Learning such models via adversarial training demands extensive labeled data and high model capacity, making it impractical in evolving, resource-constrained threat environments. Transfer learning (TL ...

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Transfer Learning for Reinforcement Learning Domains: A Survey. Matthew E. Taylor and Peter Stone. Journal of Machine Learning Research, 10(1):1633–1685, 2009.

Contrastive learning is a powerful self-supervised technique for domain adaptation (DA) in PyTorch. It trains models to bring similar samples (positive pairs) closer and push different samples ...

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