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