Towards modular and programmable architecture search
NeurIPS, pp. 13715-13725, 2019.
Neural architecture search methods are able to find high performance deep learning architectures with minimal effort from an expert . However, current systems focus on specific use-cases (e.g. convolutional image classifiers and recurrent language models), making them unsuitable for general use-cases that an expert might wish to write....More
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