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Matthew Zeiler
Matthew Zeiler
Founder and CEO, Clarifai
Verified email at cs.nyu.edu - Homepage
Title
Cited by
Cited by
Year
Visualizing and understanding convolutional networks
MD Zeiler, R Fergus
European conference on computer vision, 818-833, 2014
159982014
Adadelta: an adaptive learning rate method
MD Zeiler
arXiv preprint arXiv:1212.5701, 2012
69082012
Regularization of neural networks using dropconnect
L Wan, M Zeiler, S Zhang, Y Le Cun, R Fergus
International conference on machine learning, 1058-1066, 2013
26792013
Deconvolutional networks
MD Zeiler, D Krishnan, GW Taylor, R Fergus
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on …, 2010
17632010
Adaptive deconvolutional networks for mid and high level feature learning
MD Zeiler, GW Taylor, R Fergus
2011 international conference on computer vision, 2018-2025, 2011
14042011
Stochastic pooling for regularization of deep convolutional neural networks
MD Zeiler, R Fergus
arXiv preprint arXiv:1301.3557, 2013
11262013
On rectified linear units for speech processing
MD Zeiler, M Ranzato, R Monga, M Mao, K Yang, QV Le, P Nguyen, ...
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
6292013
Adadelta: An adaptive learning rate method. arXiv 2012
MD Zeiler
arXiv preprint arXiv:1212.5701 1212, 2012
1732012
Computer vision–ECCV 2014
MD Zeiler, R Fergus, D Fleet, T Pajdla, B Schiele, T Tuytelaars
Lecture Notes in Computer Science 8689, 818-833, 2014
1192014
ADADELTA: an adaptive learning rate method. arXiv
MD Zeiler
arXiv preprint arXiv:1212.5701 22, 2012
1162012
European conference on computer vision
MD Zeiler, R Fergus
Visualizing and understanding convolutional networks, 818-833, 2014
1072014
Hierarchical convolutional deep learning in computer vision
MD Zeiler
New York University, 2013
822013
Visualizing and understanding convolutional networks (2013)
MD Zeiler, R Fergus
arXiv preprint arXiv:1311.2901, 2013
662013
FERGUSR
MD Zeiler
VisualizingandunderstandingconvG olutionalnetworks, 2014
572014
Facial expression transfer with input-output temporal restricted boltzmann machines
M Zeiler, GW Taylor, L Sigal, I Matthews, R Fergus
Advances in neural information processing systems 24, 2011
422011
Stochastic pooling for regularization of deep convolutional neural networks. arXiv
MD Zeiler, R Fergus
arXiv preprint arXiv:1301.3557, 2013
212013
Modeling pigeon behavior using a Conditional Restricted Boltzmann Machine.
MD Zeiler, GW Taylor, NF Troje, GE Hinton
ESANN, 2009
212009
Differentiable pooling for hierarchical feature learning
MD Zeiler, R Fergus
arXiv preprint arXiv:1207.0151, 2012
152012
Proceedings of the 30th International Conference on Machine Learning (ICML-13)
L Wan, M Zeiler, S Zhang, YL Cun, R Fergus
JMLR Workshop and Conference Proceedings, 2013
102013
Learning image decompositions with hierarchical sparse coding
M Zeiler, R Fergus
Tech. Rep. TR2010-935, 2010
92010
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