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02/01/2022
Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
There is a fundamental limitation in the prediction performance that a m...
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03/01/2021
LocalDrop: A Hybrid Regularization for Deep Neural Networks
In neural networks, developing regularization algorithms to settle overf...
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02/20/2020
Do We Need Zero Training Loss After Achieving Zero Training Error?
Overparameterized deep networks have the capacity to memorize training d...
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10/10/2018
Complementary-Label Learning for Arbitrary Losses and Models
In contrast to the standard classification paradigm where the true (or p...
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10/19/2017
Binary Classification from Positive-Confidence Data
Reducing labeling costs in supervised learning is a critical issue in ma...
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05/22/2017