10 March 2021
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.
2021
27 February 2021
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.
2021
9 December 2020
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.
2020
4 August 2020
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).
2020
10 July 2020
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.
2020
10 December 2018
The Thirty-second Annual Conference on Neural Information Processing Systems Highlights of what we saw at this year’s conference
2018