15 citations · 34 across the 8 of their papers we have counts for
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3 papers · 1 filter
cs.CV2022★ 2 cited
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
Mazda Moayeri, Wenxiao Wang, Sahil Singla +1
We present a simple but effective method to measure and mitigate model biases caused by reliance on spurious cues. Instead of requiring costly changes to one's data or model traini…
cs.LG2022★ 1 cited
Improved techniques for deterministic l2 robustness
Sahil Singla, Soheil Feizi
Training convolutional neural networks (CNNs) with a strict 1-Lipschitz constraint under the norm is useful for adversarial robustness, interpretable gradients and stable t…
cs.CV2022★ 3 cited
Core Risk Minimization using Salient ImageNet
Sahil Singla, Mazda Moayeri, Soheil Feizi
Deep neural networks can be unreliable in the real world especially when they heavily use spurious features for their predictions. Recently, Singla & Feizi (2022) introduced the Sa…