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MarsQE: Semantic-Informed Quality Enhancement for Compressed Martian Image
Lossy image compression is essential for Mars exploration missions, due to the limited bandwidth between Earth and Mars.
Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data
In this paper, we study the confidence set prediction problem in the OOD generalization setting.
Generalization Bounds for Adversarial Contrastive Learning
Deep networks are well-known to be fragile to adversarial attacks, and adversarial training is one of the most popular methods used to train a robust model.
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