25 citations · 85 across the 36 of their papers we have counts for
5 papers · 1 filter
Implicit bias of deep linear networks in the large learning rate phase
Wei Huang, Weitao Du, Richard Yi Da Xu +1
Most theoretical studies explaining the regularization effect in deep learning have only focused on gradient descent with a sufficient small learning rate or even gradient flow (in…
RGB-IR Cross-modality Person ReID based on Teacher-Student GAN Model
Ziyue Zhang, Shuai Jiang, Congzhentao Huang +2
RGB-Infrared (RGB-IR) person re-identification (ReID) is a technology where the system can automatically identify the same person appearing at different parts of a video when light…
On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization
Wei Huang, Weitao Du, Richard Yi Da Xu
The prevailing thinking is that orthogonal weights are crucial to enforcing dynamical isometry and speeding up training. The increase in learning speed that results from orthogonal…
Time-varying neural network for stock return prediction
Steven Y. K. Wong, Jennifer Chan, Lamiae Azizi +1
We consider the problem of neural network training in a time-varying context. Machine learning algorithms have excelled in problems that do not change over time. However, problems…
Illumination adaptive person reid based on teacher-student model and adversarial training
Ziyue Zhang, Richard YD Xu, Shuai Jiang +3
Most existing works in Person Re-identification (ReID) focus on settings where illumination either is kept the same or has very little fluctuation. However, the changes in the illu…