Disentangling Factors of Variations Using Few Labels
By Francesco Locatello, Michael Tschannen, Stefan Bauer, Gunnar Rätsch, Bernhard Schölkopf, Olivier Bachem. 2020
80 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Francesco Locatello
- Michael Tschannen
- Olivier Bachem
- Bernhard Schölkopf
- Ben Poole
- Gunnar Rätsch
- Yoshua Bengio
- Muhammad Waleed Gondal
Citations in the corpus
- Weakly-Supervised Disentanglement Without Compromises (2020, background): “…representations with small weakly-supervised reconstruction loss (the sum of the first two terms in (6)) achieve improved downstream performance (Locatello et al., 2019b; 2020), improved downstream generalization (Peters et al., 2017) under covariate shifts (Shimodaira, 2000; Quionero-Candela…”
- On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset (2019, background): “[39] Francesco Locatello, Michael Tschannen, Stefan Bauer, Gunnar Rätsch, Bernhard Schölkopf, and Olivier Bachem.”