International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC) 2020 - Naver Labs Europe
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1st – 4th September 2020

The International Symposium on Symbolic and Numeric Algorithms for Scientific Computing is an international conference that aims to stimulate the interaction between the two scientific communities of symbolic and numeric computing and to exhibit interesting applications of the areas both in theory and in practice.

 SYNASC 2020 will be organized as an online conference.

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Gabriela Csurka portraitInvited speaker: Gabriela Csurka

Recent Trends in Domain Adaptation for Visual Applications

Abstract: The aim of this talk will be to give an overview of visual domain adaptation methods. First, I will briefly recall historical shallow methods. Then, I will discuss different manners to exploit deep convolutional architectures in visual domain adaptation, focusing on image categorization. In the last part of my talk, I will overview recent trends in domain adaptation, including deep discriminative models, adversarial and encoder-decoder based models, network parameter adaptation methods, semi-supervised and curriculum learning based models.  I will present methods proposed in the literature for image classification, semantic segmentation, object detection and others.