Skip to content

Instantly share code, notes, and snippets.

@sio2boss
Last active July 17, 2018 00:53
Show Gist options
  • Save sio2boss/577c661fd40ac0f7fb64 to your computer and use it in GitHub Desktop.
Save sio2boss/577c661fd40ac0f7fb64 to your computer and use it in GitHub Desktop.
DeepLearning History Papers
#!/bin/sh
curl -o "2001 - Kaufhold - Energy Formulations of Medical Image Segmentations.pdf" http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.43.635&rep=rep1&type=pdf
curl -o "2004 - Lowe - Distinctive Image Features from Scale-Invariant Keypoints.pdf" http://www.cs.berkeley.edu/~malik/cs294/lowe-ijcv04.pdf
curl -o "2006 - Caruana - An Emperical Comparison of Supervised Learning Algorithms.pdf" https://www.cs.cornell.edu/~caruana/ctp/ct.papers/caruana.icml06.pdf
curl -o "2006 - Hinton - A fast learning algorithm for deep belief nets.pdf" https://www.cs.toronto.edu/~hinton/absps/fastnc.pdf
curl -o "2008 - Caruana - An empirical comparison of supervised learning algorithms in high dimensions.pdf" http://lowrank.net/nikos/pubs/empirical.pdf
curl -o "2009 - Lee - Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations.pdf" http://www.cs.toronto.edu/~rgrosse/icml09-cdbn.pdf
curl -o "2009 - Salakhutdinov - Deep Boltzmann Machines.pdf" http://machinelearning.wustl.edu/mlpapers/paper_files/AISTATS09_SalakhutdinovH.pdf
curl -o "2009 - Bengio - Learning Deep Architectures for AI.pdf" http://www.iro.umontreal.ca/~bengioy/papers/ftml.pdf
curl -o "2010 - hinton - A Practical Guide to Traning Restricted Boltzmann Machines.pdf" https://www.cs.toronto.edu/~hinton/absps/guideTR.pdf
curl -o "2010 - Vincent - Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoting Criterion.pdf" http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.297.3484&rep=rep1&type=pdf
curl -o "2011 - Le - On Optimization Methods for Deep Learning.pdf" http://machinelearning.wustl.edu/mlpapers/paper_files/ICML2011Le_210.pdf
curl -o "2012 - LeCun - Learning Hierarchies of Invariant Features.pdf" http://helper.ipam.ucla.edu/publications/gss2012/gss2012_10739.pdf
curl -o "2012 - Hinton - Improving neural networks by preventing co-adaptation of feature detectors.pdf" http://arxiv.org/pdf/1207.0580.pdf
curl -o "2012 - Ng - Neural Networks: Representation.pdf" http://helper.ipam.ucla.edu/publications/gss2012/gss2012_10740.pdf
curl -o "2012 - Le - Building High-level Features Using Large Scale Unsupervised Learning.pdf" http://static.googleusercontent.com/media/research.google.com/en//archive/unsupervised_icml2012.pdf
curl -o "2013 - Wan - Regularization of Neural Networks using DropConnect.pdf" http://www.matthewzeiler.com/pubs/icml2013/icml2013.pdf
curl -o "2013 - Cotes - Deep learning with COTS HPC systems.pdf" http://www.cs.stanford.edu/~acoates/papers/CoatesHuvalWangWuNgCatanzaro_icml2013.pdf
curl -o "2013 - Salakhutdinov - Deep Learning.pdf" http://www.cs.toronto.edu/~rsalakhu/ISBI1_pdf_version.pdf
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment