Continual Learning for Automated Audio Captioning Using The Learning Without Forgetting Approach

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Automated audio captioning (AAC) is the task of automatically creating textual descriptions (i.e. captions) for the contents of a general audio signal. Most AAC methods are using existing datasets to optimize and/or evaluate upon.

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MARVEL at the webinar series on Digital transformation for cities and communities

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CNR, represented by Theofanis Raptis, participated in the webinar series on Digital transformation for cities and communities, focused on "Crowdsource systems: A people-led paradigm". The webinar took place on the 2nd of November 2021 virtually and was organized by ITU.

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Multi-Exit Vision Transformer for Dynamic Inference

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Underspecification and fairness in machine learning (ML) applications have recently become two prominent issues in the ML community. Acoustic scene classification (ASC) applications have so far remained unaffected by this discussion, but are now becoming increasingly used in real-world systems where fairness and reliability are critical aspects.

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