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04/27/2023
One-Step Distributional Reinforcement Learning
Reinforcement learning (RL) allows an agent interacting sequentially wit...
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09/05/2022
ScaleFace: Uncertainty-aware Deep Metric Learning
The performance of modern deep learning-based systems dramatically depen...
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02/07/2022
NUQ: Nonparametric Uncertainty Quantification for Deterministic Neural Networks
This paper proposes a fast and scalable method for uncertainty quantific...
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09/30/2020
EWS-GCN: Edge Weight-Shared Graph Convolutional Network for Transactional Banking Data
In this paper, we discuss how modern deep learning approaches can be app...
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03/06/2020
Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampled Implicit Ensembles
Modern machine learning models usually do not extrapolate well, i.e., th...
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01/23/2020