2 citations · 3 across the 3 of their papers we have counts for
3 papers
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training
Anchit Jain, Rozhin Nobahari, Aristide Baratin +1
Machine learning systems often acquire biases by leveraging undesired features in the data, impacting accuracy variably across different sub-populations. Current understanding of b…
Do Explanations Explain? Model Knows Best
Ashkan Khakzar, Pedram Khorsandi, Rozhin Nobahari +1
It is a mystery which input features contribute to a neural network's output. Various explanation (feature attribution) methods are proposed in the literature to shed light on the…
Towards Deep Learning Models Resistant to Large Perturbations
Amirreza Shaeiri, Rozhin Nobahari, Mohammad Hossein Rohban
Adversarial robustness has proven to be a required property of machine learning algorithms. A key and often overlooked aspect of this problem is to try to make the adversarial nois…