Welcome to my site

This is my personal site which plays host to my publications, videos, and some information about myself.

I work on Machine Learning and Computer Vision and recently defended my Computer Science PhD at New York University in those fields. I have since launched a company called Clarifai to bring large scale deep learning into every day use. Through Clarifai, we won the Imagenet 2013 Classification Challenge (results) and have since been making huge strides in improving accuracy, speed, and memory usage of these models.


News & Events

Recent Publications

Visualizing and Understanding Convolutional Networks
M.D. Zeiler, R. Fergus
ECCV 2014 (Honourable Mention for Best Paper Award), Arxiv 1311.2901 (Nov 28, 2013)
Abstract

Hierarchical Convolutional Deep Learning in Computer Vision
M.D. Zeiler. Advisor: R. Fergus
Unpublished PhD Thesis (Nov 8, 2013)
Abstract

Regularization of Neural Networks using DropConnect
L. Wan, M.D. Zeiler, S. Zhang, Y. LeCun, R. Fergus
ICML 2013 (June 16, 2013)
Abstract

On Recified Linear Units for Speech Processing
M.D. Zeiler, M. Ranzato, R. Monga, M. Mao, K. Yang, Q.V. Le, P. Nguyen, A. Senior, V. Vanhoucke, J. Dean, and G.E. Hinton
ICASSP 2013 (May 26, 2013)
Abstract

Stochastic Pooling for Regularization of Deep Convolutional Neural Networks
Matthew D. Zeiler and Rob Fergus
ICLR 2013 (May 2, 2013)
Supplemental Material:  Images  Videos
Abstract

ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
arXiv:1212.5701 (Dec 27, 2012)
Abstract

Differentiable Pooling for Hierarchical Feature Learning
Matthew D. Zeiler and Rob Fergus
arXiv:1207.0151v1 (July 3, 2012)
Abstract