/awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

Awesome Deep learning papers and other resources

A list of recent papers regarding deep learning and deep reinforcement learning. They are sorted by time to see the recent papers first. I will renew the recent papers and add notes to these papers.

You should find the papers and software with star flag are more important or popular.

Table of Contents

Papers

Model Zoo

  • 2012 | AlexNet: ImageNet Classification with Deep Convolutional Neural Networks. pdf code
  • 2013 | RCNN: Rich feature hierarchies for accurate object detection and semantic segmentation. arxiv code
  • 2014 | CGNA: Conditional Generative Adversarial Nets. arxiv code
  • 2014 | DeepFaceVariant: Deep Learning Face Representation from Predicting 10,000 Classes. pdf code
  • 2014 | GAN: Generative Adversarial Networks. arxiv code
  • 2014 | GoogLeNet: Going Deeper with Convolutions. pdf code
  • 2014 | OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks. arxiv code
  • 2014 | SPPNet: Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition. arxiv code
  • 2014 | VAE: Semi-Supervised Learning with Deep Generative Models. arxiv code
  • 2014 | VGGNet: Very Deep Convolutional Networks for Large-Scale Image Recognition. arxiv code
  • 2015 | DCGAN: Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. arxiv code
  • 2015 | DRAW: A Recurrent Neural Network For Image Generation. arxiv code
  • 2015 | Global And Local Attention: Effective Approaches to Attention-based Neural Machine Translation. arxiv code
  • 2015 | FaceNet: A Unified Embedding for Face Recognition and Clustering. arxiv code
  • 2015 | Fast R-CNN. arxiv code
  • 2015 | Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. arxiv code
  • 2015 | FCNT: Visual Tracking with Fully Convolutional Networks. pdf code
  • 2015 | Inception V3: Rethinking the Inception Architecture for Computer Vision. arxiv code
  • 2015 | LAPGAN: Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks. arxiv code
  • 2015 | NeuralGPU: Neural GPUs Learn Algorithms. arxiv code
  • 2015 | Pointer Networks. arxiv code
  • 2015 | ResNet: Identity Mappings in Deep Residual Networks. arxiv arxiv2, arxiv3 code
  • 2015 | Skip-Thought Vectors. pdf code
  • 2015 | Transformer: Spatial Transformer Networks. arxiv code
  • 2016 | Domain Separation Networks. arxiv code
  • 2016 | Dp_sgd: Deep Learning with Differential Privacy. arxiv code
  • 2016 | EnergyGAN: Energy-based Generative Adversarial Network. arxiv code
  • 2016 | Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization. arxiv code
  • 2016 | Im2txt: Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge. arxiv code
  • 2016 | InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets. arxiv code
  • 2016 | Multiple_teachers: Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data. arxiv code
  • 2016 | Neural Programmer: Learning a Natural Language Interface with Neural Programmer. arxiv code
  • 2016 | PixelCNN: Conditional Image Generation with PixelCNN Decoders. arxiv code
  • 2016 | Pix2Pix: Image-to-Image Translation with Conditional Adversarial Networks. arxiv code
  • 2016 | PVANet: Lightweight Deep Neural Networks for Real-time Object Detection. arxiv code
  • 2016 | R-FCN: Object Detection via Region-based Fully Convolutional Networks. arxiv code
  • 2016 | SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient. arxiv code
  • 2016 | SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size. arxiv code
  • 2016 | StreetView Tensorflow Recurrent End-to-End Transcription (STREET) Model. arxiv code
  • 2016 | Swivel: Improving Embeddings by Noticing What's Missing. arxiv code
  • 2016 | SyntaxNet: Globally Normalized Transition-Based Neural Networks. arxiv code
  • 2016 | Textsum: Sequence-to-Sequence with Attention Model for Text Summarization. pdf code
  • 2016 | VGNA: Generative Adversarial Networks as Variational Training of Energy Based Models. arxiv code
  • 2017 | Learning to Remember Rare Events. pdf code
  • 2017 | LFADS - Latent Factor Analysis via Dynamical Systems. arxiv code
  • 2017 | SalGAN: Visual Saliency Prediction with Generative Adversarial Networks. arxiv code
  • 2017 | WGAN: Wasserstein GAN. arxiv code
  • 2017 | BEGAN: Boundary Equilibrium Generative Adversarial Networks. arxiv code

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