Kernelized Synaptic Weight Matrices

ICML 2018 Lorenz MullerJulien MartelGiacomo Indiveri

In this paper we introduce a novel neural network architecture, in which weight matrices are re-parametrized in terms of low-dimensional vectors, interacting through kernel functions. A layer of our network can be interpreted as introducing a (potentially infinitely wide) linear layer between input and output... (read more)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
Collaborative Filtering MovieLens 10M Sparse FC RMSE 0.769 # 7
Collaborative Filtering MovieLens 1M Sparse FC RMSE 0.824 # 1