Blog | NAVER LABS Europe
20 April 2021

NAVER LABS Europe @ EACL2021

Papers and activities of NAVER LABS Europe at EACL 2021. NLG, scaling to larger context, cost of supervised data, controlling the output plus ASR at the AfricaNLP workshop. 
17 April 2021

A scalable Transformer architecture for summarizing long documents

Our Global BERT-based Transformer architecture fuses global and local information at every layer, resulting in a reading comprehension model that achieves a deeper understanding for long documents and enables flexibility for downstream tasks.
31 March 2021
Methods for visual localization blog image

Methods for visual localization

Visual localization is used by robots and self-driving cars to estimate their position and in AR apps to interact with the physical world both indoors and out in the open. This article gives an overview of current state-of-the-art methods and their advantages and drawbacks.
10 March 2021
podcast Matthias Galle

NAVER LABS AI research in Europe – a podcast with lab manager Matthias Gallé

Podcast and transcript of Matthias Gallé, head of the NAVER research LAB in Europe who tells us what kind of research is going on in the labs in France and what it’s like to work there.
27 February 2021

Approaches to managing risk and high-level control in intelligent agents

Agents are becoming more artificially intelligent but a number of problems must be solved before we can unleash them into our physical world (i.e. robots) and trust them in our digital one.
18 December 2020
Blog Colbert Image

A white box analysis of ColBERT

By dissecting the matching process of the recent ColBERT model, we make a step towards unveiling the ranking properties of BERT-based ranking models and show that ColBERT (implicitly) learns a notion of term importance that correlates with IDF.
15 December 2020
RunAgead Blog Image

Running into the unknown with RunAhead

Running into the unknown with RunAhead: finding pleasant running tours and intuitively navigating through them. The use of combinatorial optimization and UX design, together with head-tracking technology, provides a non-intrusive way of helping runners to discover new itineraries.
9 December 2020
SuperLoss blog image

SuperLoss: Robust curriculum learning helps machines to learn like humans

A novel framework which uses individual sample losses as error measures to determine the relative difficulty of samples in a dataset. Can be plugged on top of existing neural network models to implement curriculum learning for any task, even with noisy datasets.
8 December 2020
Blog Image Constrastive Learning

Improving self-supervised representation learning by synthesizing challenging negatives

How harder negatives facilitate better and faster contrastive self-supervised learning and ways of synthesizing harder negative features on-the-fly.
7 December 2020
Julien Perez podcast

Robot learning workshop at NeurIPS2020 – podcast with Julien Perez

Podcast and transcript on 3rd Robot Learning Workshop at NeurIPS 2020 with Julien Perez, group lead machine learning and optimization at NAVER LABS Europe and co-organiser of the workshop.
24 November 2020
web image search blog image

Web image search gets better with graph neural networks

A new approach to image search uses images returned by traditional search methods as nodes in a graph neural network through which similarity signals are propagated, achieving improved ranking in cross-modal retrieval.
5 November 2020

A solution for greater algorithmic fairness in digital ranking systems

A new greedy, brute-force solution improves fairness in ranking and encompasses realistic scenarios with multiple, unknown protected groups.