
Improving Label Noise Robustness with Data Augmentation and Semi-Supervised Learning (Student Abstract)
Author(s) -
Kento Nishi,
Yi Ding,
Alex Rich,
Tobias Höllerer
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.v35i18.17924
Subject(s) - overfitting , robustness (evolution) , computer science , machine learning , crowdsourcing , artificial intelligence , noise (video) , noisy data , benchmark (surveying) , training set , pattern recognition (psychology) , data mining , image (mathematics) , biochemistry , chemistry , geodesy , world wide web , artificial neural network , gene , geography