Mihaela Grigore
  • 👋About
  • 👩‍🏭Personal projects
    • Computer Vision | Deep Learning with Tensorflow & Keras (ResNet50, GPU training)
    • Computer Vision | Convolutional Neural Networks with PyTorch
    • Computer Vision | Facial Recognition with Keras, FaceNet, Inception, Siamese Networks
    • NLP | Topic modeling on tweets
    • NLP | Sentiment analysis of tweets: TextBlob, VADER and Flair
    • Time series | Exploration on Crypto price dataset
    • Data scraping | Social Media Scraping: Twitter Developer API for Academics
    • Data Scraping | Collecting historical tweets without Twitter API
  • ✍️Notes
    • Machine Learning in Production
      • Feature transforms
      • Feature selection
      • Data journey
    • NLP
      • Information Retrieval
    • Computer Vision
    • Time series
      • Stationarity
    • Data
      • Labeling
    • Python
      • ndarray slicing with index out of bounds
  • 📚Readings & other media
    • Computer Vision
      • Selection of research articles
    • NLP
      • Handwriting Text
      • Information Retrieval
      • Mono- / multilingual
      • Topic Modeling
      • Language Models
    • Time Series
    • Generative Adversarial Netoworks (GAN)
    • Python
      • Python basics
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  1. 📚Readings & other media

Generative Adversarial Netoworks (GAN)

  • Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. Generative adversarial nets. In Advances in neural information processing systems, pages 2672–2680, 2014. -> the 'vanilla' GAN paper

  • Andrew Brock, Jeff Donahue, and Karen Simonyan. Large scale gan training for high fidelity natural image synthesis. arXiv preprint arXiv:1809.11096, 2018. -> BigGAN architecture; which also inspired Alonso et al 2018 for their text generation GAN (see my section on HTG readings here)

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Last updated 3 years ago