no code implementations • 9 Sep 2023 • Sudeepta Mondal, Ganesh Sundaramoorthi
We propose a simple, efficient, and accurate method for detecting out-of-distribution (OOD) data for trained neural networks.
no code implementations • 12 Jul 2023 • Agnimitra Sengupta, Sudeepta Mondal, Adway Das, S. Ilgin Guler
In our paper, we have shown that normalization alters the training process of deep neural networks by controlling the model's complexity and reducing the risk of overfitting to the training data.