Learning Transferable Knowledge Through Embedding Spaces

By Mohammad Rostami. 2019

9 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Serban Stan
2. Mohammad Rostami
3. Aram Galstyan
4. Zixuan Ke
5. David Isele
6. Gyuhak Kim
7. Liyuan Wang
8. Leonidas Spinoulas

Citations in the corpus

• Unsupervised Model Adaptation for Continual Semantic Segmentation (2020, background): “The core idea is that the image pixels that belong to each semantic class form a data cluster in a shared embedding space (Rostami 2019).”
• Sequential Unsupervised Domain Adaptation through Prototypical Distributions (2020, background): “An effective approach for domain adaptation is to align distributions of both domains by mapping data into a latent domain-invariant space [3, 4].”