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Found 3 papers, 1 papers with code
Hybrid Graph Neural Networks for Few-Shot Learning
This is because they use an instance GNN as a label propagation/classification module, which is jointly meta-learned with a feature embedding network.
Robust Person Re-Identification by Modelling Feature Uncertainty
We aim to learn deep person re-identification (ReID) models that are robust against noisy training data.
Simple and Effective Stochastic Neural Networks
Stochastic neural networks (SNNs) are currently topical, with several paradigms being actively investigated including dropout, Bayesian neural networks, variational information bottleneck (VIB) and noise regularized learning.
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