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] :
edited by Fabio Cuzzolin, Kevin Cannons, Vincenzo Lomonaco.
- 1st ed. 2022.
- XIII, 135 p. 47 illus., 43 illus. in color. online resource.
- Lecture Notes in Artificial Intelligence, 13418 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 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.
9783031175879
10.1007/978-3-031-17587-9 doi
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.
Q334-342 TA347.A78
006.3
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.
9783031175879
10.1007/978-3-031-17587-9 doi
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.
Q334-342 TA347.A78
006.3