Effrosyni Kokiopoulou

Effrosyni Kokiopoulou

Efi is a research scientist at Google since February 2013. She joined Google as a PostDoc researcher in September 2011. Before that she was a postdoctoral research fellow at the Seminar for Applied Mathematics (SAM) at ETH, Zurich. She completed her PhD studies in December 2008 at the Signal Processing Laboratory (LTS4) of the Swiss Federal Institute of Technology (EPFL), Lausanne under the supervision of Prof. Pascal Frossard. Before that she was with the Computer Science & Engineering Department of the University of Minnesota, USA, where she obtained in June 2005 her M.Sc. degree under the supervision of Prof. Yousef Saad. She obtained B.Eng. and MscEng. degrees in 2002 and 2003 respectively at the Computer Engineering and Informatics Department of the University of Patras, Greece.
Authored Publications
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    Google
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information
Mark Patrick Collier
Rodolphe Jenatton
Jesse Berent
ICML 2021 Workshop on Uncertainty & Robustness in Deep Learning (2021) (to appear)
Deep Classifiers with Label Noise Modeling and Distance Awareness
Vincent Fortuin
Mark Patrick Collier
Florian Wenzel
James Urquhart Allingham
Jesse Berent
Rodolphe Jenatton
NeurIPS 2021 Workshop on Bayesian Deep Learning (2021) (to appear)
Correlated Input-Dependent Label Noise in Large-Scale Image Classification
Mark Patrick Collier
Basil Mustafa
Rodolphe Jenatton
Jesse Berent
CVPR 2021 (2021), pp. 1551-1560
Routing Networks with Co-training for Continual Learning
Mark Patrick Collier
Jesse Berent
ICML 2020 Workshop on Continual Learning (to appear)
Ranking architectures using meta-learning
Alina Dubatovka
Jesse Berent
NeurIPS Workshop on Meta-Learning (MetaLearn 2019) (to appear)