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Growing or Compressing Datasets · Introduction to Data-Centric AI

dcai.csail.mit.edu · 1,826 words · saved by 1 readers

Learn cost-effective ways to grow datasets and cost-effective ways to train models on large datasets.

Growing or Compressing Datasets · Introduction to Data-Centric AI Growing or Compressing Datasets Slides: [ pdf , pptx ] For supervised learning applications where training data have been annotated by humans, labeling is time-consuming and expensive. This lecture focuses on ways to more carefully select what examples to label and reduce the labeling burden of creating modern ML systems. Specifically, we look at the following approaches: Active learning as a way to intelligently select examples to label and grow datasets Core-set selection to compress datasets down to a representative su

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