Universum-Inspired Supervised Contrastive Learning

Author:

Han Aiyang,Chen Songcan

Publisher

Springer Nature Switzerland

Reference36 articles.

1. Caron, M., Misra, I., Mairal, J., Goyal, P., Bojanowski, P., Joulin, A.: Unsupervised learning of visual features by contrasting cluster assignments. Adv. Neural. Inf. Process. Syst. 33, 9912–9924 (2020)

2. Carratino, L., Cissé, M., Jenatton, R., Vert, J.P.: On mixup regularization. arXiv preprint arXiv:2006.06049 (2020)

3. Chapelle, O., Agarwal, A., Sinz, F., Schölkopf, B.: An analysis of inference with the universum. In: Advances in Neural Information Processing Systems, vol. 20 (2007)

4. Chen, T., Kornblith, S., Norouzi, M., Hinton, G.: A simple framework for contrastive learning of visual representations. In: International Conference on Machine Learning, pp. 1597–1607. PMLR (2020)

5. Chen, X., Chen, S., Xue, H.: Universum linear discriminant analysis. Electron. Lett. 48(22), 1407–1409 (2012)

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