Fairness

This project explores the case for potential bias in generative models such as variational autoencoders. The project also briefly looks at ways to mitigate such bias.

Mini-project that looks at potential bias in pre-trained word embeddings and methods on how to remove such bias.

Poster presentation on the work related to counterfactuals for fairness.