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Artificial Neural Networks and Machine Learning – ICANN 2021

30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part II

  • Conference proceedings
  • © 2021


Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12892)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ICANN 2021.

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About this book

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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Table of contents (51 papers)

  1. Computer Vision and Object Detection

  2. Convolutional Neural Networks and Kernel Methods

  3. Deep Learning and Optimization I

Editors and Affiliations

  • Comenius University in Bratislava, Bratislava, Slovakia

    Igor Farkaš

  • iMotions A/S, Copenhagen, Denmark

    Paolo Masulli

  • University of Tübingen, Tübingen, Germany

    Sebastian Otte

  • Universität Hamburg, Hamburg, Germany

    Stefan Wermter

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