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Oct 12, 2023 · Abstract:In continual learning, the learner learns multiple tasks in sequence, with data being acquired only once for each task.
Oct 12, 2023 · Abstract—In continual learning, the learner learns multiple tasks in sequence, with data being acquired only once for each.
This work argues that expanding the implicit manifold of the knowledge representation in the episodic memory helps to improve the robustness and ...
Oct 22, 2023 · In continual learning, the learner learns multiple tasks in sequence, with data being acquired only once for each task.
To address this problem, we propose a novel replay strategy called Manifold Expansion Replay (MaER). We argue that expanding the implicit manifold of the ...
Sep 28, 2024 · Therefore, in this paper, we introduce a continual learning method based on a replay mechanism and explore how to incorporate hyperbolic space ...
Jun 16, 2024 · Accordingly, Contin- ual Learning (CL) is proposed to learn a sequence of tasks incrementally, updating models for the changing environment ...
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This theoretical work combines statistical physics and control theory to design optimal task-selection protocols mitigating catastrophic forgetting
Continual learning seeks to enable deep learners to train on a series of tasks of unknown length without suffering from the catastrophic forgetting of ...
To effectively replay these abstract high-level representations, we inject constructive noise by mixing up representations ( ˜M), adding noise to the internal ...