2022
Robust and Efficient Uncertainty Aware Biosignal Classification via Early Exit Ensembles
ICASSP 2022accepted
Ensembles of deep learning models can be used for estimating predictive uncertainty. Existing ensemble approaches, however, introduce a high computational and memory cost limiting their applicability to real-time biosignal applications (e.g. ECG, EEG). To address these issues, we propose early exit…