Be More Active! Understanding the Differences between Mean and Sampled Representations of Variational Autoencoders

26 September 2021

Papers citing "Be More Active! Understanding the Differences between Mean and Sampled Representations of Variational Autoencoders"

5 / 5 papers shown

Title
How good are variational autoencoders at transfer learning? Lisa Bonheme M. Grzes OOD DRL 23 2 0 21 Apr 2023
Break The Spell Of Total Correlation In betaTCVAE Zihao Chen Qiang Li Bing Guo CML DRL 20 1 0 17 Oct 2022
FONDUE: an algorithm to find the optimal dimensionality of the latent representations of variational autoencoders Lisa Bonheme M. Grzes DRL 28 6 0 26 Sep 2022
How do Variational Autoencoders Learn? Insights from Representational Similarity Lisa Bonheme M. Grzes CoGe SSL DRL 27 10 0 17 May 2022
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 184 313 0 07 Feb 2020