A fairly random set of papers that I found interesting. Updated weekly. Filter by subject, click for details

Robotics
Physics
Neuroscience
Misc
Predictive DL
Generative DL
Algorithmic DL
DL Theory
2018
May
Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors link
2016
October
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes link
October
Learning Multiagent Communication with Backpropagation link
October
Learning to Protect Communications with Adversarial Neural Cryptography link
September
Hierarchical Multiscale Recurrent Neural Networks link
August
Decoupled Neural Interfaces using Synthetic Gradients link
August
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks link
July
Accelerating Eulerian Fluid Simulation With Convolutional Networks link
June
Trust Region Policy Optimization link
May
Learning to Communicate with Deep Multi-Agent Reinforcement Learning link
May
Deep Learning without Poor Local Minima link
April
Natural speech reveals the semantic maps that tile human cerebral cortex link
2015
May
Meta-analysis of the heritability of human traits based on fifty years of twin studies link
May
Work smart, not hard: Recalling relevant experiences for vast-scale but time-constrained localization link
2014
October
Neural Turing Machines link
June
Generating Sequences With Recurrent Neural Networks link
2011
January
Walking or running in the rain — a simple derivation of a general solution link
1989
January
Multilayer feedforward networks are universal approximators link