Representation Learning with Statistical Independence to Mitigate Bias

Representation Learning with Statistical Independence to Mitigate Bias

8 October 2019

Qingyu Zhao

Li Fei-Fei

Juan Carlos Niebles

Papers citing "Representation Learning with Statistical Independence to Mitigate Bias"

6 / 6 papers shown

Title
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses Robik Shrestha Kushal Kafle Christopher Kanan CML 38 13 0 05 Apr 2022
Addressing Fairness, Bias and Class Imbalance in Machine Learning: the FBI-loss E. Ferrari D. Bacciu FaML AI4CE 33 6 0 13 May 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 256 492 0 31 Dec 2020
NestedVAE: Isolating Common Factors via Weak Supervision M. Vowels Necati Cihan Camgöz Richard Bowden CML DRL 26 21 0 26 Feb 2020
On the Global Optima of Kernelized Adversarial Representation Learning Bashir Sadeghi Runyi Yu Vishnu Boddeti AAML 67 31 0 16 Oct 2019
Measuring and testing dependence by correlation of distances G. Székely Maria L. Rizzo N. K. Bakirov 185 2,578 0 28 Mar 2008