883 citations · 2.2k across the 58 of their papers we have counts for
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An Efficient Evolutionary Deep Learning Framework Based on Multi-source Transfer Learning to Evolve Deep Convolutional Neural Networks
Bin Wang, Bing Xue, Mengjie Zhang
Convolutional neural networks (CNNs) have constantly achieved better performance over years by introducing more complex topology, and enlarging the capacity towards deeper and wide…
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations
Bin Wang, Wenbin Pei, Bing Xue +1
Deep convolutional neural networks have proven their effectiveness, and have been acknowledged as the most dominant method for image classification. However, a severe drawback of d…
Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification
Ying Bi, Bing Xue, Mengjie Zhang
Data-efficient image classification is a challenging task that aims to solve image classification using small training data. Neural network-based deep learning methods are effectiv…
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends
Ying Bi, Bing Xue, Pablo Mesejo +2
Computer vision (CV) is a big and important field in artificial intelligence covering a wide range of applications. Image analysis is a major task in CV aiming to extract, analyse…
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning
Christian Raymond, Qi Chen, Bing Xue +1
In this paper, we develop upon the emerging topic of loss function learning, which aims to learn loss functions that significantly improve the performance of the models trained und…
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues
Nan Li, Lianbo Ma, Guo Yu +3
Over recent years, there has been a rapid development of deep learning (DL) in both industry and academia fields. However, finding the optimal hyperparameters of a DL model often n…