deep_chronicle

A text file collecting interesting papers

Generative Nets

1. May 2016, Adversarial Autoencoders http://arxiv.org/pdf/1511.05644.pdf
2. Jun 2016, Improved Techniques for Training GANs https://arxiv.org/pdf/1606.03498v1.pdf
3. Nov 2015, How (not) to train your generative model: scheduled sampling, likelihood, adversary?
4. Feb 2016, Pixel Recurrent Neural Networks
5. Mar 2016, Generative Image Modeling using Styles and Structure Adversarial Networks
6. Jun 2016, Coupled Generative Adversarial Networks
7. Jun 2016, Tutorial on Variational Autoencoder
8. Feb 2016, Discriminative Regularization for Generative Models
9. May 2016, Generating images with recurrent adversarial networks
10. Jun 2016, InfoGAN: Interpretatble Representation Learning by Information Maximizing Generative Adversarial Nets
11. Jan 2016, Unsupervised Learning of Visual Structure using Predictive Generative Networks

Superresolution

1. 2013, Fast Image Super-resolution based on Inplace Example Regression
2. May 2016, Compression Artifacts Removal Using Convolutional Neural Networks
3. Jun 2015, Image Super-resolution using Deep Convolutional Networks
4. Aug 2016, Full Resolution Image Compression with Recurrent Neural Networks

Deep Learning for Remote Sensing Imagery

1. Sep 2015, Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
2. Sep 2015, DeepSat - A Learning Framework for Satellite Imagery
3. 2015, A Deep Hybrid Model for Weather Forecasting
4. 2010, Learning to Detect Roads in High-resolution Aerial Images
5. Feb 2016, *Automatic Building Extraction in Aerial Scenes Using Convolutional Networks
6. CONTEXTUAL DEEP CNN BASED HYPERSPECTRAL CLASSIFICATION
7. 2015, Deep Convolutional Neural Networks for Hyperspectral Image Classification
8. 2016, Deep Learning for Remote Sensing Data
9. Feb 2016, Visual descriptors for content-based retrieval of remote sensing images
10. Feb 2016, Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping

General Topics of Convolutional Networks

1. Jun 2015, Deep Convolutional Inverse Graphics Network
2. May 2016, Exploiting Cyclic Symmetry in Convolutional Neural Networks
3. Apr 2016, Multi-scale Context Aggregation by Dilated Convolutions
4. Feb 2016, Exploiting Local Structures with the Kronecker Layer in Convolutional Networks

Beyond Supervision

1. Jun 2016, Matching Networks for One Shot Learning https://arxiv.org/abs/1606.04080
2. 2008, A fast learning algorithm for deep belief nets
3. Jun 2016, Tagger: Deep Unsupervised Perceptual Grouping

Remote Sensing Datasets

1. Hyperspectral Remote Sensing Scenes (hyper-spectral, low res) http://www.ehu.eus/ccwintco/index.php?title=Hyperspectral_Remote_Sensing_Scenes
2. AVIRIS Data http://aviris.jpl.nasa.gov/data/grad_research.html
3. StratMap Houston 2013 1ft NC\CIR https://tnris.org/data-catalog/entry/stratmap-houston-2013-1ft-nc-cir/
4. California State provided by PlanetLabs