168 citations · 795 across the 28 of their papers we have counts for
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cs.CV2022★ 5 cited
How to Fine-Tune Vision Models with SGD
Ananya Kumar, Ruoqi Shen, Sebastien Bubeck +1
SGD and AdamW are the two most used optimizers for fine-tuning large neural networks in computer vision. When the two methods perform the same, SGD is preferable because it uses le…
cs.CV2022★ 1 cited
Neural-Sim: Learning to Generate Training Data with NeRF
Yunhao Ge, Harkirat Behl, Jiashu Xu +6
Training computer vision models usually requires collecting and labeling vast amounts of imagery under a diverse set of scene configurations and properties. This process is incredi…
cs.CV2022★ 2 cited
Generalization to translation shifts: a study in architectures and augmentations
Suriya Gunasekar
We study how effective data augmentation is at capturing the inductive bias of carefully designed network architectures for spatial translation invariance. We evaluate various imag…