Modeling pigeon behavior using a Conditional Restricted Boltzmann Machine. - Matthew D. Zeiler; Graham W. Taylor; Nikolaus F. Troje; Geoffrey E. Hinton (ESANN, 2009)

Deconvolutional networks. - Matthew D. Zeiler; Dilip Krishnan; Graham W. Taylor; Robert Fergus (CVPR, 2010)

Adaptive deconvolutional networks for mid and high level feature learning. - Matthew D. Zeiler; Graham W. Taylor; Rob Fergus (ICCV, 2011)

Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines. - Matthew D. Zeiler; Graham W. Taylor; Leonid Sigal; Iain A. Matthews; Rob Fergus (NIPS, 2011)

Differentiable Pooling for Hierarchical Feature Learning - Matthew D. Zeiler; Rob Fergus (CoRR, 2012)

ADADELTA: An Adaptive Learning Rate Method - Matthew D. Zeiler (CoRR, 2012)

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 (ICASSP, 2013)

Regularization of Neural Networks using DropConnect. - Li Wan 002; Matthew D. Zeiler; Sixin Zhang; Yann LeCun; Rob Fergus (ICML (3), 2013)

Stochastic Pooling for Regularization of Deep Convolutional Neural Networks - Matthew D. Zeiler; Rob Fergus (ICLR, 2013)

Visualizing and Understanding Convolutional Networks. - Matthew D. Zeiler; Rob Fergus (ECCV (1), 2014)

Hierarchical Convolutional Deep Learning in Computer Vision. - Matthew D. Zeiler (2014)