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03/16/2020
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning
This paper studies the problem of post-hoc calibration of machine learni...
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12/16/2019
Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science
This paper describes a machine learning and data science pipeline for st...
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10/13/2019
Deep Probabilistic Kernels for Sample-Efficient Learning
Gaussian Processes (GPs) with an appropriate kernel are known to provide...
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01/05/2019
