Artificial Neural Networks and Machine Learning – ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, ... II (Lecture Notes in Computer Science, 12892)

Artificial Neural Networks and Machine Learning – ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, ... II (Lecture Notes in Computer Science, 12892)

Author
Igor Farkaš (editor), Paolo Masulli (editor), Sebastian Otte (editor), Stefan Wermter (editor)
Publisher
Springer
Language
English
Edition
1st ed. 2021
Year
2021
Page
674
ISBN
3030863395,9783030863395
File Type
pdf
File Size
66.3 MiB

The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894 and LNCS 12895 constitute the proceedings of the 30th International Conference on Artificial Neural Networks, ICANN 2021, held in Bratislava, Slovakia, in September 2021.* The total of 265 full papers presented in these proceedings was carefully reviewed and selected from 496 submissions, and organized in 5 volumes.

In this volume, the papers focus on topics such as computer vision and object detection, convolutional neural networks and kernel methods, deep learning and optimization, distributed and continual learning, explainable methods, few-shot learning and generative adversarial networks.

*The conference was held online 2021 due to the COVID-19 pandemic.

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