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cs.LG2025
DiffGradCAM: A Class Activation Map Using the Full Model Decision to Solve Unaddressed Adversarial Attacks
Jacob Piland, Chris Sweet, Adam Czajka
Class Activation Mapping (CAM) and its gradient-based variants (e.g., GradCAM) have become standard tools for explaining Convolutional Neural Network (CNN) predictions. However, th…
cs.LG2023
Non-Generative Energy Based Models
Jacob Piland, Christopher Sweet, Priscila Saboia +2
Energy-based models (EBM) have become increasingly popular within computer vision. EBMs bring a probabilistic approach to training deep neural networks (DNN) and have been shown to…