Funder
National Natural Science Foundation of China
Natural Science Foundation of Beijing Municipality
Subject
Artificial Intelligence,Cognitive Neuroscience
Reference162 articles.
1. GP-tree: A Gaussian process classifier for few-shot incremental learning;Achituve,2021
2. Agarwal, A., Banerjee, B., Cuzzolin, F., & Chaudhuri, S. (2022). Semantics-Driven Generative Replay for Few-Shot Class Incremental Learning. In Proceedings of the 30th ACM international conference on multimedia (pp. 5246–5254).
3. Ahmad, T., Dhamija, A. R., Cruz, S., Rabinowitz, R., Li, C., Jafarzadeh, M., et al. (2022). Few-Shot Class Incremental Learning Leveraging Self-Supervised Features. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 3900–3910).
4. Ahmad, T., Dhamija, A. R., Jafarzadeh, M., Cruz, S., Rabinowitz, R., Li, C., et al. (2022). Variable Few Shot Class Incremental and Open World Learning. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR) workshops (pp. 3688–3699).
5. Subspace regularizers for few-shot class incremental learning;Akyürek,2022
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