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12/20/2019
Probability Calibration for Knowledge Graph Embedding Models
Knowledge graph embedding research has overlooked the problem of probabi...
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06/12/2018
Adversarial Attacks on Variational Autoencoders
Adversarial attacks are malicious inputs that derail machine-learning mo...
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12/05/2016
Known Unknowns: Uncertainty Quality in Bayesian Neural Networks
We evaluate the uncertainty quality in neural networks using anomaly det...
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12/01/2016
Adversarial Images for Variational Autoencoders
We investigate adversarial attacks for autoencoders. We propose a proced...
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10/19/2015