https://www.youtube.com/watch?v=SGZ6BttHMPw&list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH
- Very cool introduction to variational autoencoders: https://jaan.io/what-is-variational-autoencoder-vae/
- http://www.inference.vc/probabilistic-models-and-autoencoders-my-new-favourite-papers/
- http://dustintran.com/blog/variational-auto-encoders-do-not-train-complex-generative-models
- http://blog.evjang.com/2016/11/tutorial-categorical-variational.html
- http://blog.shakirm.com/2015/03/a-statistical-view-of-deep-learning-ii-auto-encoders-and-free-energy/
- Generating sequences from variational autoencoder by Bowman et al.: https://arxiv.org/pdf/1511.06349.pdf
- Neural Variational Inference for Text Processing: https://arxiv.org/pdf/1511.06038.pdf
- Tutorial on variational autoencoder: https://arxiv.org/abs/1606.05908
- Variational recurrent autoencoder by Fabius: https://arxiv.org/pdf/1412.6581.pdf
- Categorical variational autoencoder by Eric jang: https://arxiv.org/pdf/1611.01144v2.pdf
- Tutorial on Generative Adversial Networks: https://arxiv.org/abs/1701.00160 by Ian Goodfellow
- Why GANs do not work for text? https://www.reddit.com/r/MachineLearning/comments/40ldq6/generative_adversarial_networks_for_text/
- Extracting Speaker-Specific Information with a Regularized Siamese Deep Network https://papers.nips.cc/paper/4314-extracting-speaker-specific-information-with-a-regularized-siamese-deep-network.pdf
- Gated Autoencoders with Tied Input Weights http://www.jmlr.org/proceedings/papers/v28/alain13.pdf
- Generalized Autoencoder: A Neural Network Framework for Dimensionality Reduction https://pdfs.semanticscholar.org/614a/12f556c3186d375ace550ee3ef02e0ec2c9a.pdf
- Learning Text Pair Similarity with Context-sensitive Autoencoders: http://www.umiacs.umd.edu/~hadi/papers/amiri-acl-16.pdf
- Makhzani et al. 2016: https://arxiv.org/abs/1511.05644