Labeled data are critical to modern machine learning applications, but
o...
Label efficiency has become an increasingly important objective in deep
...
Weight decay is one of the most widely used forms of regularization in d...
Active learning is a label-efficient approach to train highly effective
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We consider active learning for binary classification in the agnostic
po...
This work proposes a procedure for designing algorithms for specific ada...