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cs.LG2020
Intriguing Properties of Contrastive Losses
Ting Chen, Calvin Luo, Lala Li
We study three intriguing properties of contrastive learning. First, we generalize the standard contrastive loss to a broader family of losses, and we find that various instantiati…
cs.LG2020★ 10 cited
Understanding Why Neural Networks Generalize Well Through GSNR of Parameters
Jinlong Liu, Guoqing Jiang, Yunzhi Bai +2
As deep neural networks (DNNs) achieve tremendous success across many application domains, researchers tried to explore in many aspects on why they generalize well. In this paper,…