2 citations · 2 across the 1 of their papers we have counts for
3 papers
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…
Learning Neural Network Subspaces
Mitchell Wortsman, Maxwell Horton, Carlos Guestrin +2
Recent observations have advanced our understanding of the neural network optimization landscape, revealing the existence of (1) paths of high accuracy containing diverse solutions…
Label Refinery: Improving ImageNet Classification through Label Progression
Hessam Bagherinezhad, Maxwell Horton, Mohammad Rastegari +1
Among the three main components (data, labels, and models) of any supervised learning system, data and models have been the main subjects of active research. However, studying labe…