1. Baevski A, Zhou H, Mohamed A, et al., 2020. wav2vec 2.0: a framework for self-supervised learning of speech representations. Proc 34th Conf on Neural Information Processing Systems.
2. Bonawitz K, Ivanov V, Kreuter B, et al., 2017. Practical secure aggregation for privacy-preserving machine learning. Proc ACM SIGSAC Conf on Computer and Communications Security, p.1175–1191. https://doi.org/10.1145/3133956.3133982
3. Chen T, Kornblith S, Norouzi M, et al., 2020. A simple framework for contrastive learning of visual representations. Proc 37th Int Conf on Machine Learning, Article 149.
4. Chen XL, Fan HQ, Girshick R, et al., 2020. Improved baselines with momentum contrastive learning. https://arxiv.org/abs/2003.04297
5. Coates A, Ng AY, Lee H, 2011. An analysis of single-layer networks in unsupervised feature learning. Proc 14th Int Conf on Artificial Intelligence and Statistics, p.215–223.