32 citations · 44 across the 3 of their papers we have counts for
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cs.LG2020★ 5 cited
Not all Failure Modes are Created Equal: Training Deep Neural Networks for Explicable (Mis)Classification
Alberto Olmo, Sailik Sengupta, Subbarao Kambhampati
Deep Neural Networks are often brittle on image classification tasks and known to misclassify inputs. While these misclassifications may be inevitable, all failure modes cannot be…
cs.LG2018★ 7 cited
Imagining an Engineer: On GAN-Based Data Augmentation Perpetuating Biases
Niharika Jain, Lydia Manikonda, Alberto Olmo Hernandez +2
The use of synthetic data generated by Generative Adversarial Networks (GANs) has become quite a popular method to do data augmentation for many applications. While practitioners c…