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Andrew Jesson
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Improving Deterministic Uncertainty Estimation in Deep Learning for Classification and Regression


Feb 22, 2021
Joost van Amersfoort, Lewis Smith, Andrew Jesson, Oscar Key, Yarin Gal

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Identifying Causal Effect Inference Failure with Uncertainty-Aware Models


Jul 01, 2020
Andrew Jesson, Sören Mindermann, Uri Shalit, Yarin Gal

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CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance


Jul 27, 2018
Andrew Jesson, Nicolas Guizard, Sina Hamidi Ghalehjegh, Damien Goblot, Florian Soudan, Nicolas Chapados

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* 20th International Conference on Medical Image Computing and Computer Assisted Intervention 2017 
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Adversarially Learned Mixture Model


Jul 14, 2018
Andrew Jesson, Cécile Low-Kam, Florian Soudan, Nicolas Chapados

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On the Importance of Attention in Meta-Learning for Few-Shot Text Classification


Jun 03, 2018
Xiang Jiang, Mohammad Havaei, Gabriel Chartrand, Hassan Chouaib, Thomas Vincent, Andrew Jesson, Nicolas Chapados, Stan Matwin

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* 13 pages, 4 figures, submitted to NIPS 
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