189 citations · 272 across the 6 of their papers we have counts for
Showing 2020 · cs.LGShow all
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cs.LG2020
Neighbourhood Distillation: On the benefits of non end-to-end distillation
Laëtitia Shao, Max Moroz, Elad Eban +1
End-to-end training with back propagation is the standard method for training deep neural networks. However, as networks become deeper and bigger, end-to-end training becomes more…
cs.LG2020★ 4 cited
Fine-Grained Stochastic Architecture Search
Shraman Ray Chaudhuri, Elad Eban, Hanhan Li +2
State-of-the-art deep networks are often too large to deploy on mobile devices and embedded systems. Mobile neural architecture search (NAS) methods automate the design of small mo…