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Youngsok Kim

2 accepted papers

2022

It's All in the Teacher: Zero-Shot Quantization Brought Closer to the Teacher

CVPR 2022oral

Model quantization is considered as a promising method to greatly reduce the resource requirements of deep neural networks. To deal with the performance drop induced by quantization errors, a popular method is to use training data to fine-tune quantized networks. In real-world environments, however,…

Cited by 46PDFcodeScholar
2021

Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples

NeurIPS 2021poster

Model quantization is known as a promising method to compress deep neural networks, especially for inferences on lightweight mobile or edge devices. However, model quantization usually requires access to the original training data to maintain the accuracy of the full-precision models, which is ofte…