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Record Nr. |
UNINA9910616207403321 |
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Titolo |
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 |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (148 pages) |
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Collana |
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Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 13418 |
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Disciplina |
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Soggetti |
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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 |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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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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Sommario/riassunto |
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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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