Improving CNN-base Stock Trading By Considering Data Heterogeneity and Burst

no code implementations • 14 Mar 2023 • Keer Yang, Guanqun Zhang, Chuan Bi, Qiang Guan, Hailu Xu, Shuai Xu

In recent years, there have been quite a few attempts to apply intelligent techniques to financial trading, i. e., constructing automatic and intelligent trading framework based on historical stock price.

Revisit Kernel Pruning with Lottery Regulated Grouped Convolutions

1 code implementation • ICLR 2022 • Shaochen Zhong, Guanqun Zhang, Ningjia Huang, Shuai Xu

In this paper, we revisit the idea of kernel pruning (to only prune one or several $k \times k$ kernels out of a 3D-filter), a heavily overlooked approach under the context of structured pruning due to it will naturally introduce sparsity to filters within the same convolutional layer—thus, making the remaining network no longer dense.

Clustering Network Pruning