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Jul, 2023
类增量高斯混合模型用于深度持续学习
Class-Incremental Mixture of Gaussians for Deep Continual Learning
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Lukasz Korycki, Bartosz Krawczyk
TL;DR
该研究针对稳定数据的连续学习模型,提出了一种混合高斯模型的端到端融合方法,并在内部空间进行联合优化和调整,同时证明了该模型在基于图像分类问题上的竞争力。
Abstract
continual learning
models for
stationary data
focus on learning and retaining concepts coming to them in a sequential manner. In the most generic
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