monte carlo dropout

Bayesian Posterior Approximation With Stochastic Ensembles CVPR 2023 GFlowOut: Dropout with Generative Flow Networks ICML 2023 Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors WACV 2023 Plausible Uncertainties for Human Pose Regression ICCV 2023 Probabilistic circuits that know what they don’t know UAI 2023 Simple and Efficient Confidence Score for Grading Whole Slide Images MIDL 2023 Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding EMNLP 2023 Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling AAAI 2023 Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction ACL 2023 With a Little Push, NLI Models can Robustly and Efficiently Predict Faithfulness ACL 2023 CrossQE: HW-TSC 2022 Submission for the Quality Estimation Shared Task EMNLP 2022 Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning ACL 2022 Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation COLING 2022 EasySED: Trusted Sound Event Detection with Self-Distillation AAAI 2022 Embedded Ensembles: infinite width limit and operating regimes AISTATS 2022 From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models EMNLP 2022 Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings ACL 2022 Self-distribution distillation: efficient uncertainty estimation UAI 2022 Should We Trust This Summary? Bayesian Abstractive Summarization to The Rescue ACL 2022 ULFRI at SemEval-2022 Task 4: Leveraging uncertainty and additional knowledge for patronizing and condescending language detection SemEval 2022 Uncertainty Calibration for Deep Audio Classifiers Interspeech 2022 Welocalize-ARC/NKUA’s Submission to the WMT 2022 Quality Estimation Shared Task EMNLP 2022 Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates EACL 2021 Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression CVPR 2021 Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning AAAI 2021