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Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #35
Accurate Layerwise Interpretable Competence Estimation
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #36
Accurate Uncertainty Estimation and Decomposition in Ensemble Learning
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #37
Addressing Failure Prediction by Learning Model Confidence
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #38
Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #39
Calibration tests in multi-class classification: A unifying framework
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #40
Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #41
Computing Full Conformal Prediction Set with Approximate Homotopy
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #42
Conformalized Quantile Regression
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #43
Deep Gamblers: Learning to Abstain with Portfolio Theory
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #44
Likelihood Ratios for Out-of-Distribution Detection
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #45
Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #46
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians
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Paper]
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3 min Video]
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #47
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #48
Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #49
Reliable training and estimation of variance networks
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #50
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #51
Single-Model Uncertainties for Deep Learning
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #52
The Functional Neural Process
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #53
Uncertainty on Asynchronous Time Event Prediction
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #54
Verified Uncertainty Calibration