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uncertainty estimation

769 papers

UE

Papers

Interacting Contour Stochastic Gradient Langevin Dynamics ICLR 2022 Introspective Learning : A Two-Stage approach for Inference in Neural Networks NeurIPS 2022 Laplace Approximation Based Epistemic Uncertainty Estimation in 3D Object Detection CoRL 2022 Laplacian Autoencoders for Learning Stochastic Representations NeurIPS 2022 Learning Optimal Conformal Classifiers ICLR 2022 Leveraging Self-Supervision for Cross-Domain Crowd Counting CVPR 2022 Low-Precision Stochastic Gradient Langevin Dynamics ICML 2022 Meta Learning Low Rank Covariance Factors for Energy Based Deterministic Uncertainty ICLR 2022 Modeling Aleatoric Uncertainty for Camouflaged Object Detection WACV 2022 NOMU: Neural Optimization-based Model Uncertainty ICML 2022 Not All Labels Are Equal: Rationalizing the Labeling Costs for Training Object Detection CVPR 2022 NP-Match: When Neural Processes meet Semi-Supervised Learning ICML 2022 On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks IJCAI 2022 On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization AISTATS 2022 Open-World Semi-Supervised Learning ICLR 2022 Orientation Estimation of Abdominal Ultrasound Images with Multi-Hypotheses Networks MIDL 2022 Out of Distribution Data Detection Using Dropout Bayesian Neural Networks AAAI 2022 PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures CVPR 2022 PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance ICML 2022 Prune and Tune Ensembles: Low-Cost Ensemble Learning with Sparse Independent Subnetworks AAAI 2022 QuaDUE-CCM: Interpretable Distributional Reinforcement Learning using Uncertain Contraction Metrics for Precise Quadrotor Trajectory Tracking CoRL 2022 Rethinking Negative Sampling for Handling Missing Entity Annotations ACL 2022 RIO: Rotation-Equivariance Supervised Learning of Robust Inertial Odometry CVPR 2022 Robust Depth Completion with Uncertainty-Driven Loss Functions AAAI 2022 Safe Active Learning for Multi-Output Gaussian Processes AISTATS 2022