monte carlo dropout

How Certain is Your Transformer? EACL 2021 HW-TSC’s Participation at WMT 2021 Quality Estimation Shared Task EMNLP 2021 Uncertainty-Aware Machine Translation Evaluation EMNLP 2021 Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification Interspeech 2020 Ensemble of Students Taught by Probabilistic Teachers to Improve Speech Emotion Recognition Interspeech 2020 Exploring Model Consensus to Generate Translation Paraphrases ACL 2020 Probabilistic Object Detection: Definition and Evaluation WACV 2020 Uncertainty-aware Self-training for Few-shot Text Classification NeurIPS 2020 Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning MIDL 2020 Can You Trust This Prediction? Auditing Pointwise Reliability After Learning AISTATS 2019 Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams ICLR 2019 Prediction of Disease Progression in Multiple Sclerosis Patients using Deep Learning Analysis of MRI Data MIDL 2019 Sampling-Free Epistemic Uncertainty Estimation Using Approximated Variance Propagation ICCV 2019 Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches ICLR 2018 The Power of Ensembles for Active Learning in Image Classification CVPR 2018 Incorporating Uncertainty into Deep Learning for Spoken Language Assessment ACL 2017