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Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions
We develop and rigorously evaluate a deep learning based system that can...
04/08/2021 ∙ by Abhijit Guha Roy, et al. ∙
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Supervised Transfer Learning at Scale for Medical Imaging
Transfer learning is a standard technique to improve performance on task...
01/14/2021 ∙ by Basil Mustafa, et al. ∙
30
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Big Self-Supervised Models Advance Medical Image Classification
Self-supervised pretraining followed by supervised fine-tuning has seen ...
01/13/2021 ∙ by Shekoofeh Azizi, et al. ∙
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Deep Ensembles for Low-Data Transfer Learning
In the low-data regime, it is difficult to train good supervised models ...
10/14/2020 ∙ by Basil Mustafa, et al. ∙
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Scalable Transfer Learning with Expert Models
Transfer of pre-trained representations can improve sample efficiency an...
09/28/2020 ∙ by Joan Puigcerver, et al. ∙
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Analysis of Softmax Approximation for Deep Classifiers under Input-Dependent Label Noise
Modelling uncertainty arising from input-dependent label noise is an inc...
03/15/2020 ∙ by Mark Collier, et al. ∙
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Learning to Segment Medical Images with Scribble-Supervision Alone
Semantic segmentation of medical images is a crucial step for the quanti...
07/12/2018 ∙ by Yigit B. Can, et al. ∙
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