397 citations · 398 across the 2 of their papers we have counts for
3 papers
cs.CL2017
Globally Normalized Reader
Jonathan Raiman, John Miller
Rapid progress has been made towards question answering (QA) systems that can extract answers from text. Existing neural approaches make use of expensive bi-directional attention m…
cs.CL2017★ 397 cited
Deep Voice: Real-time Neural Text-to-Speech
Sercan O. Arik, Mike Chrzanowski, Adam Coates +9
We present Deep Voice, a production-quality text-to-speech system constructed entirely from deep neural networks. Deep Voice lays the groundwork for truly end-to-end neural speech…
cs.LG2015★ 1 cited
Occam's Gates
Jonathan Raiman, Szymon Sidor
We present a complimentary objective for training recurrent neural networks (RNN) with gating units that helps with regularization and interpretability of the trained model. Attent…