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07/05/2023
DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications
Along with the successful deployment of deep neural networks in several ...
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04/21/2023
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs
Data collected from the real world tends to be biased, unbalanced, and a...
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12/18/2022
Estimating the Adversarial Robustness of Attributions in Text with Transformers
Explanations are crucial parts of deep neural network (DNN) classifiers....
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06/07/2022
Fooling Explanations in Text Classifiers
State-of-the-art text classification models are becoming increasingly re...
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11/09/2020
Artificial Intelligence Decision Support for Medical Triage
Applying state-of-the-art machine learning and natural language processi...
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10/14/2020
FAR: A General Framework for Attributional Robustness
Attribution maps have gained popularity as tools for explaining neural n...
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09/28/2018
