A Momentum Loss Reweighting Method for Improving Recall

Author:

Jiang Chenzhi1ORCID,Jin Yin2ORCID,Wang Ningtao2ORCID,Wu Ruofan1ORCID,Fu Xing2ORCID,Wang Weiqiang2ORCID

Affiliation:

1. Tiansuan Lab, Ant Group, Shanghai, China

2. Tiansuan Lab, Ant Group, Hangzhou, China

Publisher

ACM

Reference28 articles.

1. Peter Brennan . 2012. A comprehensive survey of methods for overcoming the class imbalance problem in fraud detection . Institute of technology Blanchardstown Dublin , Ireland ( 2012 ). Peter Brennan. 2012. A comprehensive survey of methods for overcoming the class imbalance problem in fraud detection. Institute of technology Blanchardstown Dublin, Ireland (2012).

2. Kaidi Cao , Colin Wei , Adrien Gaidon , Nikos Arechiga , and Tengyu Ma. 2019. Learning imbalanced datasets with label-distribution-aware margin loss. Advances in neural information processing systems , Vol. 32 ( 2019 ). Kaidi Cao, Colin Wei, Adrien Gaidon, Nikos Arechiga, and Tengyu Ma. 2019. Learning imbalanced datasets with label-distribution-aware margin loss. Advances in neural information processing systems, Vol. 32 (2019).

3. Emerging Properties in Self-Supervised Vision Transformers

4. Xinlei Chen , Haoqi Fan , Ross Girshick , and Kaiming He. 2020. Improved baselines with momentum contrastive learning. arXiv preprint arXiv:2003.04297 ( 2020 ). Xinlei Chen, Haoqi Fan, Ross Girshick, and Kaiming He. 2020. Improved baselines with momentum contrastive learning. arXiv preprint arXiv:2003.04297 (2020).

5. Class-Balanced Loss Based on Effective Number of Samples

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