Dec 26, 2022 · Our paper proposes a new saliency-augmented memory completion framework for continual learning, inspired by recent discoveries in memory completion separation.

Dec 26, 2022 · The module's parameters are shared across all tasks and it can be jointly trained with a continual learning classifier as bilevel optimization.

This is the GitHub repo for the paper "Saliency-Augmented Memory Completion for Continual Learning" published at SIAM SDM 2023.

Continual Learning is considered a key step toward next-generation ArtificialIntelligence. Among various methods, replay-based approaches that maintain ...

Dec 26, 2022 · To achieve thesesimultaneously, our paper proposes a new saliency-augmented memory completionframework for continual learning, inspired by ...

Continual Learning is considered a key step toward next-generation Artificial Intelligence. Among various methods, replay-based approaches that maintain and ...

Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.

Co-authors ; Saliency-augmented Memory Completion for Continual Learning. G Bai, C Ling, Y Gao, L Zhao. SDM 2023, 244-252, 2023. 4, 2023 ; Sign-Regularized Multi- ...

Saliency-Augmented Memory Completion for Continual Learning ... Specifically, we innovatively propose to store the part of the image most important to the tasks ...

A new saliency-augmented memory completion framework for continual learning, inspired by recent discoveries in memory completion separation in cognitive ...