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09/23/2022
CUTS: A Fully Unsupervised Framework for Medical Image Segmentation
In this work we introduce CUTS (Contrastive and Unsupervised Training fo...
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06/23/2020
Image-to-image Mapping with Many Domains by Sparse Attribute Transfer
Unsupervised image-to-image translation consists of learning a pair of m...
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02/25/2019
TraVeLGAN: Image-to-image Translation by Transformation Vector Learning
Interest in image-to-image translation has grown substantially in recent...
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01/25/2019
Finding Archetypal Spaces for Data Using Neural Networks
Archetypal analysis is a type of factor analysis where data is fit by a ...
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01/24/2019
Generating and Aligning from Data Geometries with Generative Adversarial Networks
Unsupervised domain mapping has attracted substantial attention in recen...
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09/30/2018
Graph Spectral Regularization for Neural Network Interpretability
Deep neural networks can learn meaningful representations of data. Howev...
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05/25/2017
