Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments

Jinkun Lin, Anqi Zhang, Mathias Lecuyer +3

We develop a new, principled algorithm for estimating the contribution of training data points to the behavior of a deep learning model, such as a specific prediction it makes. Our…