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06/01/2022
Higher-Order Attention Networks
This paper introduces higher-order attention networks (HOANs), a novel c...
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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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06/08/2021
Augmenting Molecular Deep Generative Models with Topological Data Analysis Representations
Deep generative models have emerged as a powerful tool for learning info...
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06/02/2021
Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI
In this paper, we describe an open source Python toolkit named Uncertain...
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03/15/2019
Crowd Counting with Decomposed Uncertainty
Research in neural networks in the field of computer vision has achieved...
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10/03/2018
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Fairness is an increasingly important concern as machine learning models...
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08/22/2018
