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IEEE/ICACT20230035 Slide.13        [Big Slide]       [YouTube]	Oral Presentation
	In the importance weight regularization module, each batch of samples is automatically divided into two groups, the high-importance group and the low-importance group. We count the data volume of incoming high-weight and low-weight samples separately. We can compute the model's training loss ℒ_𝐼𝑊𝑅 by computing the resulting mean and the trainable parameter ¥ì.

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