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Found 2 papers, 2 papers with code
Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate
The student learners are trained by the main model and improve the main model to capture more generalizable and teachable correlations by providing feedback.
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective
The rapid development of large-scale deep learning models questions the affordability of hardware platforms, which necessitates the pruning to reduce their computational and memory footprints.
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