10 lines
1.6 KiB
Markdown
10 lines
1.6 KiB
Markdown
This section of our repository holds reviews of research papers that we think everyone in the field should read and understand. It currently includes:
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1. [DRAW: A Recurrent Neural Network For Image Generation](https://github.com/tensorflow/magenta/blob/master/magenta/reviews/draw.md) by Gregor et al. (Review by Tim Cooijmans)
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2. [Generating Sequences with Recurrent Neural Networks](https://github.com/tensorflow/magenta/blob/master/magenta/reviews/summary_generation_sequences.md) by Graves. (Review by David Ha)
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3. [A Neural Algorithm of Artistic Style](https://github.com/tensorflow/magenta/blob/master/magenta/reviews/styletransfer.md) by Gatys et al. (Review by Cinjon Resnick)
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4. [Pixel Recurrent Neural Networks](https://github.com/tensorflow/magenta/blob/master/magenta/reviews/pixelrnn.md) by Van den Oord et al. (Review by Kyle Kastner)
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5. [Generative Adversarial Networks](https://github.com/tensorflow/magenta/blob/master/magenta/reviews/GAN.md) by Goodfellow et al. (Review by Max Strakhov)
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6. [Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription](https://github.com/tensorflow/magenta/blob/master/magenta/reviews/rnnrbm.md) by Boulanger-Lewandowski et al. (Review by Dan Shiebler)
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There are certainly many other papers and resources that belong here. We want this to be a community endeavor and encourage high-quality summaries, both in terms of reviews and selection. So if you have a favorite, please file an issue saying which paper you want to write about. After we approve the topic, submit a pull request and we’ll be delighted to showcase your work. |