Deep Neural Networks (DNNs) have powerful recognition abilities to classify different objects. Although the models of DNNs can reach very high accuracy even ...
This paper proposes a kind of DNNs, termed as Conceptual Alignment Deep Neural Networks (CADNNs), which can produce interpretable representations in the ...
Mar 22, 2018 · In the proposed Conceptual Alignment Deep Neural Networks (CADNNs), some neurons in the hidden layers are chosen as the conceptual neurons.
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Abstract. Deep Neural Networks (DNNs) have powerful recognition abilities to classify different objects. Although the models of DNNs can reach very high ...
Deep Neural Networks (DNNs) have powerful recognition abilities to classify different objects. Although the models of DNNs can reach very high accuracy even ...
The method of conceptual alignment deep neural networks (CADNNs) [8] is used to constrain the training of the actor-network to achieve more stable performance.
We present concept-aligned neurons, or CAN, a visualization design for comparing deep neural networks. The goal of CAN is to support users in understanding ...
Sep 10, 2024 · Our findings suggest that the convex regions formed in latent spaces of neural networks to some extent align with human-defined categories and ...
Missing: Conceptual | Show results with:Conceptual
Conceptual alignment deep neural networks. https://doi.org/10.3233/jifs-169457 · Full text. Journal: Journal of Intelligent & Fuzzy Systems, 2018, № 3, p ...
Jan 9, 2024 · Concept alignment will lead to natural language communication with AI systems that is functionally equivalent to natural language communication ...