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Found 3 papers, 2 papers with code
Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation
Moreover, with the increasing data collected at the edge, this paradigm also fails to further adapt the cloud model for better performance.
Towards Efficient Task-Driven Model Reprogramming with Foundation Models
Moreover, the data used for pretraining foundation models are usually invisible and very different from the target data of downstream tasks.
Generative Low-bitwidth Data Free Quantization
More critically, our method achieves much higher accuracy on 4-bit quantization than the existing data free quantization method.
Ranked #2 on
Data Free Quantization
on CIFAR-100
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