Linh M. Tran

Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness

2022 · arXiv (Cornell University)

Batch normalization (BN) is a ubiquitous technique for training deep neural networks that accelerates their convergence to reach higher accuracy. However, we demonstrate that BN comes with a fundamental drawback: it incentivizes the model to …

Solve fraud detection problem by using graph based learning methods

2019 · arXiv (Cornell University)

The credit cards' fraud transactions detection is the important problem in machine learning field. To detect the credit cards's fraud transactions help reduce the significant loss of the credit cards' holders and the banks. To …