Regularized Contrastive Learning of Semantic Search

Author:

Tan Mingxi,Rolland Alexis,Tian Andong

Publisher

Springer International Publishing

Reference25 articles.

1. Arora, S., Liang, Y., Ma, T.: A simple but tough-to-beat baseline for sentence embeddings. In: 5th International Conference on Learning Representations, ICLR, Conference Track Proceedings. OpenReview.net, Toulon, France (2017)

2. Zhou, W., Ge, T., Wei, F., Zhou, M., Xu, k.: Scheduled DropHead: a regularization method for transformer models. In: Findings of the Association for Computational Linguistics: EMNLP, pp. 1971–1980. Association for Computational Linguistics, Online (2020)

3. Anaby-Tavor, A., et al.: Not enough data? deep learning to the rescue! In: The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI, pp. 7383–7390 (2020)

4. Liu, Y., et al.: Roberta: a robustly optimized BERT pretraining approach. In: arXiv:1907.11692 (2019)

5. Song, K., Tan, X., Qin, T., Lu, J., Liu, T-Y.: MPNet: masked and permuted pre-training for language understanding. In: arXiv:2004.09297v2 (2020)

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