Recently, there has been a growing surge of interest in enabling machine learning systems
to generalize well to Out-of-Distribution (OOD) data. Most efforts are devoted to advancing …

When building classification systems with demographic fairness considerations there are
two objectives to satisfy: 1) maximizing utility for the specific task and 2) ensuring fairness wrt …

Large pre-trained vision-language models such as CLIP provide compact and general-
purpose representations of text and images that are demonstrably effective across multiple …

Computer vision systems have witnessed rapid progress over the past two decades due to
multiple advances in the field. As these systems are increasingly being deployed in high …

Large pre-trained vision-language models such as CLIP provide compact and general-
purpose representations of text and images that are demonstrably effective across multiple …

Images generated by text-to-image (T2I) models often exhibit visual biases and stereotypes
of concepts such as culture and profession. Existing quantitative measures of stereotypes …

In this document, I tried to list down the different techniques for solving fairness problem as
mentioned in Lahoti et al.. To solve this task, I tried to look for approaches used in the …