26 citations · 27 across the 3 of their papers we have counts for
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cs.LG2022★ 26 cited
Hybridised Loss Functions for Improved Neural Network Generalisation
Matthew C. Dickson, Anna S. Bosman, Katherine M. Malan
Loss functions play an important role in the training of artificial neural networks (ANNs), and can affect the generalisation ability of the ANN model, among other properties. Spec…
cs.LG2020★ 1 cited
A survey of benchmarking frameworks for reinforcement learning
Belinda Stapelberg, Katherine M. Malan
Reinforcement learning has recently experienced increased prominence in the machine learning community. There are many approaches to solving reinforcement learning problems with ne…