Efficient Per-Example Gradient Computations
2015-10-07Code Available2· sign in to hype
Ian Goodfellow
Code Available — Be the first to reproduce this paper.
ReproduceCode
- github.com/tensorflow/privacytf★ 2,003
- github.com/jialinmao/private_cnnpytorch★ 10
- github.com/cybertronai/autograd-libpytorch★ 0
- github.com/owkin/grad-cnnspytorch★ 0
Abstract
This technical report describes an efficient technique for computing the norm of the gradient of the loss function for a neural network with respect to its parameters. This gradient norm can be computed efficiently for every example.