Continual Semi-Supervised Learning

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Details

This book constitutes the proceedings of the First International Workshop on Continual Semi-Supervised Learning, CSSL 2021, which took place as a virtual event during August 2021.The 9 full papers and 0 short papers included in this book were carefully reviewed and selected from 14 submissions.



Inhalt
International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines.- Unsupervised Continual Learning Via Pseudo Labels.- Transfer and Continual Supervised Learning for Robotic Grasping through Grasping Features.- Unsupervised Continual Learning via Self-Adaptive Deep Clustering Approach.- Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments.- A Benchmark and Empirical Analysis for Replay Methods in Continual Learning.- SPeCiaL: Self-Supervised Pretraining for Continual Learning.- Distilled Replay: Overcoming Forgetting through Synthetic Samples.- Self-supervised Novelty Detection for Continual Learning: A Gradient-based Approach Boosted by Binary Classification.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783031175862
    • Genre Information Technology
    • Auflage 1st edition 2022
    • Editor Fabio Cuzzolin, Vincenzo Lomonaco, Kevin Cannons
    • Lesemotiv Verstehen
    • Anzahl Seiten 156
    • Größe H235mm x B155mm x T9mm
    • Jahr 2022
    • EAN 9783031175862
    • Format Kartonierter Einband
    • ISBN 3031175867
    • Veröffentlichung 28.09.2022
    • Titel Continual Semi-Supervised Learning
    • Untertitel First International Workshop, CSSL 2021, Virtual Event, August 19-20, 2021, Revised Selected Papers
    • Gewicht 248g
    • Herausgeber Springer International Publishing
    • Sprache Englisch

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