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 distill.pub
Open Questions about Generative Adversarial Networks
| | dennybritz.com
Deep Learning ideas that have stood the test of time ยท Denny's Blog
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| | Deep Learning is such a fast-moving field and the huge number of research papers and ideas can be overwhelming.
| | colinraffel.com
GANs and Divergence Minimization
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| | resources.paperdigest.org
Most Influential NIPS Papers (2021-08) - Resources | Paper Digest
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| | The Conference on Neural Information Processing Systems (NIPS) is one of the top machine learning conferences in the world. Paper Digest Team analyze all papers published on NIPS in the past years, and presents the 15 most influential papers for each year. This ranking list is automatically construc
| | vxlabs.com
Variational Autoencoder in PyTorch, commented and annotated. - vxlabs
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| I have recently become fascinated with (Variational) Autoencoders and with PyTorch. Kevin Frans has a beautiful blog post online explaining variational autoencoders, with examples in TensorFlow and, importantly, with cat pictures. Jaan Altosaar's blog post takes an even deeper look at VAEs from both the deep learning perspective and the perspective of graphical models. Both of these posts, as well as Diederik Kingma's original 2014 paper Auto-Encoding Variational Bayes, are more than worth your time.