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Found 3 papers, 1 papers with code
Co-training and Co-distillation for Quality Improvement and Compression of Language Models
2) The enhanced performance of the larger model further boosts the performance of the smaller model.
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models
Distillation from Weak Teacher (DWT) is a method of transferring knowledge from a smaller, weaker teacher model to a larger student model to improve its performance.
Discovering Characteristic Landmarks on Ancient Coins using Convolutional Networks
We also propose a new framework to recognize the Roman coins which exploits hierarchical structure of the ancient Roman coins using the state-of-the-art classification power of the CNNs adopted to a new task of coin classification.
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