1. Aberdam, A., Litman, R., Tsiper, S., Anschel, O., Slossberg, R., Mazor, S., Manmatha, R., Perona, P., 2021. Sequence-to-sequence contrastive learning for text recognition. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVPR, pp. 15302–15312.
2. code2vec: Learning distributed representations of code;Alon;Proc. ACM Program. Lang.,2019
3. A comparison of different source code representation methods for vulnerability prediction in python;Bagheri,2021
4. Brain, D., Webb, G.I., 1999. On the effect of data set size on bias and variance in classification learning. In: Proceedings of the Fourth Australian Knowledge Acquisition Workshop, University of New South Wales. pp. 117–128.
5. Self-supervised contrastive learning for code retrieval and summarization via semantic-preserving transformations;Bui,2021