activity
20132021
most citedPathNet: Evolution Channels Gradient Descent in Super Neural Networks

643 citations · 893 across the 4 of their papers we have counts for

collaborators

10 papers

cs.AI2021

Generative Art Using Neural Visual Grammars and Dual Encoders

Chrisantha Fernando, S. M. Ali Eslami, Jean-Baptiste Alayrac +3

Whilst there are perhaps only a few scientific methods, there seem to be almost as many artistic methods as there are artists. Artistic processes appear to inhabit the highest orde…

cs.AI2020

From Language Games to Drawing Games

Chrisantha Fernando, Daria Zenkova, Stanislav Nikolov +1

We attempt to automate various artistic processes by inventing a set of drawing games, analogous to the approach taken by emergent language research in inventing communication game…

cs.MA2018

Evolving intrinsic motivations for altruistic behavior

Jane X. Wang, Edward Hughes, Chrisantha Fernando +3

Multi-agent cooperation is an important feature of the natural world. Many tasks involve individual incentives that are misaligned with the common good, yet a wide range of organis…

cs.NE2018

Meta-Learning by the Baldwin Effect

Chrisantha Thomas Fernando, Jakub Sygnowski, Simon Osindero +6

The scope of the Baldwin effect was recently called into question by two papers that closely examined the seminal work of Hinton and Nowlan. To this date there has been no demonstr…

cs.LG2017249 cited

Population Based Training of Neural Networks

Max Jaderberg, Valentin Dalibard, Simon Osindero +9

Neural networks dominate the modern machine learning landscape, but their training and success still suffer from sensitivity to empirical choices of hyperparameters such as model a…

cs.NE2017643 cited

PathNet: Evolution Channels Gradient Descent in Super Neural Networks

Chrisantha Fernando, Dylan Banarse, Charles Blundell +5

For artificial general intelligence (AGI) it would be efficient if multiple users trained the same giant neural network, permitting parameter reuse, without catastrophic forgetting…