confidence estimation

S3: Learnable Sparse Signal Superdensity for Guided Depth Estimation CVPR 2021 The Art of Abstention: Selective Prediction and Error Regularization for Natural Language Processing ACL 2021 Uncertainty-Aware Joint Salient Object and Camouflaged Object Detection CVPR 2021 Balancing Quality and Human Involvement: An Effective Approach to Interactive Neural Machine Translation AAAI 2020 Certifying Confidence via Randomized Smoothing NeurIPS 2020 Confidence-Aware Learning for Deep Neural Networks ICML 2020 Label Distribution for Learning with Noisy Labels IJCAI 2020 Learning to Cluster Faces via Confidence and Connectivity Estimation CVPR 2020 “None of the Above”: Measure Uncertainty in Dialog Response Retrieval ACL 2020 Non-Parametric Calibration for Classification AISTATS 2020 Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation ACL 2020 ProtoAttend: Attention-Based Prototypical Learning JMLR 2020 Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization NeurIPS 2020 Accurate Layerwise Interpretable Competence Estimation NeurIPS 2019 Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers ICLR 2019 Confidence-based Graph Convolutional Networks for Semi-Supervised Learning AISTATS 2019 Improving Back-Translation with Uncertainty-based Confidence Estimation EMNLP 2019 LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation CVPR 2019 Mitigating Noisy Inputs for Question Answering Interspeech 2019 Towards Reliable Learning for High Stakes Applications AAAI 2019 Confidence Modeling for Neural Semantic Parsing ACL 2018 CERN: Confidence-Energy Recurrent Network for Group Activity Recognition CVPR 2017 Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps CVPR 2017 ASR Confidence Estimation with Speaker-Adapted Recurrent Neural Networks Interspeech 2016 Confidence-Rated Multiple Instance Boosting for Object Detection CVPR 2014