Open AccessExploiting Invariance in Training Deep Neural Networks
Author(s) -
Chengxi Ye,
Xiong Zhou,
Tristan McKinney,
Yanfeng Liu,
Qinggang Zhou,
Fedor Zhdanov
Publication year - 2022
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v36i8.20866
Subject(s) - computer science , computation , artificial intelligence , scale invariance , invariant (physics) , convolutional neural network , deep learning , convolution (computer science) , algorithm , artificial neural network , pattern recognition (psychology) , machine learning , mathematics , statistics , mathematical physics
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