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Discovering Symbolic Models from Deep Learning w/ Inductive Bias
A general approach to distill symbolic representations of a learned deep model by introducing strong inductive biases.
symbolic-models inductive-bias graph-neural-networks graphs
Stochastic Segmentation Networks
An efficient probabilistic method for modelling aleatoric uncertainty with any image segmentation network architecture.
image-segmentation health medical mri
Simple Pytorch Implementation of BYOL in Google Colab
BYOL: Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning (
byol self-supervised-learning latent-representations tutorial
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