4 citations · 9 across the 3 of their papers we have counts for
3 papers
RaViTT: Random Vision Transformer Tokens
Felipe A. Quezada, Carlos F. Navarro, Cristian Muñoz +5
Vision Transformers (ViTs) have successfully been applied to image classification problems where large annotated datasets are available. On the other hand, when fewer annotations a…
Uncovering Bias in Face Generation Models
Cristian Muñoz, Sara Zannone, Umar Mohammed +1
Recent advancements in GANs and diffusion models have enabled the creation of high-resolution, hyper-realistic images. However, these models may misrepresent certain social groups…
Evaluating Explainability in Machine Learning Predictions through Explainer-Agnostic Metrics
Cristian Munoz, Kleyton da Costa, Bernardo Modenesi +1
The rapid integration of artificial intelligence (AI) into various industries has introduced new challenges in governance and regulation, particularly regarding the understanding o…