Springer LNCS · 2022 · Conference paper · Author with a top-venue record

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, Yu Cao

Arizona State University · Oak Ridge National Laboratory · Pacific Northwest National Laboratory

Published in
Lecture notes in computer science
Date
2022-01-01
Citations
1
Cite
@inproceedings{sun2022selfsupervised,
  title = {Self-supervised Novelty Detection for Continual Learning: A Gradient-Based Approach Boosted by Binary Classification},
  author = {Jingbo Sun and Li Yang and Jiaxin Zhang and Frank Liu and Mahantesh Halappanavar and Deliang Fan and Yu Cao},
  year = {2022},
  booktitle = {Lecture notes in computer science},
  doi = {10.1007/978-3-031-17587-9_9},
  url = {https://doi.org/10.1007/978-3-031-17587-9_9},
}