Jun 23, 2021 · This work tackles the issue of fairness in the context of generative procedures, such as image super-resolution, which entail different definitions.

Abstract. This work tackles the issue of fairness in the context of generative procedures, such as image super-resolution, which entail different ...

Jun 23, 2021 · This work tackles the issue of fairness in the context of generative procedures, such as image super-resolution, which entail different ...

Jul 18, 2021 · This is an embedded video. Talk and the respective paper are published at ICML 2021 virtual conference. If you are one of the authors of the ...

View recent discussion. Abstract: This work tackles the issue of fairness in the context of generative procedures, such as image super-resolution, ...

Jul 19, 2021 · The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of ...

Fairness for image generation with uncertain sensitive attributes. A Jalal, S Karmalkar, J Hoffmann, A Dimakis, E Price. International Conference on Machine ...

In this paper, we propose a confidence-based hierarchical struc- ture of variational autoencoder (VAE) architectures called “Reckoner” for reliable fairness ...

Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage. Debiasing Learning for Membership Inference Attacks Against Recommender ...

Sep 17, 2024 · We show empirically that enforcing fairness constraints on samples with uncertain sensitive attributes can negatively impact the fairness- ...