Craig Atkinson

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 9

Top Topics

Statistical Dependence

Action Selection

Incremental Learning

Top Venues

Publications

Lech Szymanski, Brendan McCane, Craig Atkinson
Conceptual complexity of neural networks. Neurocomputing 469 (2022)
Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins
Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting. Neurocomputing 428 (2021)
Lech Szymanski, Brendan McCane, Craig Atkinson
Conceptual capacity and effective complexity of neural networks. CoRR (2021)
Haitao Xu, Brendan McCane, Lech Szymanski, Craig Atkinson
MIME: Mutual Information Minimisation Exploration. CoRR (2020)
Lech Szymanski, Brendan McCane, Craig Atkinson
Switched linear projections and inactive state sensitivity for deep neural network interpretability. CoRR (2019)
Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins
GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal. CoRR (2019)
Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting. CoRR (2018)
Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins
Pseudo-Recursal: Solving the Catastrophic Forgetting Problem in Deep Neural Networks. CoRR (2018)
Craig Atkinson, Brendan McCane, Lech Szymanski
Increasing the accuracy of convolutional neural networks with progressive reinitialisation. IVCNZ (2017)