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Robin Netzorg

2 accepted papers

2024

Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and Retraining

ICML 2024poster

In recent years, work has gone into developing deep interpretable methods for image classification that clearly attributes a model's output to specific features of the data. One such of these methods is the Prototypical Part Network (ProtoPNet), which attempts to classify images based on meaningful…

2024

Towards an Interpretable Representation of Speaker Identity via Perceptual Voice Qualities

ICASSP 2024accepted

Unlike other data modalities such as text and vision, speech does not lend itself to easy interpretation. While lay people can understand how to describe an image or sentence via perception, non-expert descriptions of speech often end at high-level demographic information, such as gender or age. In…

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