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Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning
Author(s) -
Zhiqiang Shen,
Zechun Liu,
Zhuang Liu,
Marios Savvides,
Trevor Darrell,
Eric P. Xing
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.v36i2.20119
Subject(s) - overfitting , computer science , unsupervised learning , artificial intelligence , code (set theory) , hyperparameter , machine learning , image (mathematics) , representation (politics) , source code , similarity (geometry) , space (punctuation) , pattern recognition (psychology) , variance (accounting) , transfer of learning , feature learning , artificial neural network , accounting , set (abstract data type) , politics , political science , law , business , programming language , operating system

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