A text file collecting interesting papers
- May 2016, Adversarial Autoencoders https://arxiv.org/pdf/1511.05644.pdf
- Jun 2016, Improved Techniques for Training GANs https://arxiv.org/pdf/1606.03498v1.pdf
- Nov 2015, How (not) to train your generative model: scheduled sampling, likelihood, adversary?
- Feb 2016, Pixel Recurrent Neural Networks
- Mar 2016, Generative Image Modeling using Styles and Structure Adversarial Networks
- Jun 2016, Coupled Generative Adversarial Networks
- Jun 2016, Tutorial on Variational Autoencoder
- Feb 2016, Discriminative Regularization for Generative Models
- May 2016, Generating images with recurrent adversarial networks
- Jun 2016, InfoGAN: Interpretatble Representation Learning by Information Maximizing Generative Adversarial Nets
- Jan 2016, Unsupervised Learning of Visual Structure using Predictive Generative Networks
- 2013, Fast Image Super-resolution based on Inplace Example Regression
- May 2016, Compression Artifacts Removal Using Convolutional Neural Networks
- Jun 2015, Image Super-resolution using Deep Convolutional Networks
- Aug 2016, Full Resolution Image Compression with Recurrent Neural Networks
- Sep 2015, Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
- Sep 2015, DeepSat - A Learning Framework for Satellite Imagery
- 2015, A Deep Hybrid Model for Weather Forecasting
- 2010, Learning to Detect Roads in High-resolution Aerial Images
- Feb 2016, *Automatic Building Extraction in Aerial Scenes Using Convolutional Networks
- CONTEXTUAL DEEP CNN BASED HYPERSPECTRAL CLASSIFICATION
- 2015, Deep Convolutional Neural Networks for Hyperspectral Image Classification
- 2016, Deep Learning for Remote Sensing Data
- Feb 2016, Visual descriptors for content-based retrieval of remote sensing images
- Feb 2016, Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping
- Jun 2015, Deep Convolutional Inverse Graphics Network
- May 2016, Exploiting Cyclic Symmetry in Convolutional Neural Networks
- Apr 2016, Multi-scale Context Aggregation by Dilated Convolutions
- Feb 2016, Exploiting Local Structures with the Kronecker Layer in Convolutional Networks
- Jun 2016, Matching Networks for One Shot Learning https://arxiv.org/abs/1606.04080
- 2008, A fast learning algorithm for deep belief nets
- Jun 2016, Tagger: Deep Unsupervised Perceptual Grouping
- Hyperspectral Remote Sensing Scenes (hyper-spectral, low res) https://www.ehu.eus/ccwintco/index.php?title=Hyperspectral_Remote_Sensing_Scenes
- AVIRIS Data https://aviris.jpl.nasa.gov/data/grad_research.html
- StratMap Houston 2013 1ft NC\CIR https://tnris.org/data-catalog/entry/stratmap-houston-2013-1ft-nc-cir/
- California State provided by PlanetLabs