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06/27/2023
Transferability Metrics for Object Detection
Transfer learning aims to make the most of existing pre-trained models t...
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07/27/2022
Towards Clear Expectations for Uncertainty Estimation
If Uncertainty Quantification (UQ) is crucial to achieve trustworthy Mac...
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06/21/2022
Performance Prediction Under Dataset Shift
ML models deployed in production often have to face unknown domain chang...
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09/03/2021
Sample Noise Impact on Active Learning
This work explores the effect of noisy sample selection in active learni...
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06/28/2021
Ensembling Shift Detectors: an Extensive Empirical Evaluation
The term dataset shift refers to the situation where the data used to tr...
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12/18/2020
Rebuilding Trust in Active Learning with Actionable Metrics
Active Learning (AL) is an active domain of research, but is seldom used...
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10/10/2016
