Search Results for author:
Found 2 papers, 1 papers with code
Bi-discriminator Domain Adversarial Neural Networks with Class-Level Gradient Alignment
One prevalent solution is the bi-discriminator domain adversarial network, which strives to identify target domain samples outside the support of the source domain distribution and enforces their classification to be consistent on both discriminators.
On the Application of Data-Driven Deep Neural Networks in Linear and Nonlinear Structural Dynamics
For nonlinear dynamics, it is shown that sparsity in network layers is lost, and efficient DNNs architectures with fully-connected and convolutional network layers are explored.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
