Papers
Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation
Hao Zhao, Ming Lu, Anbang Yao et al.
Piecewise Latent Variables for Neural Variational Text Processing
Iulian Vlad Serban, Alexander G. Ororbia, Joelle Pineau et al.
Pitch Convergence as an Effect of Perceived Attractiveness and Likability
Jan Michalsky, Heike Schoormann
PixelCNN Models with Auxiliary Variables for Natural Image Modeling
Alexander Kolesnikov, Christoph H. Lampert
PixelGAN Autoencoders
Alireza Makhzani, Brendan J. Frey
Pixel-Level Matching for Video Object Segmentation Using Convolutional Neural Networks
Jae Shin Yoon, Francois Rameau, Junsik Kim et al.
Pixel Recursive Super Resolution
Ryan Dahl, Mohammad Norouzi, Jonathon Shlens
Pixels to Graphs by Associative Embedding
Alejandro Newell, Jia Deng
Pixelwise Instance Segmentation With a Dynamically Instantiated Network
Anurag Arnab, Philip H. S. Torr
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models
Caglar Gulcehre, Francis Dutil, Adam Trischler et al.
Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy
Tathagata Chakraborti, Sarath Sreedharan, Yu Zhang et al.
Plato's Cave in the Dempster-Shafer land--the Link between Pignistic and Plausibility Transformations
Chunlai Zhou, Biao Qin, Xiaoyong Du
Player Movement Models for Video Game Level Generation
Sam Snodgrass, Santiago Ontañón
Playing for Benchmarks
Stephan R. Richter, Zeeshan Hayder, Vladlen Koltun
Playing Repeated Network Interdiction Games with Semi-Bandit Feedback
Qingyu Guo, Bo An, Long Tran-Thanh
Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space
Anh Nguyen, Jeff Clune, Yoshua Bengio et al.
Pocket Knowledge Base Population
Travis Wolfe, Mark Dredze, Benjamin Van Durme
Poincaré Embeddings for Learning Hierarchical Representations
Maximillian Nickel, Douwe Kiela
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Charles Ruizhongtai Qi, Li Yi, Hao Su et al.
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Charles R. Qi, Hao Su, Kaichun Mo et al.
Point Set Registration With Global-Local Correspondence and Transformation Estimation
Su Zhang, Yang Yang, Kun Yang et al.
Point to Set Similarity Based Deep Feature Learning for Person Re-Identification
Sanping Zhou, Jinjun Wang, Jiayun Wang et al.
Poisson intensity estimation with reproducing kernels
Seth Flaxman, Yee Whye Teh, Dino Sejdinovic
Poisson Random Fields for Dynamic Feature Models
Valerio Perrone, Paul A. Jenkins, Dario Spanò et al.