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SimPer: Self-Supervised Contrastive Learning for Periodic Data

SimPer is a self-supervised contrastive framework for learning periodic information in data, while improving data efficiency and generalization to distribution shifts. Check it out and copy the code → https://
goo.gle/3XZcFWC

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