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10/17/2022
Systematic Evaluation of Predictive Fairness
Mitigating bias in training on biased datasets is an important open prob...
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05/05/2022
Optimising Equal Opportunity Fairness in Model Training
Real-world datasets often encode stereotypes and societal biases. Such b...
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05/04/2022
fairlib: A Unified Framework for Assessing and Improving Classification Fairness
This paper presents fairlib, an open-source framework for assessing and ...
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09/22/2021
Contrastive Learning for Fair Representations
Trained classification models can unintentionally lead to biased represe...
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03/18/2021
Evaluating Document Coherence Modelling
While pretrained language models ("LM") have driven impressive gains ove...
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01/04/2019
