13 citations · 24 across the 5 of their papers we have counts for
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cs.LG2021★ 2 cited
LCS: Learning Compressible Subspaces for Adaptive Network Compression at Inference Time
Elvis Nunez, Maxwell Horton, Anish Prabhu +3
When deploying deep learning models to a device, it is traditionally assumed that available computational resources (compute, memory, and power) remain static. However, real-world…
cs.LG2019
Discovering Neural Wirings
Mitchell Wortsman, Ali Farhadi, Mohammad Rastegari
The success of neural networks has driven a shift in focus from feature engineering to architecture engineering. However, successful networks today are constructed using a small an…