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.

blankThe AI for Robotics theme comprises work from multiple research groups.

Collaboration

global ai belt

NAVER Labs Europe is a hub of NAVER’s global AI R&D Belt, a network of centres of excellence in Korea, Japan, Vietnam & Europe. By collaborating with different partners we aim to make AI technology in South East Asia and Europe more competitive.

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
20 July 2021
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PRAIRIE and MIAI International Summer School 2020

PAISS has been postponed to 2021.
The next edition of this AI summer school will be held in Grenoble. Speakers are booked for next year!
17 January 2021
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ALPS – Advanced Language Processing winter school in the French Alps

17th -  22nd January 2021, Autrans, France Co-organized by LIG (University Grenoble Alpes) and NAVER LABS Europe, ALPS
22 September 2020
RecSys 2020

14th ACM Conference on Recommender Systems (RecSys 2020)

22nd - 26th September 2020
NAVER and NAVER LABS Europe are Gold Sponsors of the RecSys 2020.  
4 August 2020
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FORCE enables extreme pruning of artificial neural networks at initialization.

A new method called FORCE achieves extreme sparsity in artificial neural networks by progressively removing up to 99.9% of parameters at initialization, making it a promising candidate for training networks on edge devices (like drones or smartphones).
30 July 2020
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kapture – A unified data format to facilitate visual localization and structure from motion.

Announcing 'kapture' the open source release of a new SfM and visual localization data format. Available for ECCV2020 workshop challenge on visual localization.
17 July 2020
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Ten emerging topics at ACL 2020

ACL 2020 was held virtually the week of July 6th. As a combined industry/academic research team, we grouped information and papers on the topics we considered emerging at this year's conference.

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