Table of Contents



GANs

  1. Lists of Papers:
    1. Awesome DL-Papers
    2. Adversarial Nets Papers
    3. really-awesome-gan
    4. Tha GAN ZOO
    5. Tha GAN ZOO
    6. Delving Deep into GANs
  2. Improving Training:
    1. Improved Techniques for Training GANs
    2. Improved Training of Wasserstein GANs
    3. WGAN
    4. Progressive Growing of GANs for Improved Quality, Stability, and Variation
  3. GAN Architectures:
    1. Adversarial Autoencoders
  4. Improving GANs (Theory):
    1. InfoGAN
    2. Conditional GANs | cGANs
  5. Theory:
  6. Code:
    1. improved_wgan_training
    2. Progressive Growing of GANs
    3. Implementation of different GAN architectures
    4. Fantastic GANs and where to find them
    5. Fantastic GANs and where to find them II

RNNs


Maths


Statistics


Optimization


Machine Learning


Computer Vision


NLP

:   * __Speech Recognition__:  
        
        1. [Human parity in speech recognition (xiong et al. 2016)]()
        2. [Deep Learning for Speech (Deng et al.)]()
:   * __Timeline papers__:  
        1. [Graves &Jaitley (Tpwards End to End Speech Recog. with Neural Nets)](/)
        2. [Maas et al. (Lexicon Free Conversational Speech Recog. with Neural Nets)]()  
        3. [Chan et al. (LAS)](/)

Physics


Medical-NLP

:   1. [Classifying medical notes into standard disease codes](https://arxiv.org/pdf/1802.00382v1.pdf)  

Misc.