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Dec 31, 2021 · We propose a novel artificial neural network architecture that incorporates active dendrites and sparse representations into the standard deep learning ...
We propose a novel artificial neural network architecture that incorporates active dendrites and sparse representations into the standard deep learning ...
We propose a novel artificial neural network architecture that incorporates active dendrites and sparse representations into the standard deep learning ...
Mar 18, 2022 · This paper introduces Active Dendrites, which carries over the principle of context-sensitive gating by dendrites into the deep learning world.
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In this article we investigate biologically inspired architectures as solutions to catastrophic interference. Specifically, we show that the biophysical ...
This article proposes a novel artificial neural network architecture that incorporates active dendrites and sparse representations into the standard deep ...
Dec 31, 2021 · In these settings, error signals from multiple contexts can interfere with one another, ultimately leading to a phenomenon known as catastrophic ...
In these settings, error signals from multiple contexts can interfere with one another, ultimately leading to a phenomenon known as catastrophic forgetting. In ...
Catastrophic forgetting is a big problem in mutli-task and continual learning. Gradients of different objectives tend to conflict, and new tasks tend to ...