uncertainty estimation

Word-Level Uncertainty Estimation for Black-Box Text Classifiers using RNNs COLING 2020 Accurate Uncertainty Estimation and Decomposition in Ensemble Learning NeurIPS 2019 Acoustic Model Bootstrapping Using Semi-Supervised Learning Interspeech 2019 Active Generative Adversarial Network for Image Classification AAAI 2019 Analyzing and Improving Representations with the Soft Nearest Neighbor Loss ICML 2019 Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers ICLR 2019 Building Trust in Deep Learning System towards Automated Disease Detection AAAI 2019 Can You Trust This Prediction? Auditing Pointwise Reliability After Learning AISTATS 2019 Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels NeurIPS 2019 Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning IJCAI 2019 Deep Factors for Forecasting ICML 2019 Face Alignment With Kernel Density Deep Neural Network ICCV 2019 FUNCTIONAL VARIATIONAL BAYESIAN NEURAL NETWORKS ICLR 2019 Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation ICCV 2019 Hierarchical Discrete Distribution Decomposition for Match Density Estimation CVPR 2019 HyperGAN: A Generative Model for Diverse, Performant Neural Networks ICML 2019 Improving Back-Translation with Uncertainty-based Confidence Estimation EMNLP 2019 Incremental Learning from Scratch for Task-Oriented Dialogue Systems ACL 2019 Learning to Caption Images Through a Lifetime by Asking Questions ICCV 2019 Learning to request guidance in emergent language EMNLP 2019 Meta-Learning with Latent Embedding Optimization ICLR 2019 Modelling Uncertainty in Collaborative Document Quality Assessment EMNLP 2019 Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic ICLR 2019 MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation ICCV 2019 MRI k-Space Motion Artefact Augmentation: Model Robustness and Task-Specific Uncertainty MIDL 2019