9.7k citations · 45.3k across the 61 of their papers we have counts for
Showing 2015Show all
3 papers · 1 filter
cs.LG2015★ 308 cited
Adversarial Autoencoders
Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly +2
In this paper, we propose the "adversarial autoencoder" (AAE), which is a probabilistic autoencoder that uses the recently proposed generative adversarial networks (GAN) to perform…
cs.LG2015★ 156 cited
Net2Net: Accelerating Learning via Knowledge Transfer
Tianqi Chen, Ian Goodfellow, Jonathon Shlens
We introduce techniques for rapidly transferring the information stored in one neural net into another neural net. The main purpose is to accelerate the training of a significantly…
stat.ML2015★ 31 cited
Efficient Per-Example Gradient Computations
Ian Goodfellow
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 gradien…