Metric Learning and Manifolds: Preserving the Intrinsic Geometry

By Dominique C. Perrault-Joncas, Marina Meil. 2017

Subfields: Representation & Self-Supervised Learning

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In Representation & Self-Supervised Learning

1. Tania Bedrax-Weiss
2. Jeremiah Zhe Liu
3. Balaji Lakshminarayanan
4. Dustin Tran

Citations in the corpus

• Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness (2020, background): “Finally, it is worth noting that preserving such approximate isometry in a neural network is possible even after significant dimensionality reduction (Blum, 2006; Hauser and Ray, 2017; Perrault-Joncas, 2017; Rousseau et al., 2020).”