32 citations · 94 across the 27 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.LG2022★ 26 cited
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities
Brian R. Bartoldson, Bhavya Kailkhura, Davis Blalock
Although deep learning has made great progress in recent years, the exploding economic and environmental costs of training neural networks are becoming unsustainable. To address th…
cs.LG2022
Models Out of Line: A Fourier Lens on Distribution Shift Robustness
Sara Fridovich-Keil, Brian R. Bartoldson, James Diffenderfer +2
Improving the accuracy of deep neural networks (DNNs) on out-of-distribution (OOD) data is critical to an acceptance of deep learning (DL) in real world applications. It has been o…