Abstract Model compression is a technique for transforming large neural network models into smaller ones. Knowledge distillation (KD) is a crucial model compression technique that involves transferring knowledge from a large teacher model to a lightweight student model. Existing knowledge distillation methods typically facilitate the knowledge transfer from teacher to student models i... https://countryscenesaddleryandpetsuppliers.shop/product-category/protection-boot-bag/
Counterclockwise block-by-block knowledge distillation for neural network compression
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