119 citations · 170 across the 6 of their papers we have counts for
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cs.CV2021★ 2 cited
Shifting Transformation Learning for Out-of-Distribution Detection
Sina Mohseni, Arash Vahdat, Jay Yadawa
Detecting out-of-distribution (OOD) samples plays a key role in open-world and safety-critical applications such as autonomous systems and healthcare. Recently, self-supervised rep…
cs.LG2021★ 30 cited
See through Gradients: Image Batch Recovery via GradInversion
Hongxu Yin, Arun Mallya, Arash Vahdat +3
Training deep neural networks requires gradient estimation from data batches to update parameters. Gradients per parameter are averaged over a set of data and this has been presume…