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Coping with Label Shift via Distributionally Robust Optimisation
The label shift problem refers to the supervised learning setting where ...
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Robust Large-Margin Learning in Hyperbolic Space
Recently, there has been a surge of interest in representation learning ...
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Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach
We present a theoretically grounded approach to train deep neural networ...
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Predicting accurate probabilities with a ranking loss
In many real-world applications of machine learning classifiers, it is e...
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Aditya Menon
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