174 citations · 329 across the 13 of their papers we have counts for
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cs.LG2018
Teacher-Student Compression with Generative Adversarial Networks
Ruishan Liu, Nicolo Fusi, Lester Mackey
More accurate machine learning models often demand more computation and memory at test time, making them difficult to deploy on CPU- or memory-constrained devices. Teacher-student…
cs.LG2018
Gaussian Process Prior Variational Autoencoders
Francesco Paolo Casale, Adrian V Dalca, Luca Saglietti +2
Variational autoencoders (VAE) are a powerful and widely-used class of models to learn complex data distributions in an unsupervised fashion. One important limitation of VAEs is th…