Search Results for author:
Found 2 papers, 0 papers with code
On the Onset of Robust Overfitting in Adversarial Training
Adversarial Training (AT) is a widely-used algorithm for building robust neural networks, but it suffers from the issue of robust overfitting, the fundamental mechanism of which remains unclear.
A universal DNA computing model for solving NP-hard subset problems
Although DNA computing has been exploited to solve various intractable computational problems, such as the Hamiltonian path problem, SAT problem, and graph coloring problem, there has been little discussion of designing universal DNA computing-based models, which can solve a class of problems.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
