1.1k citations · 4.2k across the 36 of their papers we have counts for
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cs.CV2019
Transfusion: Understanding Transfer Learning for Medical Imaging
Maithra Raghu, Chiyuan Zhang, Jon Kleinberg +1
Transfer learning from natural image datasets, particularly ImageNet, using standard large models and corresponding pretrained weights has become a de-facto method for deep learnin…
cs.CV2019★ 18 cited
Semantic Redundancies in Image-Classification Datasets: The 10% You Don't Need
Vighnesh Birodkar, Hossein Mobahi, Samy Bengio
Large datasets have been crucial to the success of deep learning models in the recent years, which keep performing better as they are trained with more labelled data. While there h…