The Variational Fair Autoencoder

3 November 2015

Papers citing "The Variational Fair Autoencoder"

8 / 158 papers shown

Title
Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations Alex Beutel Jilin Chen Zhe Zhao Ed H. Chi FaML 19 442 0 01 Jul 2017
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos Uri Shalit Joris Mooij David Sontag R. Zemel Max Welling CML BDL 69 732 0 24 May 2017
Counterfactual Fairness Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo M. A. Silva FaML 25 1,558 0 20 Mar 2017
Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning Werner Zellinger Thomas Grubinger E. Lughofer T. Natschläger Susanne Saminger-Platz OOD 36 563 0 28 Feb 2017
Asymmetric Tri-training for Unsupervised Domain Adaptation Kuniaki Saito Yoshitaka Ushiku Tatsuya Harada 49 583 0 27 Feb 2017
Disentangling factors of variation in deep representations using adversarial training Michaël Mathieu Jun Zhao Pablo Sprechmann Aditya A. Ramesh Yann LeCun DRL CML 53 489 0 10 Nov 2016
Neural Structural Correspondence Learning for Domain Adaptation Yftah Ziser Roi Reichart DRL 16 107 0 05 Oct 2016
Neural Variational Inference for Text Processing Yishu Miao Lei Yu Phil Blunsom VLM DRL 28 616 0 19 Nov 2015