Fairness in deep learning: A survey on vision and language research
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 …
language processing tasks, neural networks have faced harsh criticism due to some of their …
Debiasing methods for fairer neural models in vision and language research: A survey
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 …
language processing tasks, neural networks have faced harsh criticism due to some of their …
Protected attribute guided representation learning for bias mitigation in limited data
P Mazumder, P Singh - Knowledge-Based Systems, 2022 - Elsevier
In many real-world problem settings, the training data may contain certain unwanted
correlations or biases. Such biases generally occur due to imbalances/skew in the data with …
correlations or biases. Such biases generally occur due to imbalances/skew in the data with …