SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search

1 code implementation • NeurIPS 2021 • Qi Chen, Bing Zhao, Haidong Wang, Mingqin Li, Chuanjie Liu, Zengzhong Li, Mao Yang, Jingdong Wang

It stores the centroid points of the posting lists in the memory and the large posting lists in the disk.

SPANN: Highly-efficient Billion-scale Approximate Nearest Neighborhood Search

1 code implementation • NeurIPS 2021 • Qi Chen, Bing Zhao, Haidong Wang, Mingqin Li, Chuanjie Liu, Zengzhong Li, Mao Yang, Jingdong Wang

It stores the centroid points of the posting lists in the memory and the large posting lists in the disk.

DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation

no code implementations • ICLR 2021 • Minjia Zhang, Menghao Li, Chi Wang, Mingqin Li

Recently, the DL compiler, together with Learning to Compile has proven to be a powerful technique for optimizing deep learning models.

Decision Making Uncertainty Quantification

AdaTune: Adaptive Tensor Program Compilation Made Efficient

no code implementations • NeurIPS 2020 • Menghao Li, Minjia Zhang, Chi Wang, Mingqin Li

Deep learning models are computationally intense, and implementations often have to be highly optimized by experts or hardware vendors to be usable in practice.