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Quoc V. Le
Researcher at Google
Publications - 229
Citations - 127721
Quoc V. Le is an academic researcher from Google. The author has contributed to research in topics: Artificial neural network & Language model. The author has an hindex of 103, co-authored 217 publications receiving 101217 citations. Previous affiliations of Quoc V. Le include Northwestern University & Tel Aviv University.
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An Online Sequence-to-Sequence Model Using Partial Conditioning
TL;DR: In this article, an encoder recurrent neural network (RNN) is used to compute features at the same frame rate as the input, and a transducer RNN that operates over blocks of input steps.
Proceedings Article
CoAtNet: Marrying Convolution and Attention for All Data Sizes
TL;DR: CoAtNets as mentioned in this paper is a family of hybrid models built from two key insights: depthwise convolution and self-attention can be unified via simple relative attention and vertically stacking convolution layers and attention layers in a principled way.
Journal ArticleDOI
Revisiting Multi-Scale Feature Fusion for Semantic Segmentation
TL;DR: This paper develops a simplified segmentation model, named ESeg, which has neither high internal resolution nor expensive atrous convolutions and can achieve better accuracy with faster speed than prior art across multiple datasets.
Journal ArticleDOI
Unified Functional Hashing in Automatic Machine Learning
Ryan Gillard,S. Jonany,Yingjie Miao,Michael Munn,Connal de Souza,Jonathan Dungay,Chen Liang,David R. So,Quoc V. Le,Esteban Real +9 more
TL;DR: In this paper , a fast unified functional hash is proposed to detect when the evolutionary search method produces equivalent candidates, which occurs very frequently, and this way avoid their costly re-evaluation.