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Found 3 papers, 1 papers with code
Cognitive resilience: Unraveling the proficiency of image-captioning models to interpret masked visual content
This study explores the ability of Image Captioning (IC) models to decode masked visual content sourced from diverse datasets.
Flexible and efficient spatial extremes emulation via variational autoencoders
In this paper, we aim to push the boundaries on computation and modeling of high-dimensional spatial extremes via integrating a new spatial extremes model that has flexible and non-stationary dependence properties in the encoding-decoding structure of a variational autoencoder called the XVAE.
Input Perturbation: A New Paradigm between Central and Local Differential Privacy
By adding noise to the original training data and training with the `perturbed data', we achieve ($\epsilon$,$\delta$)-differential privacy on the final model, along with some kind of privacy on the original data.
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