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10 Results
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Poster
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Tue 9:00 |
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic Mikael Henaff · Alfredo Canziani · Yann LeCun |
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Poster
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Thu 14:30 |
Feed-forward Propagation in Probabilistic Neural Networks with Categorical and Max Layers Alexander (Oleksandr) Shekhovtsov · Boris Flach |
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Poster
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Thu 14:30 |
Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers Yonatan Geifman · Guy Uziel · Ran El-Yaniv |
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Poster
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Thu 14:30 |
Amortized Bayesian Meta-Learning Sachin Ravi · Alex Beatson |
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Poster
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Thu 14:30 |
Bayesian Policy Optimization for Model Uncertainty Gilwoo Lee · Brian Hou · Aditya Mandalika · Jeongseok Lee · Sanjiban Choudhury · Siddhartha Srinivasa |
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Poster
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Thu 14:30 |
Modeling Uncertainty with Hedged Instance Embeddings Seong Joon Oh · Andrew Gallagher · Kevin Murphy · Florian Schroff · Jiyan Pan · Joseph Roth |
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Poster
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Wed 14:30 |
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks · Mantas Mazeika · Thomas Dietterich |
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Poster
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Thu 14:30 |
Function Space Particle Optimization for Bayesian Neural Networks Ziyu Wang · Tongzheng Ren · Jun Zhu · Bo Zhang |
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Poster
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Sun 0:15 |
Keynote #5: Jonas Pfeiffer – Google DeepMind Eric Nalisnick · Akihiro Matsukawa · Yee Whye Teh · Dilan Gorur · Balaji Lakshminarayanan |
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Poster
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Sun 2:00 |
Panel discussions Lynton Ardizzone · Jakob Kruse · Carsten Rother · Ullrich Koethe |