Multi-Objective Few-shot Learning for Fair Classification

In this paper, we propose a general framework for mitigating the disparities of the predicted classes with respect to secondary attributes within the data (e.g., race, gender etc.). Our proposed method involves learning a multi-objective function that in addition to learning the primary objective of...

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Bibliographic Details

Main Authors:	Mondal, Ishani, Sen, Procheta, Ganguly, Debasis
Format:	Journal Article
Language:	English
Published:	05-10-2021
Subjects:	Computer Science - Computation and Language Computer Science - Learning
Online Access:	Get full text
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