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Continual Semi-Supervised Learning [electronic resource] : First International Workshop, CSSL 2021, Virtual Event, August 19–20, 2021, Revised Selected Papers /

Contributor(s): Material type: TextTextSeries: Lecture Notes in Artificial Intelligence ; 13418Publisher: Cham : Springer International Publishing : Imprint: Springer, 2022Edition: 1st ed. 2022Description: XIII, 135 p. 47 illus., 43 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031175879
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334-342
  • TA347.A78
Online resources:
Contents:
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.
In: Springer Nature eBookSummary: 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.
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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.

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.

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