3.6k citations · 10.6k across the 54 of their papers we have counts for
Showing 2020 · cs.LGShow all
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cs.LG2020★ 53 cited
Affinity and Diversity: Quantifying Mechanisms of Data Augmentation
Raphael Gontijo-Lopes, Sylvia J. Smullin, Ekin D. Cubuk +1
Though data augmentation has become a standard component of deep neural network training, the underlying mechanism behind the effectiveness of these techniques remains poorly under…
cs.LG2020★ 2.3k cited
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn, David Berthelot, Chun-Liang Li +6
Semi-supervised learning (SSL) provides an effective means of leveraging unlabeled data to improve a model's performance. In this paper, we demonstrate the power of a simple combin…