most citedCBQ: Cross-Block Quantization for Large Language Models

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cs.CV2024

Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution

Simiao Li, Yun Zhang, Wei Li +5

Knowledge distillation (KD) is a promising yet challenging model compression technique that transfers rich learning representations from a well-performing but cumbersome teacher mo…

cs.CV2023★ 1 cited

Data Upcycling Knowledge Distillation for Image Super-Resolution

Yun Zhang, Wei Li, Simiao Li +6

Knowledge distillation (KD) compresses deep neural networks by transferring task-related knowledge from cumbersome pre-trained teacher models to compact student models. However, cu…