[Google Research]
TracIn — A Simple Method to Estimate Training Data Influence
Posted by Frederick Liu and Garima Pruthi, Software Engineers, Google Research The quality of a machine learning ML model’s training data can have a significant impact on its performance. One measure of data quality is the notion of influence, i.e., the degree to which a given training example
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