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ORCIDCSSL 2021: Virtual Event
- Fabio Cuzzolin
, Kevin Cannons, Vincenzo Lomonaco:
Continual Semi-Supervised Learning - First International Workshop, CSSL 2021, Virtual Event, August 19-20, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13418, Springer 2022, ISBN 978-3-031-17586-2 - Ajmal Shahbaz, Salman Khan, Mohammad Asiful Hossain, Vincenzo Lomonaco, Kevin Cannons, Zhan Xu, Fabio Cuzzolin:
International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines. 1-14 - Jiangpeng He, Fengqing Zhu:
Unsupervised Continual Learning via Pseudo Labels. 15-32 - Luca Monorchio, Marco Capotondi, Mario Corsanici, Wilson Villa, Alessandro De Luca, Francesco Puja:
Transfer and Continual Supervised Learning for Robotic Grasping Through Grasping Features. 33-47 - Mahardhika Pratama, Andri Ashfahani, Edwin Lughofer:
Unsupervised Continual Learning via Self-adaptive Deep Clustering Approach. 48-61 - Enrico Meloni, Alessandro Betti, Lapo Faggi, Simone Marullo, Matteo Tiezzi, Stefano Melacci:
Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments. 62-74 - Qihan Yang, Fan Feng, Rosa H. M. Chan:
A Benchmark and Empirical Analysis for Replay Strategies in Continual Learning. 75-90 - Lucas Caccia, Joelle Pineau:
SPeCiaL: Self-supervised Pretraining for Continual Learning. 91-103 - Andrea Rosasco, Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu:
Distilled Replay: Overcoming Forgetting Through Synthetic Samples. 104-117 - Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao:
Self-supervised Novelty Detection for Continual Learning: A Gradient-Based Approach Boosted by Binary Classification. 118-133
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