15 citations · 15 across the 1 of their papers we have counts for
2 papers
cs.AI2019★ 15 cited
Probability Calibration for Knowledge Graph Embedding Models
Pedro Tabacof, Luca Costabello
Knowledge graph embedding research has overlooked the problem of probability calibration. We show popular embedding models are indeed uncalibrated. That means probability estimates…
cs.CV2018
Adversarial Attacks on Variational Autoencoders
George Gondim-Ribeiro, Pedro Tabacof, Eduardo Valle
Adversarial attacks are malicious inputs that derail machine-learning models. We propose a scheme to attack autoencoders, as well as a quantitative evaluation framework that correl…