It also covers strategies for sampling for real-world diversity to avoid bias. The book covers how to apply them indepedently, in combination, and for different use cases in Computer Vision and Natural Language Processing. Active Learning methods in the libraryĪctive Transfer Learning for Uncertainty SamplingĪctive Transfer Learning for Representative SamplingĪctive Transfer Learning for Adaptive Sampling (ATLAS) The code is stand-alone and can be used with the book. Library for common Active Learning methods to accompany:
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