Search Results for author:
Found 2 papers, 0 papers with code
On Good Practices for Task-Specific Distillation of Large Pretrained Models
Large pretrained visual models exhibit remarkable generalization across diverse recognition tasks.
SLACK: Stable Learning of Augmentations with Cold-start and KL regularization
Data augmentation is known to improve the generalization capabilities of neural networks, provided that the set of transformations is chosen with care, a selection often performed manually.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
