Papers
Parallel Hierarchical Attention Networks with Shared Memory Reader for Multi-Stream Conversational Document Classification
Naoki Sawada, Ryo Masumura, Hiromitsu Nishizaki
Parallel Multiscale Autoregressive Density Estimation
Scott Reed, Aäron Oord, Nal Kalchbrenner et al.
Parallel Neural Network Features for Improved Tandem Acoustic Modeling
Zoltán Tüske, Wilfried Michel, Ralf Schlüter et al.
Parallel Streaming Wasserstein Barycenters
Matthew Staib, Sebastian Claici, Justin M Solomon et al.
Parallel Symmetric Class Expression Learning
An C. Tran, Jens Dietrich, Hans W. Guesgen et al.
Parameter-Free Online Learning via Model Selection
Dylan J Foster, Satyen Kale, Mehryar Mohri et al.
Parameter identification in Markov chain choice models
Arushi Gupta, Daniel Hsu
Parameterised Verification of Data-aware Multi-Agent Systems
Francesco Belardinelli, Panagiotis Kouvaros, Alessio Lomuscio
Parametric Simplex Method for Sparse Learning
Haotian Pang, Han Liu, Robert J Vanderbei et al.
Parametric T-Spline Face Morphable Model for Detailed Fitting in Shape Subspace
Weilong Peng, Zhiyong Feng, Chao Xu et al.
Paraphrasing Revisited with Neural Machine Translation
Jonathan Mallinson, Rico Sennrich, Mirella Lapata
Pareto Optimal Allocation under Uncertain Preferences
Haris Aziz, Ronald de Haan, Baharak Rastegari
ParlAI: A Dialog Research Software Platform
Alexander Miller, Will Feng, Dhruv Batra et al.
Parser Adaptation for Social Media by Integrating Normalization
Rob van der Goot, Gertjan van Noord
Parseval Networks: Improving Robustness to Adversarial Examples
Moustapha Cisse, Piotr Bojanowski, Edouard Grave et al.
Parsing Images of Overlapping Organisms With Deep Singling-Out Networks
Victor Yurchenko, Victor Lempitsky
Parsing Natural Language Conversations using Contextual Cues
Shashank Srivastava, Amos Azaria, Tom Mitchell
Parsing to 1-Endpoint-Crossing, Pagenumber-2 Graphs
Junjie Cao, Sheng Huang, Weiwei Sun et al.
Parsing Universal Dependencies without training
Héctor Martínez Alonso, Željko Agić, Barbara Plank et al.
Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture Models
Alexandre Bouchard-Côté, Arnaud Doucet, Andrew Roth
Partitioned Tensor Factorizations for Learning Mixed Membership Models
Zilong Tan, Sayan Mukherjee
Part-of-Speech Tagging for Twitter with Adversarial Neural Networks
Tao Gui, Qi Zhang, Haoran Huang et al.
Pashto Intonation Patterns
Luca Rognoni, Judith Bishop, Miriam Corris
PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference
Jonathan Huggins, Ryan P. Adams, Tamara Broderick