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Non-Generative Energy Based Models
Energy-based models (EBM) have become increasingly popular within computer vision.
Explain To Me: Salience-Based Explainability for Synthetic Face Detection Models
In this paper, we propose five novel methods of leveraging model salience to explain a model behavior at scale.
Improving Model's Focus Improves Performance of Deep Learning-Based Synthetic Face Detectors
Deep learning-based models generalize better to unknown data samples after being guided "where to look" by incorporating human perception into training strategies.
Dynamic network analysis improves protein 3D structural classification
Here, we propose for the first time a way to model 3D structures of proteins as dynamic PSNs, with the hypothesis that this will improve upon the current state-of-the-art PSC approaches that are based on static PSNs (and thus upon the existing state-of-the-art sequence and other 3D structural approaches).
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