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20212026
most citedUsing Adapters to Overcome Catastrophic Forgetting in End-to-End Automatic Speech Recognition

21 citations · 44 across the 7 of their papers we have counts for

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7 papers

eess.AS2026

Inverse-Hessian Regularization for Continual Learning in ASR

Steven Vander Eeckt, Hugo Van hamme

Catastrophic forgetting remains a major challenge for continual learning (CL) in automatic speech recognition (ASR), where models must adapt to new domains without losing performan…

cs.LG2025★ 1 cited

Continual Learning With Quasi-Newton Methods

Steven Vander Eeckt, Hugo Van hamme

Catastrophic forgetting remains a major challenge when neural networks learn tasks sequentially. Elastic Weight Consolidation (EWC) attempts to address this problem by introducing…

eess.AS2024★ 2 cited

Unsupervised Online Continual Learning for Automatic Speech Recognition

Steven Vander Eeckt, Hugo Van hamme

Adapting Automatic Speech Recognition (ASR) models to new domains leads to Catastrophic Forgetting (CF) of previously learned information. This paper addresses CF in the challengin…

eess.AS2023★ 3 cited

Rehearsal-Free Online Continual Learning for Automatic Speech Recognition

Steven Vander Eeckt, Hugo Van hamme

Fine-tuning an Automatic Speech Recognition (ASR) model to new domains results in degradation on original domains, referred to as Catastrophic Forgetting (CF). Continual Learning (…

eess.AS2022★ 7 cited

Weight Averaging: A Simple Yet Effective Method to Overcome Catastrophic Forgetting in Automatic Speech Recognition

Steven Vander Eeckt, Hugo Van hamme

Adapting a trained Automatic Speech Recognition (ASR) model to new tasks results in catastrophic forgetting of old tasks, limiting the model's ability to learn continually and to b…

eess.AS2022★ 21 cited

Using Adapters to Overcome Catastrophic Forgetting in End-to-End Automatic Speech Recognition

Steven Vander Eeckt, Hugo Van hamme

Learning a set of tasks in sequence remains a challenge for artificial neural networks, which, in such scenarios, tend to suffer from Catastrophic Forgetting (CF). The same applies…

eess.AS2021★ 10 cited

Continual Learning for Monolingual End-to-End Automatic Speech Recognition

Steven Vander Eeckt, Hugo Van hamme

Adapting Automatic Speech Recognition (ASR) models to new domains results in a deterioration of performance on the original domain(s), a phenomenon called Catastrophic Forgetting (…