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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.
A Novel Approach for Semiconductor Etching Process with Inductive Biases
The etching process is one of the most important processes in semiconductor manufacturing.
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