Evolutionary Approach for AutoAugment Using the Thermodynamical Genetic Algorithm
Author(s) -
Akira Terauchi,
Naoki Mori
Publication year - 2021
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v35i11.17184
Subject(s) - computer science , generalization , benchmark (surveying) , machine learning , evolutionary algorithm , genetic algorithm , population , artificial intelligence , operator (biology) , computation , evolutionary computation , sampling (signal processing) , algorithm , data mining , mathematics , transcription factor , gene , filter (signal processing) , geodesy , demography , mathematical analysis , biochemistry , geography , chemistry , sociology , repressor , computer vision
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