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Papers
A geometric method for improved uncertainty estimation in real-time
UAI 2022
Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates
EMNLP 2022
Calibration of Machine Reading Systems at Scale
ACL 2022
Confidence-based Reliable Learning under Dual Noises
NeurIPS 2022
Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model
AAAI 2022
Distantly Supervised Named Entity Recognition via Confidence-Based Multi-Class Positive and Unlabeled Learning
ACL 2022
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination
NeurIPS 2022
Early Stopping Based on Unlabeled Samples in Text Classification
ACL 2022
Iterative Constrained Back-Translation for Unsupervised Domain Adaptation of Machine Translation
COLING 2022
Learning Confidence for Transformer-based Neural Machine Translation
ACL 2022
Modeling Aleatoric Uncertainty for Camouflaged Object Detection
WACV 2022
Show Your Faith: Cross-Modal Confidence-Aware Network for Image-Text Matching
AAAI 2022
Towards Improving Selective Prediction Ability of NLP Systems
ACL 2022
Towards Robust k-Nearest-Neighbor Machine Translation
EMNLP 2022
Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias
AAAI 2022
Are We Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection?
ICCV 2021
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example
AAAI 2021
Can NLI Models Verify QA Systems’ Predictions?
EMNLP 2021
Learning Accurate Dense Correspondences and When To Trust Them
CVPR 2021
Learning a Non-Blind Deblurring Network for Night Blurry Images
CVPR 2021
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning
ICLR 2021
Noisy-Labeled NER with Confidence Estimation
NAACL 2021
Over-MAP: Structural Attention Mechanism and Automated Semantic Segmentation Ensembled for Uncertainty Prediction
AAAI 2021
Pseudo-Loss Confidence Metric for Semi-Supervised Few-Shot Learning
ICCV 2021
Residual Energy-Based Models for End-to-End Speech Recognition
Interspeech 2021