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NestedVAE: Isolating Common Factors via Weak Supervision

NestedVAE: Isolating Common Factors via Weak Supervision

26 February 2020
M. Vowels
Necati Cihan Camgöz
Richard Bowden
    CML
    DRL
ArXivPDFHTML

Papers citing "NestedVAE: Isolating Common Factors via Weak Supervision"

7 / 7 papers shown
Title
Differential Adjusted Parity for Learning Fair Representations
Differential Adjusted Parity for Learning Fair Representations
Bucher Sahyouni
Matthew Vowels
Liqun Chen
Simon Hadfield
FaML
86
0
0
13 Feb 2025
Gacs-Korner Common Information Variational Autoencoder
Gacs-Korner Common Information Variational Autoencoder
Michael Kleinman
Alessandro Achille
Stefano Soatto
J. Kao
CML
DRL
13
12
0
24 May 2022
SKILL-IL: Disentangling Skill and Knowledge in Multitask Imitation
  Learning
SKILL-IL: Disentangling Skill and Knowledge in Multitask Imitation Learning
Xihan Bian
Oscar Alejandro Mendez Maldonado
Simon Hadfield
16
6
0
06 May 2022
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CML
37
296
0
03 Mar 2021
Unsupervised Learning of Global Factors in Deep Generative Models
Unsupervised Learning of Global Factors in Deep Generative Models
I. Peis
Pablo Martínez Olmos
Antonio Artés-Rodríguez
BDL
DRL
14
8
0
15 Dec 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
305
4,203
0
23 Aug 2019
Improving fairness in machine learning systems: What do industry
  practitioners need?
Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein
Jennifer Wortman Vaughan
Hal Daumé
Miroslav Dudík
Hanna M. Wallach
FaML
HAI
192
742
0
13 Dec 2018
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