Papers
Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP
Reza Haffari, Colin Cherry, George Foster et al.
Proceedings of the Workshop on Figurative Language Processing
Beata Beigman Klebanov, Ekaterina Shutova, Patricia Lichtenstein et al.
Proceedings of the Workshop on Generalization in the Age of Deep Learning
Yonatan Bisk, Omer Levy, Mark Yatskar
Proceedings of the Workshop on Machine Reading for Question Answering
Eunsol Choi, Minjoon Seo, Danqi Chen et al.
Proceedings of the Workshop on the Relevance of Linguistic Structure in Neural Architectures for NLP
Georgiana Dinu, Miguel Ballesteros, Avirup Sil et al.
Proceedings of Workshop for NLP Open Source Software (NLP-OSS)
Eunjeong L. Park, Masato Hagiwara, Dmitrijs Milajevs et al.
Processing MWEs: Neurocognitive Bases of Verbal MWEs and Lexical Cohesiveness within MWEs
Shohini Bhattasali, Murielle Fabre, John Hale
Processing of missing data by neural networks
Marek Śmieja, Łukasz Struski, Jacek Tabor et al.
Processing Transition Regions of Glottal Stop Substituted /S/ for Intelligibility Enhancement of Cleft Palate Speech
Protima Nomo Sudro, Sishir Kalita, S R Mahadeva Prasanna
Product Kernel Interpolation for Scalable Gaussian Processes
Jacob Gardner, Geoff Pleiss, Ruihan Wu et al.
Product Quantization Network for Fast Image Retrieval
Tan Yu, Junsong Yuan, Chen Fang et al.
Profile-Based Bandit with Unknown Profiles
Sylvain Lamprier, Thibault Gisselbrecht, Patrick Gallinari
Profitable Bandits
Mastane Achab, Stephan Clémençon, Aurélien Garivier
Programmable Triangulation Light Curtains
Jian Wang, Joseph Bartels, William Whittaker et al.
Programmatically Interpretable Reinforcement Learning
Abhinav Verma, Vijayaraghavan Murali, Rishabh Singh et al.
Progress & Compress: A scalable framework for continual learning
Jonathan Schwarz, Wojciech Czarnecki, Jelena Luketina et al.
Progressive Attention Guided Recurrent Network for Salient Object Detection
Xiaoning Zhang, Tiantian Wang, Jinqing Qi et al.
Progressive Blockwise Knowledge Distillation for Neural Network Acceleration
Hui Wang, Hanbin Zhao, Xi Li et al.
Progressive Generative Hashing for Image Retrieval
Yuqing Ma, Yue He, Fan Ding et al.
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras, Timo Aila, Samuli Laine et al.
Progressive Neural Architecture Search
Chenxi Liu, Barret Zoph, Maxim Neumann et al.
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control
Glen Berseth, Cheng Xie, Paul Cernek et al.
Progressive Structure from Motion
Alex Locher, Michal Havlena, Luc Van Gool
Projecting Embeddings for Domain Adaption: Joint Modeling of Sentiment Analysis in Diverse Domains
Jeremy Barnes, Roman Klinger, Sabine Schulte im Walde