DARPA-funded generative AI tool, "DiffProtect" creates realistic images that fool facial recognition systems and enhance user ...
Existing out-of-distribution (OOD) detection methods without outlier exposure learn effective in-distribution (ID) representations distinguishable for OOD samples, showing promising performance in ...
Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test accuracy is very low, the model highly overfits the training dataset set ...
ABSTRACT: The rapid proliferation of the Internet of Things (IoT) and Industrial IoT (IIoT) has revolutionized industries through enhanced connectivity and automation. However, this expansion has ...
Abstract: Regularization of inverse problems is of paramount importance in computational imaging. The ability of neural networks to learn efficient image representations has been recently exploited to ...
LOS ANGELES − The expansion of the animal-style empire continues apace as California burger purveyor In-N-Out appears set to open at least seven new locations. Four of the new locations will be in the ...
This repository contains the code for our paper MAGMA: Manifold Regularization for MAEs (Alin Dondera, Anuj Singh, Hadi Jamali-Rad). MAGMA is a novel regularization technique that enhances ...