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cs.CV2022
Data-Centric Debugging: mitigating model failures via targeted data collection
Sahil Singla, Atoosa Malemir Chegini, Mazda Moayeri +1
Deep neural networks can be unreliable in the real world when the training set does not adequately cover all the settings where they are deployed. Focusing on image classification,…
cs.DS2022
Online and Bandit Algorithms Beyond Norms
Thomas Kesselheim, Marco Molinaro, Sahil Singla
Vector norms play a fundamental role in computer science and optimization, so there is an ongoing effort to generalize existing algorithms to settings beyond and $\el…