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DeepLearning History Papers
curl -o "2001 - Kaufhold - Energy Formulations of Medical Image Segmentations.pdf"
curl -o "2004 - Lowe - Distinctive Image Features from Scale-Invariant Keypoints.pdf"
curl -o "2006 - Caruana - An Emperical Comparison of Supervised Learning Algorithms.pdf"
curl -o "2006 - Hinton - A fast learning algorithm for deep belief nets.pdf"
curl -o "2008 - Caruana - An empirical comparison of supervised learning algorithms in high dimensions.pdf"
curl -o "2009 - Lee - Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations.pdf"
curl -o "2009 - Salakhutdinov - Deep Boltzmann Machines.pdf"
curl -o "2009 - Bengio - Learning Deep Architectures for AI.pdf"
curl -o "2010 - hinton - A Practical Guide to Traning Restricted Boltzmann Machines.pdf"
curl -o "2010 - Vincent - Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoting Criterion.pdf"
curl -o "2011 - Le - On Optimization Methods for Deep Learning.pdf"
curl -o "2012 - LeCun - Learning Hierarchies of Invariant Features.pdf"
curl -o "2012 - Hinton - Improving neural networks by preventing co-adaptation of feature detectors.pdf"
curl -o "2012 - Ng - Neural Networks: Representation.pdf"
curl -o "2012 - Le - Building High-level Features Using Large Scale Unsupervised Learning.pdf"
curl -o "2013 - Wan - Regularization of Neural Networks using DropConnect.pdf"
curl -o "2013 - Cotes - Deep learning with COTS HPC systems.pdf"
curl -o "2013 - Salakhutdinov - Deep Learning.pdf"
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