Matthew D. Zeiler

12 papers A* 3B 1Misc 1Journal 3Unranked 3

Year	Rank	Type	Title / Venue / Authors
2014	—	`—`	Hierarchical Convolutional Deep Learning in Computer Vision. Matthew D. Zeiler
2014	—	`conf`	Visualizing and Understanding Convolutional Networks. ECCV (1) Matthew D. Zeiler, Rob Fergus
2013	Misc	`conf`	On rectified linear units for speech processing. ICASSP 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
2013	—	`conf`	Regularization of Neural Networks using DropConnect. ICML (3) Li Wan, Matthew D. Zeiler, Sixin Zhang, Yann LeCun, Rob Fergus
2013	A*	`conf`	Stochastic Pooling for Regularization of Deep Convolutional Neural Networks ICLR Matthew D. Zeiler, Rob Fergus
2013	J	`jnl`	Visualizing and Understanding Convolutional Networks. CoRR Matthew D. Zeiler, Rob Fergus
2012	J	`jnl`	ADADELTA: An Adaptive Learning Rate Method CoRR Matthew D. Zeiler
2012	J	`jnl`	Differentiable Pooling for Hierarchical Feature Learning CoRR Matthew D. Zeiler, Rob Fergus
2011	A*	`conf`	Adaptive deconvolutional networks for mid and high level feature learning. ICCV Matthew D. Zeiler, Graham W. Taylor, Rob Fergus
2011	—	`conf`	Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines. NIPS Matthew D. Zeiler, Graham W. Taylor, Leonid Sigal, Iain A. Matthews, Rob Fergus
2010	A*	`conf`	Deconvolutional networks. CVPR Matthew D. Zeiler, Dilip Krishnan, Graham W. Taylor, Robert Fergus
2009	B	`conf`	Modeling pigeon behavior using a Conditional Restricted Boltzmann Machine. ESANN Matthew D. Zeiler, Graham W. Taylor, Nikolaus F. Troje, Geoffrey E. Hinton