Dynamic Task Subspace Ensemble for Class-Incremental Learning

Author:

Zhang Weile,He Yuanjian,Cong Yulai

Publisher

Springer Nature Singapore

Reference35 articles.

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2. Chaudhry, A., Khan, N., Dokania, P., Torr, P.: Continual learning in low-rank orthogonal subspaces. Adv. Neural. Inf. Process. Syst. 33, 9900–9911 (2020)

3. Cong, Y., Zhao, M., Li, J., Wang, S., Carin, L.: Gan memory with no forgetting. Adv. Neural. Inf. Process. Syst. 33, 16481–16494 (2020)

4. Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: Imagenet: a large-scale hierarchical image database. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp. 248–255. IEEE (2009)

5. Douillard, A., Ramé, A., Couairon, G., Cord, M.: Dytox: Transformers for continual learning with dynamic token expansion. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 9285–9295 (2022)

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