Tag: continual learning
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Efficient Continual Visual Anomaly Detection on Edge Devices
Discover efficient continual visual anomaly detection solutions for edge devices with our benchmark and Tiny-Dinomaly model for improved performance.
Analytic Drift Resister for Improved Continual Graph Learning
Discover how Analytic Drift Resister enhances Non-Exemplar Continual Graph Learning by preventing feature drift and boosting model adaptability.
FIRE: Balancing Stability and Plasticity in Neural Nets
Discover FIRE, a novel method that optimizes neural network reinitialization to balance stability and plasticity for improved learning on nonstationary dat...
Brainstacks: Efficient Cross-Domain Continual Learning for LLMs
Discover Brainstacks, a modular architecture enhancing continual multi-domain learning in LLMs with frozen MoE-LoRA stacks for efficient, zero-forgetting A...
Continual Learning for Resource-Limited Agents via CAS
Discover efficient continual learning for resource-constrained agents using stochastic Compress-Add-Smooth recursion without neural networks.