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Continual Semi-Supervised Learning

Overview of attention for book
Cover of 'Continual Semi-Supervised Learning'

Table of Contents

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    Book Overview
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    Chapter 1 International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines
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    Chapter 2 Unsupervised Continual Learning via Pseudo Labels
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    Chapter 3 Transfer and Continual Supervised Learning for Robotic Grasping Through Grasping Features
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    Chapter 4 Unsupervised Continual Learning via Self-adaptive Deep Clustering Approach
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    Chapter 5 Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments
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    Chapter 6 A Benchmark and Empirical Analysis for Replay Strategies in Continual Learning
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    Chapter 7 SPeCiaL: Self-supervised Pretraining for Continual Learning
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    Chapter 8 Distilled Replay: Overcoming Forgetting Through Synthetic Samples
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    Chapter 9 Self-supervised Novelty Detection for Continual Learning: A Gradient-Based Approach Boosted by Binary Classification
Attention for Chapter 9: Self-supervised Novelty Detection for Continual Learning: A Gradient-Based Approach Boosted by Binary Classification
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Readers on

mendeley
7 Mendeley
Summary
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Chapter title
Self-supervised Novelty Detection for Continual Learning: A Gradient-Based Approach Boosted by Binary Classification
Chapter number 9
Book title
Continual Semi-Supervised Learning
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-17587-9_9
Book ISBNs
978-3-03-117586-2, 978-3-03-117587-9
Authors

Sun, Jingbo, Yang, Li, Zhang, Jiaxin, Liu, Frank, Halappanavar, Mahantesh, Fan, Deliang, Cao, Yu

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 14%
Student > Ph. D. Student 1 14%
Unknown 5 71%
Readers by discipline Count As %
Unspecified 1 14%
Agricultural and Biological Sciences 1 14%
Engineering 1 14%
Unknown 4 57%

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