no code implementations • 22 Jan 2018 • Linbo Qiao, Tianyi Lin, Qi Qin, Xicheng Lu
In this paper, we propose a stochastic Primal-Dual Hybrid Gradient (PDHG) approach for solving a wide spectrum of regularized stochastic minimization problems, where the regularization term is composite with a linear function.
no code implementations • 10 Apr 2018 • Hao Yu, Zhaoning Zhang, Zheng Qin, Hao Wu, Dongsheng Li, Jun Zhao, Xicheng Lu
LRM is a general method for real-time detectors, as it utilizes the final feature map which exists in all real-time detectors to mine hard examples.
no code implementations • 11 Sep 2018 • Lei Guan, Linbo Qiao, Dongsheng Li, Tao Sun, Keshi Ge, Xicheng Lu
Support vector machines (SVMs) with sparsity-inducing nonconvex penalties have received considerable attentions for the characteristics of automatic classification and variable selection.
no code implementations • 24 Oct 2019 • Lei Guan, Wotao Yin, Dongsheng Li, Xicheng Lu
It allows the overlapping of the pipelines of multiple micro-batches, including those belonging to different mini-batches.
1 code implementation • 1 Dec 2023 • Lei Guan, Dongsheng Li, Jiye Liang, Wenjian Wang, Xicheng Lu
The key insight of our proposal is that we employ a weight prediction strategy in the forward pass to ensure that each mini-batch uses consistent and staleness-free weights to compute the forward pass.
1 code implementation • 26 Mar 2024 • Yilin Wang, Minghao Hu, Zhen Huang, Dongsheng Li, Dong Yang, Xicheng Lu
Previous methods for KGC re-ranking are mostly built on non-generative language models to obtain the probability of each candidate.