2017-06

• Self-Normalizing Neural Networks
  • summary
  • code
  • arXiV

2017-05

• Neural Machine Translation and Sequence-to-sequence Models: A Tutorial
  • arXiV

2017-03

• Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
  • arXiV
• Image-to-Image Translation with Conditional Adversarial Networks
  • arXiv
• Generative Adversarial Nets
  • arXiv
• Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
  • arXiv

2017-01

• Generating Focussed Molecule Libraries for Drug Discovery with Recurrent Neural Networks
  • arXiv
• Automatic Chemical Design using a Data-Driven Continuous Representation of Molecules
  • arXiv
• Generating Sequences from a Continuous Space
  • arXiv

2016-12

• Language Modeling with Gated Convolutional Networks
  • summary (coming soon)
  • arXiv
• Spatial Transformer Networks
  • summary (coming soon)
  • arXiv
• Perceptual Losses for Real-Time Style Transfer and Super-Resolution
  • summary (coming soon)
  • arXiv

2016-11

• Neural Machine Translation in Linear Time
  • summary
  • arXiv

2016-10

• A Neural Algorithm of Artistic Style
  • summary
  • arXiv

2016-09

• On Large-Batch Training for Deep Learning
  • summary
  • arXiv
• Batch Normalization
  • summary
  • arXiv
  • Python Code (forward/backward pass)
• Dropout
  • summary
  • JMLR