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Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models
To remedy this, most robust fine-tuning methods aim to preserve the pre-trained features.
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Adaptive Contextual Perception: How to Generalize to New Backgrounds and Ambiguous Objects
Motivated by our analysis results, we propose new data augmentation methods aimed at enhancing model generalization.
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.68)
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