
Cross-Architecture Transfer Learning (XATL) can significantly reduce the training time and improve the performance of Low-Cost Inference (LCI) Transformer models by directly transferring compatible weights from pre-trained Transformer models, without the need to train the LCI models from scratch.


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efficient-cross-architecture-transfer-learning-for-low-cost-inference-transformer-models


Efficient Cross-Architecture Transfer Learning for Low-Cost Inference Transformer Models
