IHR incorporates curvature information via inverse Hessian approximation into the model merging step for continual learning in ASR, outperforming baselines by reducing forgetting while improving adaptability on two benchmarks.
Adam: A method for stochastic optimization
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.AS 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Inverse-Hessian Regularization for Continual Learning in ASR
IHR incorporates curvature information via inverse Hessian approximation into the model merging step for continual learning in ASR, outperforming baselines by reducing forgetting while improving adaptability on two benchmarks.