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Averaged Gradient Episodic Memory (A-GEM)

Improved variant of GEM that solves the quadratic optimization problem by using a more efficient approximation of gradient constraints, reducing computational complexity while preserving performance.

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Episodic Memory Replay

Mechanism for selective recall of specific episodes stored in long-term memory, allowing targeted reconsolidation of relevant knowledge when learning new tasks.

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Selective Experience Replay

Memorization strategy that adaptively selects experiences to retain based on their relevance, diversity, or expected contribution to avoiding catastrophic forgetting.

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Herding Selection

Method for selecting representative examples that maximizes diversity in feature space, choosing points that minimize the average distance to all other points of the same class.

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Class-Balanced Sampling

Sampling strategy that ensures fair representation of classes in replay memory, preventing distribution bias and improving generalization on imbalanced tasks.

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Meta-Learning with Memory

Learning paradigm where the model learns to learn by using episodic memory to store and retrieve rapid adaptation strategies based on previous learning experiences.

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Dynamic Memory Networks

Augmented memory architecture using dynamic attention mechanisms and episodic memory modules to sequentially process information and build rich representations for reasoning.

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Episodic Memory Module

Neural component specialized in storing and retrieving specific experiential episodes, implementing content-addressing mechanisms and differentiable updates for continuous learning.

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