Matthew D. Zeiler

According to our database, Matthew D. Zeiler authored at least 11 papers between 2009 and 2014.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2014

Hierarchical Convolutional Deep Learning in Computer Vision.

Matthew D. Zeiler

PhD thesis, 2014

Visualizing and Understanding Convolutional Networks.

Matthew D. Zeiler, Rob Fergus

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Stochastic Pooling for Regularization of Deep Convolutional Neural Networks

Matthew D. Zeiler, Rob Fergus

Proceedings of the 1st International Conference on Learning Representations, 2013

Regularization of Neural Networks using DropConnect.

Li Wan, Matthew D. Zeiler, Sixin Zhang, Yann LeCun, Rob Fergus

Proceedings of the 30th International Conference on Machine Learning, 2013

On rectified linear units for speech processing.

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

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

ADADELTA: An Adaptive Learning Rate Method

Matthew D. Zeiler

CoRR, 2012

Differentiable Pooling for Hierarchical Feature Learning

Matthew D. Zeiler, Rob Fergus

CoRR, 2012

2011

Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines.

Matthew D. Zeiler, Graham W. Taylor, Leonid Sigal, Iain A. Matthews, Rob Fergus

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Adaptive deconvolutional networks for mid and high level feature learning.

Matthew D. Zeiler, Graham W. Taylor, Rob Fergus

Proceedings of the IEEE International Conference on Computer Vision, 2011

2010

Deconvolutional networks.

Matthew D. Zeiler, Dilip Krishnan, Graham W. Taylor, Robert Fergus

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Modeling pigeon behavior using a Conditional Restricted Boltzmann Machine.

Matthew D. Zeiler, Graham W. Taylor, Nikolaus F. Troje, Geoffrey E. Hinton

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009