Riccardo Casciotti

The solution that seems to alleviate catastrophic forgetting and is the most efficient is a full freezing of the feature extractor with a fine-tuning of the dynamic head classifier, showing little to no forgetting and great training stability, and a good balance between memory-stability and learning plasticity.

Learning sound classes across varying acoustic domains without prior data access reveals a critical gap in current incremental learning approaches.