Continual and One-Shot Learning Through Neural Networks with Dynamic External Memory

By Benno Lüders, Mikkel Schläger, Aleksandra Korach, Sebastian Risi. 2017

25 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Jeff Clune
2. Roby Velez
3. Kagan Tumer
4. Shauharda Khadka
5. Kenneth O. Stanley
6. Joel Lehman
7. Rui Wang
8. Jean-Baptiste Mouret

In Electrical and Electronic Engineering

1. Jeff Clune
2. Kagan Tumer
3. Roby Velez
4. Shauharda Khadka
5. Kenneth O. Stanley

Citations in the corpus

• Diffusion-based neuromodulation can eliminate catastrophic forgetting in simple neural networks (2017, background): “Researchers have also evolved ANNs that have the ability to write data to memory on disk and read it back later through evolvable neural turing machines (ENTMs) [47].”
• Evolution-Guided Policy Gradient in Reinforcement Learning (2018, methodology): “The evolutionary framework used here is closely related to evolving neural networks, and is often referred to as neuroevolution [18, 33, 43, 52].”