Large Scale Distributed Deep Networks

ImageNet: A large-scale hierarchical image database

2009 • 52,855 citations

Learning Multiple Layers of Features from Tiny Images

2009 • 23,956 citations

MapReduce

2008 • 18,382 citations

Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

2011 • 8,588 citations

A unified architecture for natural language processing

2008 • 5,201 citations

Multi-column deep neural networks for image classification

2012 • 3,561 citations

Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

2011 • 3,036 citations

An analysis of single-layer networks in unsupervised feature learning

2011 • 2,434 citations

Deep Neural Networks for Acoustic Modeling in Speech Recognition

2012 • 1,957 citations

Distributed GraphLab

2012 • 1,662 citations

Building high-level features using large scale unsupervised learning

2013 • 1,560 citations

Efficient BackProp

1998 • 1,508 citations

HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent

2011 • 1,286 citations

Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent

2011 • 1,116 citations

Parallelized Stochastic Gradient Descent

2010 • 1,111 citations

Deep, Big, Simple Neural Nets for Handwritten Digit Recognition

2010 • 1,043 citations

On optimization methods for deep learning

2011 • 808 citations

Deep learning via Hessian-free optimization

2010 • 755 citations

Improving the speed of neural networks on CPUs

2011 • 710 citations

Building high-level features using large scale unsupervised learning

2012 • 688 citations

Large-scale deep unsupervised learning using graphics processors

2009 • 672 citations

Stochastic Gradient Learning in Neural Networks

1991 • 578 citations

Distributed Delayed Stochastic Optimization

2011 • 289 citations

Distributed Training Strategies for the Structured Perceptron

2010 • 268 citations

A Reliable Effective Terascale Linear Learning System

2011 • 243 citations

Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models

2009 • 236 citations

Slow Learners are Fast

2009 • 218 citations

Distributed GraphLab: A Framework for Machine Learning in the Cloud

2012 • 210 citations

Scalable stacking and learning for building deep architectures

2012 • 210 citations

Building high-level features using large scale unsupervised learning

2011 • 185 citations

A scalable modular convex solver for regularized risk minimization

2007 • 181 citations

Slow Learners are Fast

2009 • 168 citations