no code implementations • 12 Dec 2023 • Trevor Londt, Xiaoying Gao, Peter Andreae, Yi Mei
This paper introduces a new CE representation and algorithm capable of evolving novel multi-path CNN architectures of varying depth, width, and complexity for image and text classification tasks.
no code implementations • 3 Dec 2020 • Trevor Londt, Xiaoying Gao, Peter Andreae
Results indicate that the algorithm evolves performant models for both datasets that outperform two of the state-of-the-art models in terms of model accuracy and three of the state-of-the-art models in terms of parameter size.
no code implementations • 3 Dec 2020 • Trevor Londt, Xiaoying Gao, Bing Xue, Peter Andreae
Researchers have not applied EDL techniques to search the architecture space of char-CNNs for text classification tasks.