Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks
Published in Proceedings of the Fifteenth Indian Conference on Computer Vision Graphics and Image Processing, 2024
A variational continual learning framework for Bayesian neural networks with parameter-efficient distribution learning, revised KL-based regularization, and importance-weighted ELBO for reducing catastrophic forgetting and improving knowledge transfer
Recommended citation: Sanchar Palit, Subhasis Chaudhuri, and Biplab Banerjee, "Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks", ICVGIP, 2024.
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