research
∙
02/26/2019
Coloring Big Graphs with AlphaGoZero
We show that recent innovations in deep reinforcement learning can effec...
share
research
∙
10/23/2018
Language Modeling at Scale
We show how Zipf's Law can be used to scale up language modeling (LM) to...
research
∙
08/20/2018
Fast Spectrogram Inversion using Multi-head Convolutional Neural Networks
We propose the multi-head convolutional neural network (MCNN) architectu...
research
∙
12/01/2017
Deep Learning Scaling is Predictable, Empirically
Deep learning (DL) creates impactful advances following a virtuous recip...
research
∙
11/08/2017
Block-Sparse Recurrent Neural Networks
Recurrent Neural Networks (RNNs) are used in state-of-the-art models in ...
research
∙
10/10/2017
Mixed Precision Training
Deep neural networks have enabled progress in a wide variety of applicat...
research
∙
05/24/2017
Deep Voice 2: Multi-Speaker Neural Text-to-Speech
We introduce a technique for augmenting neural text-to-speech (TTS) with...
research
∙
04/17/2017
Exploring Sparsity in Recurrent Neural Networks
Recurrent Neural Networks (RNN) are widely used to solve a variety of pr...
research
∙
02/25/2017