Learning Disentangled Representations with Reference-Based Variational Autoencoders

24 January 2019

Papers citing "Learning Disentangled Representations with Reference-Based Variational Autoencoders"

7 / 7 papers shown

Title
Separating common from salient patterns with Contrastive Representation Learning Robin Louiset Edouard Duchesnay Antoine Grigis Pietro Gori SSL DRL 46 1 0 19 Feb 2024
Moment Matching Deep Contrastive Latent Variable Models Ethan Weinberger Nicasia Beebe-Wang Su-In Lee 28 16 0 21 Feb 2022
Disentangled representations: towards interpretation of sex determination from hip bone K. Zou S. Faisan F. Heitz Marie Epain P. Croisille L. Fanton S. Valette 3DH DRL 18 3 0 17 Dec 2021
NestedVAE: Isolating Common Factors via Weak Supervision M. Vowels Necati Cihan Camgöz Richard Bowden CML DRL 26 21 0 26 Feb 2020
Theory and Evaluation Metrics for Learning Disentangled Representations Kien Do T. Tran CoGe DRL 18 93 0 26 Aug 2019
DualDis: Dual-Branch Disentangling with Adversarial Learning Thomas Robert Nicolas Thome Matthieu Cord CoGe DRL 30 4 0 03 Jun 2019
Disentangling Factors of Variation Using Few Labels Francesco Locatello Michael Tschannen Stefan Bauer Gunnar Rätsch Bernhard Schölkopf Olivier Bachem DRL CML CoGe 34 123 0 03 May 2019