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04/15/2023
Non-Proportional Parametrizations for Stable Hypernetwork Learning
Hypernetworks are neural networks that generate the parameters of anothe...
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11/05/2022
SizeGAN: Improving Size Representation in Clothing Catalogs
Online clothing catalogs lack diversity in body shape and garment size. ...
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11/23/2020
When and Why Test-Time Augmentation Works
Test-time augmentation (TTA)—the aggregation of predictions across trans...
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03/08/2019
Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces
Classical deformable registration techniques achieve impressive results ...
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12/02/2018
Multiple Instance Learning for ECG Risk Stratification
In this paper, we apply a multiple instance learning paradigm to signal-...
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09/14/2018
