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Brain-Inspired Continual Learning: Robust Feature Distillation and Re-Consolidation for Class Incremental Learning
Artificial intelligence and neuroscience have a long and intertwined history. Advancements
in neuroscience research have significantly influenced the development of artificial …
in neuroscience research have significantly influenced the development of artificial …
[PDF][PDF] Saliency-driven Experience Replay for Continual Learning
Abstract We present Saliency-driven Experience Replay-SER-a biologically-plausible
approach based on replicating human visual saliency to enhance classification models in …
approach based on replicating human visual saliency to enhance classification models in …
Patch-Based Contrastive Learning and Memory Consolidation for Online Unsupervised Continual Learning
We focus on a relatively unexplored learning paradigm known as {\em Online Unsupervised
Continual Learning}(O-UCL), where an agent receives a non-stationary, unlabeled data …
Continual Learning}(O-UCL), where an agent receives a non-stationary, unlabeled data …