3 August 2021
EBM podcast 2021

Energy Based Models – Podcast

Podcast & edited transcript on Energy Based Models (EBMs). Guests, Hady Elsahar and Marc Dymetman work on EBMs in the field of natural language and co-organised the ICLR 2021 workshop on EBMs.
15 July 2021
DCRL A new family of approaches to few-shot imitation

A new family of approaches to few-shot imitation

A new approach to learning few-shot imitation agents whereby you simply feed demonstrations of a new test task to the learned policy called DCRL. This new approach has several advantages.
8 July 2021

SPLADE – a sparse bi-encoder BERT-based model achieves effective and efficient first-stage ranking

A new sparse bi-encoder BERT-based model for effective and efficient first-stage ranking. The first to rival dense models.  
21 June 2021

Continual learning of visual representations without catastrophic forgetting

Using domain randomization and meta-learning, computer vision models forget less when exposed to training samples from new domains. Remembering is a crucial element in the deployment of self-driving cars and robots which interact in dynamic environments.
19 May 2021
Localization Datasets in Crowded Indoor Spaces

Releasing first of a kind large-scale localization datasets in crowded indoor spaces

NAVER LABS releases world's biggest visual localization dataset of indoor spaces with over 130K images. Dataset built with NAVER LABS mapping robots  M1X & COMET and available in unified data format kapture.
14 May 2021

Risk-sensitive robot navigation

Using a novel algorithm we explore how effectively a single policy, learned by reinforcement learning, can modulate robot behaviour from risk-averse to risk-neutral, so that robots can safely navigate everyday environments like homes and shops.
30 April 2021
a distributional approach to controlled text generation

Debiasing large pretrained language models using distributional control

A novel framework for controlled NLG called 'Generation with Distributional Control', achieves great generality on the types of constraints that can be imposed and has a large potential to remedy the problem of bias in language models.
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.

This web site uses cookies for the site search, to display videos and for aggregate site analytics.

Learn more about these cookies in our privacy notice.

Cookie settings

You may choose which kind of cookies you allow when visiting this website. Click on "Save cookie settings" to apply your choice.

FunctionalThis website uses functional cookies which are required for the search function to work and to apply for jobs and internships.

AnalyticalOur website uses analytical cookies to make it possible to analyse our website and optimize its usability.

Social mediaOur website places social media cookies to show YouTube and Vimeo videos. Cookies placed by these sites may track your personal data.