26 citations · 37 across the 3 of their papers we have counts for
4 papers
Learning Invariances in Neural Networks
Gregory Benton, Marc Finzi, Pavel Izmailov +1
Invariances to translations have imbued convolutional neural networks with powerful generalization properties. However, we often do not know a priori what invariances are present i…
Trajectory Based Podcast Recommendation
Greg Benton, Ghazal Fazelnia, Alice Wang +1
Podcast recommendation is a growing area of research that presents new challenges and opportunities. Individuals interact with podcasts in a way that is distinct from most other me…
Rethinking Parameter Counting in Deep Models: Effective Dimensionality Revisited
Wesley J. Maddox, Gregory Benton, Andrew Gordon Wilson
Neural networks appear to have mysterious generalization properties when using parameter counting as a proxy for complexity. Indeed, neural networks often have many more parameters…
Function-Space Distributions over Kernels
Gregory W. Benton, Wesley J. Maddox, Jayson P. Salkey +2
Gaussian processes are flexible function approximators, with inductive biases controlled by a covariance kernel. Learning the kernel is the key to representation learning and stron…