Towards modular and programmable architecture search

Renato Negrinho
Renato Negrinho
Darshan Patil
Darshan Patil
Nghia Le
Nghia Le
Daniel Ferreira
Daniel Ferreira

NeurIPS, pp. 13715-13725, 2019.

Cited by: 1|Views46
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Abstract:

Neural architecture search methods are able to find high performance deep learning architectures with minimal effort from an expert [1]. 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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