Fetching the paper…
Reading the bibliography…
Deep learning (DL) has achieved notable successes in many machine learning tasks.
Learning internal representations by error propagation
1985
Earlier work this paper cites.
Learning Multiple Layers of Features from Tiny Images
2009
Earlier work this paper cites.
Theano: Deep Learning on GPUs with Python
2011
Earlier work this paper cites.
Torch7: A Matlab-like Environment for Machine Learning
2011
Earlier work this paper cites.
Large Scale Distributed Deep Networks
2012
Earlier work this paper cites.
ImageNet Classification with Deep Convolutional Neural Networks
2012
Earlier work this paper cites.
Building High-level Features Using Large Scale Unsupervised Learning
2012
Earlier work this paper cites.
Deep Learning with COTS HPC Systems
2013
Earlier work this paper cites.
Recent Advances in Deep Learning for Speech Research at Microsoft
2013
Earlier work this paper cites.
More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server
2013
Cited alongside, same era.
Stronger Semantics for Low-Latency Geo-Replicated Storage
2013
Cited alongside, same era.
Efficient Estimation of Word Representations in Vector Space
2013
Cited alongside, same era.
Project Adam: Building an Efficient and Scalable Deep Learning Training System
2014
Cited alongside, same era.
Caffe: Convolutional Architecture for Fast Feature Embedding
2014
Cited alongside, same era.
One Weird Trick for Parallelizing Convolutional Neural Networks
2014
Cited alongside, same era.
Batch normalization: Accelerating deep network training by reducing internal covariate shift
2015
Closest in time.
Sparknet: Training deep networks in spark
2015
Closest in time.
ImageNet Large Scale Visual Recognition Challenge
2015
Closest in time.
Very Deep Convolutional Networks for Large-Scale Image Recognition
2015
Closest in time.
Going deeper with convolutions
2015
Closest in time.
Fast Convolutional Nets With fbfft: A GPU Performance Evaluation
2015
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Multi-GPU Training of ConvNets
2014
Cited alongside, same era.
Mariana: Tencent Deep Learning Platform and its Applications
2014
Cited alongside, same era.
Analysis of high-performance distributed ml at scale through parameter server consistency models
2015
Cited alongside, same era.
https://github.com/facebook/fbcunn
Cited in the paper.
Fugue: Slow-worker-agnostic distributed learning for big models on big data
Cited in the paper.
http://mxnet.readthedocs.org/
Cited in the paper.
Managed Communication and Consistency for Fast Data-parallel Iterative Analytics
2015
Closest in time.
Distributed Machine Learning via Sufficient Factor Broadcasting
2015
Closest in time.
Petuum: A New Platform for Distributed Machine Learning on Big Data
2015
Closest in time.