Practical, Efficient, and Customizable Active Learning for Named Entity Recognition in the Digital Humanities
Alexander Erdmann, David Joseph Wrisley, Benjamin Allen et al.
Practical Full Resolution Learned Lossless Image Compression
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen et al.
Practical lossless compression with latent variables using bits back coding
James Townsend, Thomas Bird, David Barber
Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning
Jian Wu, Saul Toscano-Palmerin, Peter I. Frazier et al.
Practical Obstacles to Deploying Active Learning
David Lowell, Zachary C. Lipton, Byron C. Wallace
Practical Obstacles to Deploying Active Learning
David Lowell, Zachary C. Lipton, Byron C. Wallace
Practical Semantic Parsing for Spoken Language Understanding
Marco Damonte, Rahul Goel, Tagyoung Chung
Practical Two-Step Lookahead Bayesian Optimization
Jian Wu, Peter Frazier
PRADO: Projection Attention Networks for Document Classification On-Device
Prabhu Kaliamoorthi, Sujith Ravi, Zornitsa Kozareva
PRADO: Projection Attention Networks for Document Classification On-Device
Prabhu Kaliamoorthi, Sujith Ravi, Zornitsa Kozareva
Pragmatically Informative Text Generation
Sheng Shen, Daniel Fried, Jacob Andreas et al.
Precise Detection in Densely Packed Scenes
Eran Goldman, Roei Herzig, Aviv Eisenschtat et al.