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Parameter Isolation with Domain-Specific Experts for Incremental Audio Classification
A new arXiv preprint proposes using separate domain-specific expert subnetworks, combined with parameter isolation, to handle domain-incremental learning for audio classification. The approach targets settings where a previously trained model must keep adapting as new data domains arrive over time, such as streaming prediction and sensing control. It is a cross-listed machine learning paper and has not yet been peer reviewed.