Blog | NAVER LABS Europe
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.
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.
4 August 2020
force blog image

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).
10 July 2020
artificial neural networks

The short memory of artificial neural networks

A overview of current research methods in lifelong learning (rehearse, grow, regularize), the advantages and drawback of each and where we see future work heading.
10 December 2018
NeurIPS 2018 - 3

NeurIPS 2018 – part 3/4 robotics and optimization

The Thirty-second Annual Conference on Neural Information Processing Systems Highlights of what we saw at this year’s conference