Anthony Robins, Professor

Interests: Catastrophic Forgetting, Deep Learning, Convolutional Neural Networks, Computational models of cognition

Anthony's Publications

C. Atkinson, B. McCane, L. Szymanski and A. Robins. Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting. Neurocomputing, 428:291 - 307, 2021. Copy bibtex to clipboard
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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. Copy bibtex to clipboard
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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. Copy bibtex to clipboard
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C. Gorman, A. Robins and A. Knott. Hopfield networks as a model of prototype-based category learning: A method to distinguish trained, spurious and prototypical attractors. Neural Networks, 2017. Copy bibtex to clipboard
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H. Walles, A. Robins and A. Knott. A perceptually grounded model of the singular-plural distinction. Language and Cognition, 6:1-43, 2014. Copy bibtex to clipboard
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H. Walles, A. Knott and A. Robins. A model of cardinality blindness in inferotemporal cortex. Biological Cybernetics, 98(5):427-437, 2008. Copy bibtex to clipboard
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More of Anthony's publications can be found here.