Towards modular and programmable architecture search

Renato Negrinho
Renato Negrinho
Darshan Patil
Darshan Patil
Nghia Le
Nghia Le

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), 2019.

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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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