Interests: Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Catastrophic Forgetting, Visualising neural network's decision making
Craig's Publications
L. Szymanski, B. McCane and C. Atkinson. Conceptual complexity of neural networks. Neurocomputing, 469:52-64, 2022. 
@article{Szymanski.etal:2021,
title = {Conceptual complexity of neural networks},
journal = {Neurocomputing},
volume = {469},
pages = {52-64},
year = {2022},
issn = {0925-2312},
doi = {https://doi.org/10.1016/j.neucom.2021.10.063},
url = {https://doi.org/10.1016/j.neucom.2021.10.063},
author = {Lech Szymanski and Brendan McCane and Craig Atkinson},
keywords = {deep learning, learning theory, complexity measures},
}
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C. Atkinson, B. McCane, L. Szymanski and A. Robins. Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting. Neurocomputing, 428:291 - 307, 2021.
@article{atkinson2020pseudo,
title = "Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting",
journal = "Neurocomputing",
volume = "428",
pages = "291 - 307",
year = "2021",
issn = "0925-2312",
doi = "https://doi.org/10.1016/j.neucom.2020.11.050",
url = "http://www.sciencedirect.com/science/article/pii/S0925231220318439",
author = "Craig Atkinson and Brendan McCane and Lech Szymanski and Anthony Robins",
}
Bibtex has been copied to clipboard.
Bibtex has been copied to clipboard.
H. Xu, B. McCane, L. Szymanski and C. Atkinson. MIME: Mutual Information Minimisation Exploration. arXiv preprint arXiv:2001.05636, 2020.
@article{xu.etal:2020,
title={MIME: Mutual Information Minimisation Exploration},
author={Haitao Xu and
Brendan McCane and
Lech Szymanski and
Craig Atkinson},
journal={arXiv preprint arXiv:2001.05636},
url={https://arxiv.org/abs/2001.05636},
year={2020}
}
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L. Szymanski, B. McCane and C. Atkinson. Switched linear projections for neural network interpretability. arXiv preprint arXiv:1909.11275, 2020.
@article{lechszym.etal:2020,
title={Switched linear projections for neural network interpretability},
author={Szymanski, Lech and McCane, Brendan and Atkinson, Craig},
journal={arXiv preprint arXiv:1909.11275},
url={https://arxiv.org/abs/1909.11275},
year={2020}
}
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C. Atkinson, B. McCane, L. Szymanski and A. Robins. GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal. arXiv preprint arXiv:1911.11988, 2019.
@article{atkinson.etal:2019,
title={GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal},
author={Craig Atkinson and
Brendan McCane and
Lech Szymanski and
Anthony Robins},
journal={arXiv preprint arXiv:1911.11988},
url={https://arxiv.org/abs/1911.11988},
year={2019}
}
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C. Atkinson, B. McCane, L. Szymanski and A. Robins. Pseudo-recursal: Solving the catastrophic forgetting problem in deep neural networks. arXiv preprint arXiv:1802.03875, 2018.
@article{atkinson2018pseudo-recursal,
title={Pseudo-recursal: Solving the catastrophic forgetting problem in deep neural networks},
author={Atkinson, Craig and McCane, Brendan and Szymanski, Lech and Robins, Anthony},
journal={arXiv preprint arXiv:1802.03875},
url={https://arxiv.org/abs/1802.03875},
year={2018}
}
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C. Atkinson, B. McCane and L. Szymanski. Increasing the accuracy of convolutional neural networks with progressive reinitialisation. In 2017 International Conference on Image and Vision Computing New Zealand (IVCNZ), pp. 1-5, 2017.
@inproceedings{atkinson2017increasing,
title={Increasing the accuracy of convolutional neural networks with progressive reinitialisation},
author={Atkinson, Craig and McCane, Brendan and Szymanski, Lech},
booktitle={2017 International Conference on Image and Vision Computing New Zealand (IVCNZ)},
pages={1--5},
year={2017},
url={https://doi.org/10.1109/IVCNZ.2017.8402457},
organization={IEEE}
}
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