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05/15/2021
An Effective Baseline for Robustness to Distributional Shift
Refraining from confidently predicting when faced with categories of inp...
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09/10/2020
Why I'm not Answering
Safe deployment of deep learning systems in critical real world applicat...
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05/27/2019
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
Mixup zhang2017mixup is a recently proposed method for training deep neu...
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05/27/2019
Combating Label Noise in Deep Learning Using Abstention
We introduce a novel method to combat label noise when training deep neu...
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04/29/2015
