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Found 3 papers, 2 papers with code
Document Image Cleaning using Budget-Aware Black-Box Approximation
In this work, we propose two sample selection algorithms to train an OCR preprocessor with less than 10% of the original system's OCR engine queries, resulting in more than 60% reduction of the total training time without significant loss of accuracy.
Can Calibration Improve Sample Prioritization?
Calibration can reduce overconfident predictions of deep neural networks, but can calibration also accelerate training?
Tiny-HR: Towards an interpretable machine learning pipeline for heart rate estimation on edge devices
Further, a hybrid pipeline consisting of the upsampler and classifier, followed by a peak detection algorithm was developed.
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