3 citations · 5 across the 6 of their papers we have counts for
3 papers · 1 filter
Mitigating Bias in Facial Analysis Systems by Incorporating Label Diversity
Camila Kolling, Victor Araujo, Adriano Veloso +1
Facial analysis models are increasingly applied in real-world applications that have significant impact on peoples' lives. However, as literature has shown, models that automatical…
Do Invariances in Deep Neural Networks Align with Human Perception?
Vedant Nanda, Ayan Majumdar, Camila Kolling +4
An evaluation criterion for safe and trustworthy deep learning is how well the invariances captured by representations of deep neural networks (DNNs) are shared with humans. We ide…
Component Analysis for Visual Question Answering Architectures
Camila Kolling, Jônatas Wehrmann, Rodrigo C. Barros
Recent research advances in Computer Vision and Natural Language Processing have introduced novel tasks that are paving the way for solving AI-complete problems. One of those tasks…