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PAC-Net: A Model Pruning Approach to Inductive Transfer Learning
Inductive transfer learning aims to learn from a small amount of training data for the target task by utilizing a pre-trained model from the source task.
Restructuring TCAD System: Teaching Traditional TCAD New Tricks
Traditional TCAD simulation has succeeded in predicting and optimizing the device performance; however, it still faces a massive challenge - a high computational cost.
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