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Found 5 papers, 1 papers with code
Unsupervised 3D End-to-End Medical Image Registration with Volume Tweening Network
3D medical image registration is of great clinical importance.
Adversarial Examples for Natural Language Classification Problems
Modern machine learning algorithms are often susceptible to adversarial examples — maliciously crafted inputs that are undetectable by humans but that fool the algorithm into producing undesirable behavior.
Embryo staging with weakly-supervised region selection and dynamically-decoded predictions
First, noting that in each image the embryo occupies a small subregion, we jointly train a region proposal network with the downstream classifier to isolate the embryo.
Video Content Swapping Using GAN
These deep generative models provide away to utilize all the unlabeled images and videos online, since it can learn deep feature representations with unsupervised manner.
Quantifying and Understanding Adversarial Examples in Discrete Input Spaces
In this work, we seek to understand and extend adversarial examples across domains in which inputs are discrete, particularly across new domains, such as computational biology.
