3 papers
cs.LG2024
Conjugate-Gradient-like Based Adaptive Moment Estimation Optimization Algorithm for Deep Learning
Jiawu Tian, Liwei Xu, Xiaowei Zhang +1
Training deep neural networks is a challenging task. In order to speed up training and enhance the performance of deep neural networks, we rectify the vanilla conjugate gradient as…
cs.CV2023
Learning More Discriminative Local Descriptors for Few-shot Learning
Qijun Song, Siyun Zhou, Liwei Xu
Few-shot learning for image classification comes up as a hot topic in computer vision, which aims at fast learning from a limited number of labeled images and generalize over the n…
math.OC2022
Stochastic Gauss-Newton Algorithms for Online PCA
Siyun Zhou, Xin Liu, Liwei Xu
In this paper, we propose a stochastic Gauss-Newton (SGN) algorithm to study the online principal component analysis (OPCA) problem, which is formulated by using the symmetric low-…