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06/16/2023
LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning
Labeled data are critical to modern machine learning applications, but o...
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02/14/2023
Algorithm Selection for Deep Active Learning with Imbalanced Datasets
Label efficiency has become an increasingly important objective in deep ...
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10/06/2022
A Better Way to Decay: Proximal Gradient Training Algorithms for Neural Nets
Weight decay is one of the most widely used forms of regularization in d...
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02/03/2022
GALAXY: Graph-based Active Learning at the Extreme
Active learning is a label-efficient approach to train highly effective ...
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05/13/2021
Improved Algorithms for Agnostic Pool-based Active Classification
We consider active learning for binary classification in the agnostic po...
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10/29/2020
