Research - NAVER LABS Europe
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RESEARCH

Our technical expertise is enriched with a deep understanding of how people interact with technology.

Some of the big cross-disciplinary challenges we address:

Representation learning: turning all data entities (text, images, videos, web pages, emails, …) into semantically-rich representations to that can be efficiently processed, mined and related to each other.

Interactive learning: including the human in the learning loop to benefit from the complementary capabilities of humans and machines

Lifelong learning: exploring how to learn and manage prediction systems, policies or processes in a sustainable manner, i.e. in a manner that makes maximum reuse of previous experiences.

Machine reasoning: connecting existing pieces of knowledge to create new knowledge, e.g. being able to answer complex questions that require multiple supporting facts.

Decision making: learning how to make actionable decisions in uncertainty, especially in ever-changing environments

Agility: we live in an ever-changing world which means the technology we use must evolve in synergy with the people and business processes that touch it.

User centric: an important challenge in any technology is to the adoption by people. Only then does science become innovation. Our solutions are grounded in a deep understanding of how people work and how technology can help them every day.

Collaboration

Our scientists collaborate with national and international partners, academics and businesses to solve problems and invent technology and services that will have impact in the real world.

Discover how our research is recognized.

Research illustrating image woman and 2 man in front of computers
10 December 2019
IHM 2019

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".
8 December 2019
NeurIPS_2019_c

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

8th - 14th December 2019
We will present 2 orals and 2 workshop papers and are looking forward to meeting you at our booth.
4 December 2019
Filles et maths

“Filles et maths : une équation lumineuse” – an event to promote science careers for girls

4th December 2019
Vassilissa Lehoux will be there to encourage girls to pursue science and math careers.
8 November 2019
EMNLP blog image

EMNLP2019 – what we saw and liked

EMNLP 2019 was in Hong Kong and received a record-breaking number of submissions, but here is a very biased selection of what we liked from the things we saw.
30 October 2019

Predicting when Machine Learning Models Fail in Production

Reducing risks and advancing the decision-making process for Natural language Processing Models in production.
25 October 2019
VSLAM image

SLAMANTIC – Leveraging Semantics to Improve VSLAM in Dynamic Environments

Evaluating our method on public datasets, we show that it can successfully solve challenging situations in dynamic environments which cause state-of-the-art baseline VSLAM algorithms to fail and that it maintains performance on static scenes.

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