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About NAVER LABS Europe
NEWS
university_Prague

Thirty-third Conference on Neural Information Processing Systems (NeurIPS | 2019 )

8th - 14th December 2019 We will present 2 orals and 3 workshop papers, are on the WiML mentorship table and are looking forward to meeting you at our booth.
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university_Prague

IHM 2019 31e conférence Francophone sur l’Interaction Homme-Machine

10th - 13th December 2019 Grenoble, France. NAVER LABS Europe is Gold Sponsor of the 31st "Conférence Francophone sur l'Interaction Homme-Machine".
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university_Prague

Caroline Brun, Seminar at the ERIC Data Intelligence Laboratory, Lyon

16th December 2019, eric, Université Lumière Lyon 2, Caroline Brun: Extraction faiblement supervisée d’informations fines dans des contenus textuels générés par les utilisateurs
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RECENT PUBLICATIONS

R2D2: Repeatable and Reliable Detector and Descriptor

Jérome Revaud, Cesar Roberto De Souza, Philippe Weinzaepfel, Martin Humenberger
Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada, 8-14 December, 2019

Mobile Recommendation within a Strong Privacy Oriented Paradigm

Denys Proux, Frédéric Roulland
3rd ACM SIGSPATIAL Workshop on Location-based, Recommendations, Geosocial Networks and Geoadvertizing, Chicago, USA, 5 November, 2019

Machine Translation of Restaurant Reviews: New Corpus for Domain Adaptation and Robustness

Alexandre Berard, Ioan Calapodescu, Marc Dymetman, Claude Roux, Jean-Luc Meunier, Vassilina Nikoulina, Bulent Sariyildiz
Workshop on Neural Generation and Translation (WNGT), EMNLP, Hong Kong, China, 4 November, 2019

Convolution, attention and structure embedding

Jean-Marc Andreoli
Graph Representation Learning Workshop at NeurIPS 2019, Vancouver, British Columbia, Canada, 08-14 December 2019
BLOG
13 December 2019
, - 13 December 2019

Towards understanding human actions out-of-context with the Mimetics dataset

Workshop on methods and measures for explainability and trustworthiness of machine learning pipelines
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6 December 2019
, - 6 December 2019

Explainability Matters in Machine Learning Pipelines

Workshop on methods and measures for explainability and trustworthiness of machine learning pipelines
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4 December 2019
, , Cesar De Souza, - 4 December 2019

R2D2: Repeatable and Reliable Detector and Descriptor

Combining keypoint reliability in an image as part of the keypoint detection problem significantly improves feature matching.
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PARTNERS

RESEARCH – EU/GOVT – BUSINESS – ENTREPRENEURS

Our partnerships range from long-term fundamental research to investment in products and services.

Partners