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1909.04202
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Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults
10 September 2019
Baihong Jin
Yingshui Tan
Yuxin Chen
Alberto L. Sangiovanni-Vincentelli
Re-assign community
ArXiv (abs)
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Papers citing
"Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults"
2 / 2 papers shown
Title
Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities
Saul Calderon-Ramirez
Shengxiang-Yang
David Elizondo
Armaghan Moemeni
OOD
56
24
0
17 Aug 2021
Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI
Yingshui Tan
Baihong Jin
Xiangyu Yue
Yuxin Chen
Alberto L. Sangiovanni-Vincentelli
59
7
0
12 Jul 2020
1