1 code implementation • 24 May 2022 • Shangyu Wu, Yufei Cui, Jinghuan Yu, Xuan Sun, Tei-Wei Kuo, Chun Jason Xue
Based on the characteristics of the transformed keys, we propose a robust After-Flow Learned Index (AFLI).
1 code implementation • 30 Mar 2022 • Yu Mao, Yufei Cui, Tei-Wei Kuo, Chun Jason Xue
To ease this problem, this paper targets on cutting down the execution time of deep-learning-based compressors.
1 code implementation • CVPR 2021 • Yufei Cui, Yu Mao, Ziquan Liu, Qiao Li, Antoni B. Chan, Xue Liu, Tei-Wei Kuo, Chun Jason Xue
Nested dropout is a variant of dropout operation that is able to order network parameters or features based on the pre-defined importance during training.
no code implementations • 25 Sep 2019 • Yufei Cui, Wuguannan Yao, Qiao Li, Antoni Chan, Chun Jason Xue
In this work, assuming that the exact posterior or a decent approximation is obtained, we propose a generic framework to approximate the output probability distribution induced by model posterior with a parameterized model and in an amortized fashion.
1 code implementation • 29 May 2019 • Yufei Cui, Wuguannan Yao, Qiao Li, Antoni B. Chan, Chun Jason Xue
In this work, assuming that the exact posterior or a decent approximation is obtained, we propose a generic framework to approximate the output probability distribution induced by model posterior with a parameterized model and in an amortized fashion.
no code implementations • 5 Jun 2018 • Jianzhong Sheng, Chuanbo Chen, Chenchen Fu, Chun Jason Xue
Convolution operations dominate the overall execution time of Convolutional Neural Networks (CNNs).