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31 Results
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Poster
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Wed 10:45 |
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness Andrey Malinin · Mark Gales |
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Poster
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Wed 10:45 |
Uncertainty on Asynchronous Time Event Prediction Marin Biloš · Bertrand Charpentier · Stephan Günnemann |
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Poster
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Wed 10:45 |
Accurate Layerwise Interpretable Competence Estimation Vickram Rajendran · William LeVine |
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Poster
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Wed 10:45 |
Reliable training and estimation of variance networks Nicki Skafte · Martin Jørgensen · Søren Hauberg |
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Poster
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Tue 10:45 |
AGEM: Solving Linear Inverse Problems via Deep Priors and Sampling Bichuan Guo · Yuxing Han · Jiangtao Wen |
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Poster
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Wed 10:45 |
Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees Muhammad Osama · Dave Zachariah · Peter Stoica |
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Poster
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Wed 10:45 |
Addressing Failure Prediction by Learning Model Confidence Charles Corbière · Nicolas THOME · Avner Bar-Hen · Matthieu Cord · Patrick Pérez |
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Poster
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Wed 10:45 |
Accurate Uncertainty Estimation and Decomposition in Ensemble Learning Jeremiah Liu · John Paisley · Marianthi-Anna Kioumourtzoglou · Brent Coull |
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Poster
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Wed 10:45 |
The Functional Neural Process Christos Louizos · Xiahan Shi · Klamer Schutte · Max Welling |
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Poster
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Wed 10:45 |
Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections Raanan Rohekar · Yaniv Gurwicz · Shami Nisimov · Gal Novik |
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Poster
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Thu 17:00 |
PAC-Bayes Un-Expected Bernstein Inequality Zakaria Mhammedi · Peter Grünwald · Benjamin Guedj |
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Poster
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Wed 10:45 |
Deep Gamblers: Learning to Abstain with Portfolio Theory Liu Ziyin · Zhikang Wang · Paul Pu Liang · Russ Salakhutdinov · Louis-Philippe Morency · Masahito Ueda |