most citedRPTQ: Reorder-based Post-training Quantization for Large Language Models

20 citations · 23 across the 3 of their papers we have counts for

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cs.CV2023★ 2 cited

Improving Post-Training Quantization on Object Detection with Task Loss-Guided Lp Metric

Lin Niu, Jiawei Liu, Zhihang Yuan +3

Efficient inference for object detection networks is a major challenge on edge devices. Post-Training Quantization (PTQ), which transforms a full-precision model into low bit-width…

cs.CV2022★ 1 cited

Improve Ranking Correlation of Super-net through Training Scheme from One-shot NAS to Few-shot NAS

Jiawei Liu, Kaiyu Zhang, Weitai Hu +1

The algorithms of one-shot neural architecture search(NAS) have been widely used to reduce computation consumption. However, because of the interference among the subnets in which…