Kavin Chandrasekaran

Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes

Generative models are being increasingly used in science and industry applications. Unfortunately, they often perpetuate the biases present in their training sets, such as societal biases causing certain groups to be underrepresented in the data. For instance, image generators may overwhelmingly pr…