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Found 5 papers, 1 papers with code
Contextual Chart Generation for Cyber Deception
Honeyfiles are a type of honeypot that mimic real, sensitive documents, creating the illusion of the presence of valuable data.
Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions
In many real-world applications, from robotics to pedestrian trajectory prediction, there is a need to predict multiple real-valued outputs to represent several potential scenarios.
Masked Vector Quantization
Generative models with discrete latent representations have recently demonstrated an impressive ability to learn complex high-dimensional data distributions.
Diverse Multimedia Layout Generation with Multi Choice Learning
In the above example, this would form an unacceptable layout with a logo in the centre.
Is this IoT Device Likely to be Secure? Risk Score Prediction for IoT Devices Using Gradient Boosting Machines
Security risk assessment and prediction are critical for organisations deploying Internet of Things (IoT) devices.
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