7 citations · 7 across the 3 of their papers we have counts for
4 papers
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…
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…
Memory Controlled Sequential Self Attention for Sound Recognition
Arjun Pankajakshan, Helen L. Bear, Vinod Subramanian +1
In this paper we investigate the importance of the extent of memory in sequential self attention for sound recognition. We propose to use a memory controlled sequential self attent…
Adversarial Attacks in Sound Event Classification
Vinod Subramanian, Emmanouil Benetos, Ning Xu +2
Adversarial attacks refer to a set of methods that perturb the input to a classification model in order to fool the classifier. In this paper we apply different gradient based adve…