195 citations · 1k across the 35 of their papers we have counts for
5 papers · 1 filter
Known Unknowns: Uncertainty Quality in Bayesian Neural Networks
Ramon Oliveira, Pedro Tabacof, Eduardo Valle
We evaluate the uncertainty quality in neural networks using anomaly detection. We extract uncertainty measures (e.g. entropy) from the predictions of candidate models, use those m…
Adversarial Images for Variational Autoencoders
Pedro Tabacof, Julia Tavares, Eduardo Valle
We investigate adversarial attacks for autoencoders. We propose a procedure that distorts the input image to mislead the autoencoder in reconstructing a completely different target…
Towards Automated Melanoma Screening: Exploring Transfer Learning Schemes
Afonso Menegola, Michel Fornaciali, Ramon Pires +2
Deep learning is the current bet for image classification. Its greed for huge amounts of annotated data limits its usage in medical imaging context. In this scenario transfer learn…
Deep Neural Networks Under Stress
Micael Carvalho, Matthieu Cord, Sandra Avila +2
In recent years, deep architectures have been used for transfer learning with state-of-the-art performance in many datasets. The properties of their features remain, however, large…
Towards Automated Melanoma Screening: Proper Computer Vision & Reliable Results
Michel Fornaciali, Micael Carvalho, Flávia Vasques Bittencourt +2
In this paper we survey, analyze and criticize current art on automated melanoma screening, reimplementing a baseline technique, and proposing two novel ones. Melanoma, although hi…