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02/20/2023
Simple Disentanglement of Style and Content in Visual Representations
Learning visual representations with interpretable features, i.e., disen...
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05/26/2022
Understanding new tasks through the lens of training data via exponential tilting
Deploying machine learning models to new tasks is a major challenge desp...
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01/29/2022
Rewiring with Positional Encodings for Graph Neural Networks
Several recent works use positional encodings to extend the receptive fi...
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10/26/2021
Post-processing for Individual Fairness
Post-processing in algorithmic fairness is a versatile approach for corr...
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08/03/2021
Your fairness may vary: Group fairness of pretrained language models in toxic text classification
We study the performance-fairness trade-off in more than a dozen fine-tu...
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11/06/2020
There is no trade-off: enforcing fairness can improve accuracy
One of the main barriers to the broader adoption of algorithmic fairness...
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06/28/2019
