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LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup

The dataset used in the paper is not explicitly described. However, it is mentioned that the authors used a range of datasets, including CIFAR-10, GTSRB, Google Speech Command, SVHN, UTKFace, and ImageNet.

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Cite this as

Xiaohu Tang, Ting Cao, State Key Lab of CAD&CG, Microsoft Research, Zhejiang University, Microsoft Research, Li Lyna Zhang, Microsoft Research, Qi Chen, Microsoft Research, Deng Cai, State Key Lab of CAD&CG, Zhejiang University, Yunxin Liu, Institute for AI Industry Research, Tsinghua University, Mao Yang, Microsoft Research (2024). Dataset: LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup. https://doi.org/10.57702/b8nunyvp

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Author	Xiaohu Tang
More Authors	Ting Cao State Key Lab of CAD&CG Microsoft Research Zhejiang University Microsoft Research Li Lyna Zhang Microsoft Research Qi Chen Microsoft Research Deng Cai State Key Lab of CAD&CG Zhejiang University Yunxin Liu Institute for AI Industry Research Tsinghua University Mao Yang Microsoft Research
Homepage	https://doi.org/10.1145/3570361.3613285