A generalization bound based on a new feature-label distortion concept guides optimization of feature alignment versus target fitting in cross-modal adaptation and yields better empirical performance.
[Yes, see Appendix H] (b) All the training details (e.g., data splits, hy- perparameters, how they were chosen)
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Rethinking Cross-Modal Fine-Tuning: Optimizing the Interaction Between Feature Alignment and Target Fitting
A generalization bound based on a new feature-label distortion concept guides optimization of feature alignment versus target fitting in cross-modal adaptation and yields better empirical performance.