VAEs
Collections of VAEs
- Disentanglement Representations
- Variational Inference. Find the bound to be close to the real postrior distribution.
- Dimensionality Reduction
- Not MLE, Choose Adversarial training procedure(Implicit Variational Inference). Reference: BayesGroup(Russian)
- Applications
Questions:
- What is Amortized Variational inference? Reference: http://wilkeraziz.github.io/slides/24-05-2018-uedin-dgm-vae.pdf Page26-32
- Objectie Function of VAE: http://wilkeraziz.github.io/slides/24-05-2018-uedin-dgm-vae.pdf Page 25 (TBD)
A Deep Learning Approach to Data Compression
- https://github.com/bits-back/bits-back
- https://github.com/fhkingma/bitswap
- https://arxiv.org/pdf/1905.06845.pdf
- https://arxiv.org/pdf/1901.04866.pdf
- https://openreview.net/forum?id=ryE98iR5tm
- http://tsong.me/blog/lossy-vae/
- https://postersession.ai/poster/practical-lossless-compression-with-late/
- https://bair.berkeley.edu/blog/2019/09/19/bit-swap/