8.9k citations · 11.5k across the 56 of their papers we have counts for
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Decoupled Neural Interfaces using Synthetic Gradients
Max Jaderberg, Wojciech Marian Czarnecki, Simon Osindero +4
Training directed neural networks typically requires forward-propagating data through a computation graph, followed by backpropagating error signal, to produce weight updates. All…
Strategic Attentive Writer for Learning Macro-Actions
Alexander, Vezhnevets, Volodymyr Mnih +5
We present a novel deep recurrent neural network architecture that learns to build implicit plans in an end-to-end manner by purely interacting with an environment in reinforcement…
Recursive Recurrent Nets with Attention Modeling for OCR in the Wild
Chen-Yu Lee, Simon Osindero
We present recursive recurrent neural networks with attention modeling (RAM) for lexicon-free optical character recognition in natural scene images. The primary advantages of t…