Papers
PAC-Bayes bounds for stable algorithms with instance-dependent priors
Omar Rivasplata, Emilio Parrado-Hernandez, John S Shawe-Taylor et al.
PAC-Bayes Control: Synthesizing Controllers that Provably Generalize to Novel Environments
Anirudha Majumdar, Maxwell Goldstein
PAC-Bayes Tree: weighted subtrees with guarantees
Tin D Nguyen, Samory Kpotufe
PacGAN: The power of two samples in generative adversarial networks
Zinan Lin, Ashish Khetan, Giulia Fanti et al.
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
Arun Mallya, Svetlana Lazebnik
PAC-learning in the presence of adversaries
Daniel Cullina, Arjun Nitin Bhagoji, Prateek Mittal
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing
Dan Xu, Wanli Ouyang, Xiaogang Wang et al.
PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup
Huiwen Chang, Jingwan Lu, Fisher Yu et al.
Paired Phone-Posteriors Approach to ESL Pronunciation Quality Assessment
Yujia Xiao, Frank Soong, Wenping Hu
Pairwise Liquid Democracy
Markus Brill, Nimrod Talmon
Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction
Zhi Qiao, Shiwan Zhao, Cao Xiao et al.
PannoMulloKathan: Voice Enabled Mobile App for Agricultural Commodity Price Dissemination in Bengali Language
Madhab Pal, Rajib Roy, Soma Khan et al.
Paper Abstract Writing through Editing Mechanism
Qingyun Wang, Zhihao Zhou, Lifu Huang et al.
Par4Sim – Adaptive Paraphrasing for Text Simplification
Seid Muhie Yimam, Chris Biemann
Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks
Yao Zhao, Xiaochuan Ni, Yuanyuan Ding et al.
Parallel and Distributed MCMC via Shepherding Distributions
Arkabandhu Chowdhury, Christopher Jermaine
Parallel and Streaming Algorithms for K-Core Decomposition
Hossein Esfandiari, Silvio Lattanzi, Vahab Mirrokni
Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries
Bohan Zhuang, Qi Wu, Chunhua Shen et al.
Parallel Bayesian Network Structure Learning
Tian Gao, Dennis Wei
Parallel Corpora for bi-Directional Statistical Machine Translation for Seven Ethiopian Language Pairs
Solomon Teferra Abate, Michael Melese, Martha Yifiru Tachbelie et al.
Parallel Corpora for bi-lingual English-Ethiopian Languages Statistical Machine Translation
Solomon Teferra Abate, Michael Melese, Martha Yifiru Tachbelie et al.
Parallelised Bayesian Optimisation via Thompson Sampling
Kirthevasan Kandasamy, Akshay Krishnamurthy, Jeff Schneider et al.
Parallelizing Linear Recurrent Neural Nets Over Sequence Length
Eric Martin, Chris Cundy
Parallelizing Spectrally Regularized Kernel Algorithms
Nicole Mücke, Gilles Blanchard
Parallelizing Stochastic Gradient Descent for Least Squares Regression: Mini-batching, Averaging, and Model Misspecification
Prateek Jain, Sham M. Kakade, Rahul Kidambi et al.