wqi / papers

Short Summaries of Deep Learning Papers

Paper Summaries

This repo contains short summaries of papers I've been reading, primarily at the intersection of deep learning and computer vision. If you find this content helpful, please consider leaving a star so future readers can benefit as well!

• Added 6/2018:

  • SoundNet: Learning Sound Representations from Unlabeled Video (Aytar, 2016)
  • Dynamic Memory Networks for Visual and Textual Question Answering (Xiong, 2016)
  • Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books (Zhu, 2015)
  • Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks (Zhu, 2017)
  • Dense-Captioning Events in Videos (Krishna, 2017)
  • Grounding of Textual Phrases in Images by Reconstruction (Rohrbach, 2015)
  • Deep Compositional Question Answering with Neural Module Networks (Andreas, 2015)
  • StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks (Zhang, 2016)
  • Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning (Das, 2017)

• Added 2/2018:

  • Towards Diverse and Natural Image Descriptions via a Conditional GAN (Dai, 2017)

• Added 11/2017:

  • Don't Decay The Learning Rate, Increase The Batch Size (Smith, 2017)

• Added 10/2017:

  • Understanding How Image Quality Affects Deep Neural Networks (Dodge, 2016)
  • Perceptual Losses for Real-Time Style Transfer and Super-Resolution (Johnson, 2016)