Craig Atkinson

According to our database1, Craig Atkinson authored at least 8 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Conceptual complexity of neural networks.
Neurocomputing, 2022

2021
Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting.
Neurocomputing, 2021

Conceptual capacity and effective complexity of neural networks.
CoRR, 2021

2020
MIME: Mutual Information Minimisation Exploration.
CoRR, 2020

2019
GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal.
CoRR, 2019

Switched linear projections and inactive state sensitivity for deep neural network interpretability.
CoRR, 2019

2018
Pseudo-Recursal: Solving the Catastrophic Forgetting Problem in Deep Neural Networks.
CoRR, 2018

2017
Increasing the accuracy of convolutional neural networks with progressive reinitialisation.
Proceedings of the 2017 International Conference on Image and Vision Computing New Zealand, 2017


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