Matthew D. Zeiler

Publication Activity (10 Years)

Years Active: 2009-2014
Publications (10 Years): 0

Top Topics

Parameter Selection

Regularization Methods

Top Venues

Publications

Matthew D. Zeiler, Rob Fergus
Visualizing and Understanding Convolutional Networks. ECCV (1) (2014)
Matthew D. Zeiler, Rob Fergus
Stochastic Pooling for Regularization of Deep Convolutional Neural Networks ICLR (2013)
Matthew D. Zeiler, Rob Fergus
Visualizing and Understanding Convolutional Networks. CoRR (2013)
Li Wan, Matthew D. Zeiler, Sixin Zhang, Yann LeCun, Rob Fergus
Regularization of Neural Networks using DropConnect. ICML (3) (2013)
Matthew D. Zeiler, Marc'Aurelio Ranzato, Rajat Monga, Mark Z. Mao, K. Yang, Quoc Viet Le, Patrick Nguyen, Andrew W. Senior, Vincent Vanhoucke, Jeffrey Dean, Geoffrey E. Hinton
On rectified linear units for speech processing. ICASSP (2013)
Matthew D. Zeiler, Rob Fergus
Differentiable Pooling for Hierarchical Feature Learning CoRR (2012)
Matthew D. Zeiler
ADADELTA: An Adaptive Learning Rate Method CoRR (2012)
Matthew D. Zeiler, Graham W. Taylor, Leonid Sigal, Iain A. Matthews, Rob Fergus
Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines. NIPS (2011)
Matthew D. Zeiler, Graham W. Taylor, Rob Fergus
Adaptive deconvolutional networks for mid and high level feature learning. ICCV (2011)
Matthew D. Zeiler, Dilip Krishnan, Graham W. Taylor, Robert Fergus
Deconvolutional networks. CVPR (2010)
Matthew D. Zeiler, Graham W. Taylor, Nikolaus F. Troje, Geoffrey E. Hinton
Modeling pigeon behavior using a Conditional Restricted Boltzmann Machine. ESANN (2009)