Despite being responsible for state-of-the-art results in several computer vision and natural
language processing tasks, neural networks have faced harsh criticism due to some of their …

Text-to-image generative models often reflect the biases of the training data, leading to
unequal representations of underrepresented groups. This study investigates inclusive text …

Despite being responsible for state-of-the-art results in several computer vision and natural
language processing tasks, neural networks have faced harsh criticism due to some of their …

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 …

In several real-world applications (eg, online advertising, item recommendations, etc.) it may
not be possible to release and share the real dataset due to privacy concerns. As a result …

In light of significant issues in the technology industry, such as algorithms that worsen racial
biases, the spread of online misinformation, and the expansion of mass surveillance, it is …

Abstract Pre-trained Generative Adversarial Networks (GANs) can provide rich information
and make various downstream tasks beneficial. However, the training process of GANs …

The past decade has observed a great advancement in AI with deep learning-based models
being deployed in diverse scenarios including safety-critical applications. As these AI …

The issue of bias in Machine Learning (ML) models is a significant challenge for the
machine learning community. Real-world biases can be embedded in the data used to train …

Archean granitoids are the earliest representation of continental crust on Earth. The Archean
geological record is dominated by rocks of the tonalite–trondhjemite–granodiorite (TTG) …