Blog | NAVER LABS Europe
29 September 2021
Magnetic Sensor Based Localization

Magnetic sensor-based localization and deep learning

A novel approach to indoor localization that uses magnetic field data from smartphone sensors and deep learning
2021
30 August 2021
Learning Robot Manipulation Blog

Learning robot manipulation – modelling the reachable space of a robot and its inverse mapping

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.
2021
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.
2021
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.
2021
8 July 2021
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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.  
2021
21 June 2021
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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.
2021
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.
2021
14 May 2021
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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.
2021
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.
2021
20 April 2021
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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. 
2021
17 April 2021
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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.
2021
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.
2021

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