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Continual Semi-Supervised Learning : First International Workshop, CSSL 2021, Virtual Event, August 19-20, 2021, Revised Selected Papers / edited by Fabio Cuzzolin, Kevin Cannons, Vincenzo Lomonaco.
SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 13418
- Lecture Notes in Artificial Intelligence, 2945-9141 ; 13418
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computer engineering.
- Computer networks.
- Education-Data processing.
- Social sciences-Data processing.
- Artificial Intelligence.
- Computer Engineering and Networks.
- Computers and Education.
- Computer Application in Social and Behavioral Sciences.
- Local Subjects:
- Artificial Intelligence.
- Computer Engineering and Networks.
- Computers and Education.
- Computer Application in Social and Behavioral Sciences.
- Physical Description:
- 1 online resource (XIII, 135 pages) : 47 illustrations, 43 illustrations in color.
- Edition:
- 1st edition 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2022.
- System Details:
- text file PDF
- Summary:
- 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.
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-031-17587-9
- 9783031175879
- Access Restriction:
- Restricted for use by site license.
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