Papers
Predictive-State Decoders: Encoding the Future into Recurrent Networks
Arun Venkatraman, Nicholas Rhinehart, Wen Sun et al.
Predictive State Recurrent Neural Networks
Carlton Downey, Ahmed Hefny, Byron Boots et al.
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
Yunbo Wang, Mingsheng Long, Jianmin Wang et al.
Premise Selection for Theorem Proving by Deep Graph Embedding
Mingzhe Wang, Yihe Tang, Jian Wang et al.
Preventing Gradient Explosions in Gated Recurrent Units
Sekitoshi Kanai, Yasuhiro Fujiwara, Sotetsu Iwamura
Principles of Riemannian Geometry in Neural Networks
Michael Hauser, Asok Ray
Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models
Chris Oates, Steven Niederer, Angela Lee et al.
Probabilistic Rule Realization and Selection
Haizi Yu, Tianxi Li, Lav R. Varshney
Process-constrained batch Bayesian optimisation
Pratibha Vellanki, Santu Rana, Sunil Gupta et al.
Protein Interface Prediction using Graph Convolutional Networks
Alex Fout, Jonathon Byrd, Basir Shariat et al.
Prototypical Networks for Few-shot Learning
Jake Snell, Kevin Swersky, Richard Zemel
PRUNE: Preserving Proximity and Global Ranking for Network Embedding
Yi-An Lai, Chin-Chi Hsu, Wen Hao Chen et al.
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes
Jianshu Chen, Chong Wang, Lin Xiao et al.
QMDP-Net: Deep Learning for Planning under Partial Observability
Peter Karkus, David Hsu, Wee Sun Lee
QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding
Dan Alistarh, Demjan Grubic, Jerry Li et al.
Quantifying how much sensory information in a neural code is relevant for behavior
Giuseppe Pica, Eugenio Piasini, Houman Safaai et al.
Query Complexity of Clustering with Side Information
Arya Mazumdar, Barna Saha
Question Asking as Program Generation
Anselm Rothe, Brenden M Lake, Todd Gureckis
Random Permutation Online Isotonic Regression
Wojciech Kotlowski, Wouter M. Koolen, Alan Malek
Random Projection Filter Bank for Time Series Data
Amir-massoud Farahmand, Sepideh Pourazarm, Daniel Nikovski
Ranking Data with Continuous Labels through Oriented Recursive Partitions
Stéphan Clémençon, Mastane Achab
Real-Time Bidding with Side Information
arthur flajolet, Patrick Jaillet
Real Time Image Saliency for Black Box Classifiers
Piotr Dabkowski, Yarin Gal
REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models
George Tucker, Andriy Mnih, Chris J Maddison et al.
Reconstruct & Crush Network
Erinc Merdivan, Mohammad Reza Loghmani, Matthieu Geist