β-CapsNet: learning disentangled representation for CapsNet by information bottleneck

Ming-fei Hu; Jian–wei Liu

doi:10.1007/s00521-022-07729-w

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β-CapsNet: learning disentangled representation for CapsNet by information bottleneck

Ming-fei Hu Jian–wei Liu

Year: 2022 Journal: Neural Computing and Applications Vol: 35 (3)Pages: 2503-2525 Publisher: Springer Science+Business Media

DOI: 10.1007/s00521-022-07729-w

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Keywords:

Hyperparameter Computer science Bottleneck Artificial intelligence Constraint (computer-aided design) Pattern recognition (psychology) Representation (politics) Inference Divergence (linguistics) Machine learning Mathematics

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Adversarial Robustness in Machine Learning

Physical Sciences → Computer Science → Artificial Intelligence

Generative Adversarial Networks and Image Synthesis

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β-CapsNet: learning disentangled representation for CapsNet by information bottleneck

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