Fig. 1From: Comparison of semi-supervised deep learning algorithms for audio classificationMT workflow. Both models receive as input labeled xs and unlabeled files xu. A supervised loss \(\mathcal {L}_{s}\) is computed between the ground truth and the student model predictions, whereas a consistency cost \(\mathcal {L}_{\text {cc}}\) is computed between the student and teacher model predictionsBack to article page