Advances in diffusion models for image data augmentation: A review of methods, models, evaluation metrics and future research directions
Image data augmentation constitutes a critical methodology in modern computer vision
tasks, since it can facilitate towards enhancing the diversity and quality of training datasets; …
tasks, since it can facilitate towards enhancing the diversity and quality of training datasets; …
Counterfactual explanations via riemannian latent space traversal
The adoption of increasingly complex deep models has fueled an urgent need for insight
into how these models make predictions. Counterfactual explanations form a powerful tool …
into how these models make predictions. Counterfactual explanations form a powerful tool …
Neural Reasoning Networks: Efficient Interpretable Neural Networks With Automatic Textual Explanations
Recent advances in machine learning have led to a surge in adoption of neural networks for
various tasks, but lack of interpretability remains an issue for many others in which an …
various tasks, but lack of interpretability remains an issue for many others in which an …