Showing 1–18 of 18 results
/ Date/ Name
Apr 30, 2019Ensemble Distribution DistillationFeb 28, 2018Predictive Uncertainty Estimation via Prior NetworksMay 31, 2019Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial RobustnessJun 18, 2020Uncertainty in Gradient Boosting via EnsemblesSep 13, 2021Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search DegradationJun 20, 2020Regression Prior NetworksDec 6, 2018Prior Networks for Detection of Adversarial AttacksFeb 18, 2020Uncertainty Estimation in Autoregressive Structured PredictionMay 14, 2021Scaling Ensemble Distribution Distillation to Many Classes with Proxy TargetsJun 30, 2022Shifts 2.0: Extending The Dataset of Real Distributional ShiftsJul 15, 2021Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale TasksNov 15, 2023Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion SegmentationFeb 10, 2023Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for White Matter Lesion SegmentationFeb 27, 2023Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional ShiftsNov 24, 2020Ensemble Distillation Approaches for Grammatical Error CorrectionSep 9, 2021Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy PerformanceNov 9, 2022Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosisJun 29, 2021On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay