We show that recent innovations in deep reinforcement learning can
effec...
We show how Zipf's Law can be used to scale up language modeling (LM) to...
We propose the multi-head convolutional neural network (MCNN) architectu...
Deep learning (DL) creates impactful advances following a virtuous recip...
Recurrent Neural Networks (RNNs) are used in state-of-the-art models in
...
Deep neural networks have enabled progress in a wide variety of applicat...
We introduce a technique for augmenting neural text-to-speech (TTS) with...
Recurrent Neural Networks (RNN) are widely used to solve a variety of
pr...
We present Deep Voice, a production-quality text-to-speech system constr...