5.5k citations · 6.6k across the 5 of their papers we have counts for
Showing 2012Show all
2 papers · 1 filter
cs.LG2012★ 5.5k cited
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
We present a novel per-dimension learning rate method for gradient descent called ADADELTA. The method dynamically adapts over time using only first order information and has minim…
cs.CV2012★ 9 cited
Differentiable Pooling for Hierarchical Feature Learning
Matthew D. Zeiler, Rob Fergus
We introduce a parametric form of pooling, based on a Gaussian, which can be optimized alongside the features in a single global objective function. By contrast, existing pooling s…