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06/25/2022
Multi-Variate Time Series Forecasting on Variable Subsets
We formulate a new inference task in the domain of multivariate time ser...
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07/25/2021
Distributional Shifts in Automated Diabetic Retinopathy Screening
Deep learning-based models are developed to automatically detect if a re...
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02/09/2021
Adversarially Robust Classifier with Covariate Shift Adaptation
Existing adversarially trained models typically perform inference on tes...
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10/20/2020
Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples
Among existing uncertainty estimation approaches, Dirichlet Prior Networ...
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04/05/2020
Approximate Manifold Defense Against Multiple Adversarial Perturbations
Existing defenses against adversarial attacks are typically tailored to ...
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05/14/2018