4.6k citations · 7.2k across the 13 of their papers we have counts for
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2 papers · 1 filter
cs.LG2014★ 12 cited
ADASECANT: Robust Adaptive Secant Method for Stochastic Gradient
Caglar Gulcehre, Marcin Moczulski, Yoshua Bengio
Stochastic gradient algorithms have been the main focus of large-scale learning problems and they led to important successes in machine learning. The convergence of SGD depends on…
stat.ML2014★ 4.6k cited
Generative Adversarial Networks
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza +5
We propose a new framework for estimating generative models via an adversarial process, in which we simultaneously train two models: a generative model G that captures the data dis…