Addressing Artificial Intelligence Bias in Retinal Disease Diagnostics

Addressing Artificial Intelligence Bias in Retinal Disease Diagnostics

28 April 2020

Philippe Burlina

William Paul

Katia D. Pacheco

Papers citing "Addressing Artificial Intelligence Bias in Retinal Disease Diagnostics"

8 / 8 papers shown

Title
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes with Applications to Anomaly Detection William Paul I-J. Wang F. Alajaji Philippe Burlina DiffM DRL 34 6 0 25 Feb 2020
A Primer on Domain Adaptation Pirmin Lemberger Ivan Panico OOD 24 14 0 27 Jan 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 488 4,308 0 23 Aug 2019
On the Fairness of Disentangled Representations Francesco Locatello G. Abbati Tom Rainforth Stefan Bauer Bernhard Schölkopf Olivier Bachem FaML DRL 56 226 0 31 May 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 74 1,802 0 10 Apr 2019
Deep Learning for Anomaly Detection: A Survey Raghavendra Chalapathy Sanjay Chawla AI4TS 110 1,486 0 10 Jan 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 508 10,500 0 12 Dec 2018
Mitigating Unwanted Biases with Adversarial Learning B. Zhang Blake Lemoine Margaret Mitchell FaML 111 1,373 0 22 Jan 2018