Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness Metrics

By Charan Reddy, Deepak Kumar Sharma, Soroush Mehri, Adriana Romero-Soriano, Samira Shabanian, Sina Honari. 2021

38 citations recorded by the source corpus.

Subfields: Safety, Robustness & Interpretability

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In Safety, Robustness & Interpretability

1. Martin Strobel
2. Hong Chang
3. Tai Le Quy
4. Eirini Ntoutsi
5. Reza Shokri
6. Vasileios Iosifidis
7. Arjun Roy
8. Prakhar Ganesh

Citations in the corpus

• On The Impact of Machine Learning Randomness on Group Fairness (2023, background): “[45] Charan Reddy, Deepak Sharma, Soroush Mehri, Adriana Romero-Soriano, Samira Shabanian, and Sina Honari.”
• A survey on datasets for fairness‐aware machine learning (2021, methodology): “Synthetic datasets have been also used for the evaluation of fairness-aware learning methods (D'Amour et al., 2020; Loh et al., 2019; Reddy et al., 2021; Tu et al., 2020; Zafar, Valera, Gomez Rodriguez, & Gummadi, 2017) to produce desired testing scenarios, which may not yet be captured by the…”