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Found 5 papers, 2 papers with code
Neural Bootstrapping Attention for Neural Processes
Recently, Bootstrapping (Attentive) Neural Processes (B(A)NP) propose a bootstrap method to capture the functional uncertainty which can replace the latent variable in (Attentive) Neural Processes ((A)NP), thus overcoming the limitations of Gaussian assumption on the latent variable.
Neural Bootstrapper
Bootstrapping has been a primary tool for ensemble and uncertainty quantification in machine learning and statistics.
Scalable Neural Architecture Search for 3D Medical Image Segmentation
In this paper, a neural architecture search (NAS) framework is proposed for 3D medical image segmentation, to automatically optimize a neural architecture from a large design space.
Quantitative Phase Imaging and Artificial Intelligence: A Review
Recent advances in quantitative phase imaging (QPI) and artificial intelligence (AI) have opened up the possibility of an exciting frontier.
Neural Stain-Style Transfer Learning using GAN for Histopathological Images
Consequently our model does not only transfers initial stain-styles to the desired one but also prevent the degradation of tumor classifier on transferred images.
