Reduction of catastrophic forgetting with transfer learning and ternary output codes

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Diffusion-based neuromodulation can eliminate catastrophic forgetting in simple neural networks (2017, background): “In such a situation, any change to a group of nodes and connections to learn new information would cause forgetting because those nodes and connections most likely encoded for something else [14,15].”
Overcoming Catastrophic Forgetting in Convolutional Neural Networks by Selective Network Augmentation (2018, methodology): “There are already some well succeeded methods built to overcome the problem of catastrophic forgetting [5], [6], [7].”