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Continual Semi-Supervised Learning

First International Workshop, CSSL 2021, Virtual Event, August 19–20, 2021, Revised Selected Papers

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Fabio Cuzzolin

    1. Oxford Brookes University, Oxford, UK

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  2. Kevin Cannons

    1. Huawei Technologies Canada Co., Ltd., Burnaby, Canada

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    You can also search for this editor in PubMed   Google Scholar

  3. Vincenzo Lomonaco

    1. University of Pisa, Pisa, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13418)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: CSSL 2021.

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Table of contents (9 papers)

  1. Front Matter

    Pages i-xiii
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  2. International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines

    • Ajmal Shahbaz, Salman Khan, Mohammad Asiful Hossain, Vincenzo Lomonaco, Kevin Cannons, Zhan Xu et al.
    Pages 1-14

  3. Unsupervised Continual Learning via Pseudo Labels

    • Jiangpeng He, Fengqing Zhu
    Pages 15-32

  4. Transfer and Continual Supervised Learning for Robotic Grasping Through Grasping Features

    • Luca Monorchio, Marco Capotondi, Mario Corsanici, Wilson Villa, Alessandro De Luca, Francesco Puja
    Pages 33-47

  5. Unsupervised Continual Learning via Self-adaptive Deep Clustering Approach

    • Mahardhika Pratama, Andri Ashfahani, Edwin Lughofer
    Pages 48-61

  6. Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments

    • Enrico Meloni, Alessandro Betti, Lapo Faggi, Simone Marullo, Matteo Tiezzi, Stefano Melacci
    Pages 62-74

  7. A Benchmark and Empirical Analysis for Replay Strategies in Continual Learning

    • Qihan Yang, Fan Feng, Rosa H. M. Chan
    Pages 75-90

  8. SPeCiaL: Self-supervised Pretraining for Continual Learning

    • Lucas Caccia, Joelle Pineau
    Pages 91-103

  9. Distilled Replay: Overcoming Forgetting Through Synthetic Samples

    • Andrea Rosasco, Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu
    Pages 104-117

  10. Self-supervised Novelty Detection for Continual Learning: A Gradient-Based Approach Boosted by Binary Classification

    • Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan et al.
    Pages 118-133

  11. Back Matter

    Pages 135-135
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  1. Continual Semi-Supervised Learning

Keywords

About this book

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.


Editors and Affiliations

  • Oxford Brookes University, Oxford, UK

    Fabio Cuzzolin

  • Huawei Technologies Canada Co., Ltd., Burnaby, Canada

    Kevin Cannons

  • University of Pisa, Pisa, Italy

    Vincenzo Lomonaco

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