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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.

Data and Resources

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

DOI retrieved: December 2, 2024

Additional Info

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Created December 2, 2024
Last update December 2, 2024
Author Xiaohu Tang
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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