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31 Results
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Poster
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Wed 10:45 |
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks Sunil Thulasidasan · Gopinath Chennupati · Jeffrey A Bilmes · Tanmoy Bhattacharya · Sarah Michalak |
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Poster
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Wed 10:45 |
Likelihood Ratios for Out-of-Distribution Detection Jie Ren · Peter Liu · Emily Fertig · Jasper Snoek · Ryan Poplin · Mark Depristo · Joshua Dillon · Balaji Lakshminarayanan |
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Poster
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Wed 10:45 |
Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift Jasper Snoek · Yaniv Ovadia · Emily Fertig · Balaji Lakshminarayanan · Sebastian Nowozin · D. Sculley · Joshua Dillon · Jie Ren · Zachary Nado |
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Poster
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Wed 10:45 |
Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration Meelis Kull · Miquel Perello Nieto · Markus Kängsepp · Telmo Silva Filho · Hao Song · Peter Flach |
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Poster
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Thu 17:00 |
Attribution-Based Confidence Metric For Deep Neural Networks Susmit Jha · Sunny Raj · Steven Fernandes · Sumit K Jha · Somesh Jha · Brian Jalaian · Gunjan Verma · Ananthram Swami |
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Poster
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Thu 10:45 |
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates Carlos Riquelme · Hugo Penedones · Damien Vincent · Hartmut Maennel · Sylvain Gelly · Timothy A Mann · Andre Barreto · Gergely Neu |
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Poster
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Tue 17:30 |
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model Atilim Gunes Baydin · Lei Shao · Wahid Bhimji · Lukas Heinrich · Saeid Naderiparizi · Andreas Munk · Jialin Liu · Bradley Gram-Hansen · Gilles Louppe · Lawrence Meadows · Philip Torr · Victor Lee · Kyle Cranmer · Mr. Prabhat · Frank Wood |