Gaspar Rochette

Efficient Per-Example Gradient Computations in Convolutional Neural Networks

2019 · arXiv (Cornell University)

Deep learning frameworks leverage GPUs to perform massively-parallel computations over batches of many training examples efficiently. However, for certain tasks, one may be interested in performing per-example computations, for instance using per-example gradients to evaluate …