A Theoretical Analysis of Metric Hypothesis Transfer Learning

By Michaël Perrot, Amaury Habrard. 2015

51 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. Mingsheng Long
2. Jianmin Wang
3. Michael I. Jordan
4. Jian Liang
5. Jiashi Feng
6. Yuchen Zhang
7. Dacheng Tao
8. Trevor Darrell

Citations in the corpus

• Data-Dependent Stability of Stochastic Gradient Descent (2017, background): “Orabona, 2013; Ben-David and Urner, 2013) and metric learning (Perrot and Habrard, 2015).”
• On Localized Discrepancy for Domain Adaptation (2020, background): “Kuzborskij and Orabona (2013); l Perrot and Habrard (2015); Du et al. (2017); Hanneke and Kpotufe (2019) study hypothesis transfer which learns from smaller target labeled data and auxiliary hypothesis.”