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EfficientNet: Improving Accuracy and Efficiency through AutoML and Model Scaling

Moving Camera, Moving People: A Deep Learning Approach to Depth Prediction

Introducing Translatotron: An End-to-End Speech-to-Speech Translation Model

An End-to-End AutoML Solution for Tabular Data at KaggleDays

Announcing Open Images V5 and the ICCV 2019 Open Images Challenge

Google at ICLR 2019

Announcing Google-Landmarks-v2: An Improved Dataset for Landmark Recognition & Retrieval

Announcing the 6th Fine-Grained Visual Categorization Workshop

Evaluating the Unsupervised Learning of Disentangled Representations

SpecAugment: A New Data Augmentation Method for Automatic Speech Recognition

MorphNet: Towards Faster and Smaller Neural Networks