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Matthew D. Zeiler
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2010 – 2019
- 2014
- [b1]Matthew D. Zeiler:
Hierarchical Convolutional Deep Learning in Computer Vision. New York University, USA, 2014 - [c8]Matthew D. Zeiler, Rob Fergus:
Visualizing and Understanding Convolutional Networks. ECCV (1) 2014: 818-833 - 2013
- [c7]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: 3517-3521 - [c6]Li Wan, Matthew D. Zeiler, Sixin Zhang, Yann LeCun, Rob Fergus:
Regularization of Neural Networks using DropConnect. ICML (3) 2013: 1058-1066 - [c5]Matthew D. Zeiler, Rob Fergus:
Stochastic Pooling for Regularization of Deep Convolutional Neural Networks. ICLR 2013 - [i3]Matthew D. Zeiler, Rob Fergus:
Visualizing and Understanding Convolutional Networks. CoRR abs/1311.2901 (2013) - 2012
- [i2]Matthew D. Zeiler, Rob Fergus:
Differentiable Pooling for Hierarchical Feature Learning. CoRR abs/1207.0151 (2012) - [i1]Matthew D. Zeiler:
ADADELTA: An Adaptive Learning Rate Method. CoRR abs/1212.5701 (2012) - 2011
- [c4]Matthew D. Zeiler, Graham W. Taylor, Rob Fergus:
Adaptive deconvolutional networks for mid and high level feature learning. ICCV 2011: 2018-2025 - [c3]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: 1629-1637 - 2010
- [c2]Matthew D. Zeiler, Dilip Krishnan, Graham W. Taylor, Robert Fergus:
Deconvolutional networks. CVPR 2010: 2528-2535
2000 – 2009
- 2009
- [c1]Matthew D. Zeiler, Graham W. Taylor, Nikolaus F. Troje, Geoffrey E. Hinton:
Modeling pigeon behavior using a Conditional Restricted Boltzmann Machine. ESANN 2009
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