Tensorflow implementations

Very simple TensorFlow Examples

• Code: https://github.com/nlintz/TensorFlow-Tutorials

Sequence to Sequence -- Video to Text

• Subhashini Venugopalan, Marcus Rohrbach, Jeff Donahue, Raymond Mooney, Trevor Darrell, Kate Saenko, arxiv, 2015
• [code]
• [paper]

Sequence to Sequence -- chatbot

• Oriol Vinyals, Quoc V. Le, arxiv, 2015
• [code]
• [paper]

Show and Tell: A Neural Image Caption Generator

• Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan, arxiv, 2015
• [code]
• [paper]

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

• Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhutdinov, Richard Zemel, Yoshua Bengio, ICLR, 2014
• [code]
• [paper]

Learning Deep Features for Discriminative Localization

• Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, Antonio Torralba, CVPR, 2016
• [code]
• [paper]

Deep Visual Analogy-Making

• Scott Reed, Yi Zhang, Yuting Zhang, Honglak Lee, NIPS, 2015
• [code]
• [paper]

Deep Convolutional Generative Adversarial Networks

• Alec Radford, Luke Metz, Soumith Chintala, arxiv, 2015
• [code]
• [paper]

End-To-End Memory Networks

• Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston, Rob Fergus, NIPS, 2015
• [code]
• [paper]

Character-Aware Neural Language Models

• Yoon Kim, Yacine Jernite, David Sontag, Alexander M. Rush, AAAI, 2016
• [code]
• [paper]

Deep Reinforcement Learning

• Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, Martin Riedmiller, NIPS, 2013
• [code]
• [paper]

Using Deep Q-Network to Learn How To Play Flappy Bird

• Kevin Chen, Deep Reinforcement Learning for Flappy Bird, Report from http://cs229.stanford.edu/ 2015 project
• [code]
• [report]

Semi-Supervised Learning with Ladder Network

• A Rasmus, H Valpola, M Honkala, M Berglund, and T Raiko, NIPS, 2015
• [code]
• [paper]
• [Additional Material]