| Visualizing and understanding convolutional networks MD Zeiler, R Fergus Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 23163 | 2014 |
| ADADELTA: an adaptive learning rate method MD Zeiler arXiv preprint arXiv:1212.5701, 2012 | 8736 | 2012 |
| 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 | 3381 | 2013 |
| Deconvolutional networks MD Zeiler, D Krishnan, GW Taylor, R Fergus Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on …, 2010 | 2338 | 2010 |
| 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 | 1696 | 2011 |
| Stochastic pooling for regularization of deep convolutional neural networks MD Zeiler, R Fergus arXiv preprint arXiv:1301.3557, 2013 | 1358 | 2013 |
| 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 | 753 | 2013 |
| Adadelta: An adaptive learning rate method. arXiv 2012 MD Zeiler arXiv preprint arXiv:1212.5701 1212, 2012 | 253 | 2012 |
| Adadelta: An adaptive learning rate method. arXiv MD Zeiler arXiv preprint arXiv:1212.5701 32, 8024-35, 2012 | 222 | 2012 |
| European conference on computer vision MD Zeiler, R Fergus European Conference on Computer Vision., Berlin/Heidelberg, Germany …, 2014 | 195 | 2014 |
| Computer vision–ECCV 2014 M Zeiler (No Title), 818, 2014 | 177 | 2014 |
| Hierarchical convolutional deep learning in computer vision MD Zeiler New York University, 2013 | 92 | 2013 |
| Visualizing and understanding convolutional networks. arXiv MD Zeiler, R Fergus arXiv preprint arXiv:1311.2901, 2013 | 54 | 2013 |
| ADADELTA: an adaptive learning rate method. CoRR abs/1212.5701 MD Zeiler | 51 | 2012 |
| Stochastic pooling for regularization of deep convolutional neural networks. arXiv 2013 MD Zeiler, R Fergus arXiv preprint arXiv:1301.3557, 2013 | 45 | 2013 |
| 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 | 42 | 2011 |
| Visualizing and Understanding Convolutional Networks Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) MD Zeiler, R Fergus Berlin: Springer, 2014 | 24* | 2014 |
| Modeling pigeon behavior using a Conditional Restricted Boltzmann Machine. MD Zeiler, GW Taylor, NF Troje, GE Hinton ESANN, 2009 | 23 | 2009 |
| Proceedings of the 30th international conference on machine learning (ICML-13) L Wan, M Zeiler, S Zhang, Y LeCun, R Fergus JMLR, 2013 | 22 | 2013 |
| Differentiable pooling for hierarchical feature learning MD Zeiler, R Fergus arXiv preprint arXiv:1207.0151, 2012 | 18 | 2012 |
Rob FergusResearch Scientist, DeepMind. Professor of Computer Science, New York UniversityVerified email at cs.nyu.edu
