Scholar
Shell Xu Hu
Google Scholar ID: jU7nGnEAAAAJ
Samsung AI Center - Cambridge
Citations & Impact
Citations
2,303
H-index
14
i10-index
16
Publications
20
Co-authors
0
Publications
Resume
Academic Achievements
- - Paper 'Empirical Bayes Transductive Meta-Learning with Synthetic Gradients' accepted by ICLR 2020
- - Paper 'Empirical Bayes Meta-Learning with Synthetic Gradients' accepted by MetaLearn 2019
- - Paper 'Variational Information Distillation for Knowledge Transfer' accepted by CVPR 2019
- - Paper 'beta-BNN: A Rate-Distortion Perspective on Bayesian Neural Networks' accepted by NeurIPS-BDL 2018
- - Paper 'Variational Mutual Information Distillation for Transfer Learning' accepted by NeurIPS-CL 2018
- - Paper 'SDCA-Powered Inexact Dual Augmented Lagrangian Method for Fast CRF Learning' accepted by AISTATS 2018
Research Experience
- - Research Scientist at Samsung AI Center Cambridge
- - Postdoc under the NINAI project and CTO of Upload AI
- - Visiting scholar at KU Leuven (Johan Suykens' group)
- - Applied scientist intern at Amazon Cambridge (supervised by Andreas Damianou)
Education
- PhD from IMAGINE lab, École des Ponts ParisTech, supervised by Guillaume Obozinski and Nikos Komodakis.
Background
- Research interests include machine learning, deep learning, and Bayesian methods. Currently a research scientist at Samsung AI Center Cambridge. Previously, a postdoc under the NINAI project and appointed CTO of Upload AI.
Miscellany
- Personal interests not mentioned