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Continual semi-supervised learning =...
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International Workshop on Continual Semi-Supervised Learning (2021 :)
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Continual semi-supervised learning = first International Workshop, CSSL 2021, virtual event, August 19-20, 2021 : revised selected papers /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Continual semi-supervised learning/ edited by Fabio Cuzzolin, Kevin Cannons, Vincenzo Lomonaco.
Reminder of title:
first International Workshop, CSSL 2021, virtual event, August 19-20, 2021 : revised selected papers /
remainder title:
CSSL 2021
other author:
Cuzzolin, Fabio.
corporate name:
International Workshop on Continual Semi-Supervised Learning
Published:
Cham :Springer International Publishing : : 2022.,
Description:
xiii, 135 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:
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.
Contained By:
Springer Nature eBook
Subject:
Supervised learning (Machine learning) - Congresses. -
Online resource:
https://doi.org/10.1007/978-3-031-17587-9
ISBN:
9783031175879
Continual semi-supervised learning = first International Workshop, CSSL 2021, virtual event, August 19-20, 2021 : revised selected papers /
Continual semi-supervised learning
first International Workshop, CSSL 2021, virtual event, August 19-20, 2021 : revised selected papers /[electronic resource] :CSSL 2021edited by Fabio Cuzzolin, Kevin Cannons, Vincenzo Lomonaco. - Cham :Springer International Publishing :2022. - xiii, 135 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,134180302-9743 ;. - Lecture notes in computer science ;13418..
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.
ISBN: 9783031175879
Standard No.: 10.1007/978-3-031-17587-9doiSubjects--Topical Terms:
3605789
Supervised learning (Machine learning)
--Congresses.
LC Class. No.: Q325.75 / .I57 2021
Dewey Class. No.: 006.31
Continual semi-supervised learning = first International Workshop, CSSL 2021, virtual event, August 19-20, 2021 : revised selected papers /
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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.
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based on 0 review(s)
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EB Q325.75 .I57 2021
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