397 citations · 457 across the 4 of their papers we have counts for
5 papers · 1 filter
Long-Term Planning and Situational Awareness in OpenAI Five
Jonathan Raiman, Susan Zhang, Filip Wolski
Understanding how knowledge about the world is represented within model-free deep reinforcement learning methods is a major challenge given the black box nature of its learning pro…
Neural Network Surgery with Sets
Jonathan Raiman, Susan Zhang, Christy Dennison
The cost to train machine learning models has been increasing exponentially, making exploration and research into the correct features and architecture a costly or intractable ende…
DeepType: Multilingual Entity Linking by Neural Type System Evolution
Jonathan Raiman, Olivier Raiman
The wealth of structured (e.g. Wikidata) and unstructured data about the world available today presents an incredible opportunity for tomorrow's Artificial Intelligence. So far, in…
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…
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…