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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.
Papers
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Proceedings ArticleDOI
Improved Noisy Student Training for Automatic Speech Recognition
TL;DR: This work adapt and improve noisy student training for automatic speech recognition, employing (adaptive) SpecAugment as the augmentation method and finding effective methods to filter, balance and augment the data generated in between self-training iterations.
Posted Content
RandAugment: Practical data augmentation with no separate search.
TL;DR: RandAugment can be used uniformly across different tasks and datasets and works out of the box, matching or surpassing all previous learned augmentation approaches on CIFAR-10, CIFar-100, SVHN, and ImageNet.
Proceedings ArticleDOI
Meta Pseudo Labels
TL;DR: Meta pseudo labels as mentioned in this paper uses a teacher network to generate pseudo labels on unlabeled data to teach a student network, which achieves state-of-the-art performance on ImageNet.
Proceedings ArticleDOI
A scalable modular convex solver for regularized risk minimization
TL;DR: The theory and implementation of a highly scalable and modular convex solver which solves all these estimation problems, can be parallelized on a cluster of workstations, allows for data-locality, and can deal with regularizers such as l1 and l2 penalties.
Journal ArticleDOI
Estimating Labels from Label Proportions
TL;DR: This work presents consistent estimators which can reconstruct the correct labels with high probability in a uniform convergence sense in areas like e-commerce, spam filtering and improper content detection.