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cs.LG2022
Anomalous behaviour in loss-gradient based interpretability methods
Vinod Subramanian, Siddharth Gururani, Emmanouil Benetos +1
Loss-gradients are used to interpret the decision making process of deep learning models. In this work, we evaluate loss-gradient based attribution methods by occluding parts of th…
cs.SD2022
Deep Embeddings for Robust User-Based Amateur Vocal Percussion Classification
Alejandro Delgado, Emir Demirel, Vinod Subramanian +2
Vocal Percussion Transcription (VPT) is concerned with the automatic detection and classification of vocal percussion sound events, allowing music creators and producers to sketch…