uncertainty estimation

Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction NeurIPS 2021 Learning Prediction Intervals for Model Performance AAAI 2021 Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression CVPR 2021 Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search AAAI 2021 Masksembles for Uncertainty Estimation CVPR 2021 Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation ACL 2021 Moment Multicalibration for Uncertainty Estimation COLT 2021 Multi-Task Dense Retrieval via Model Uncertainty Fusion for Open-Domain Question Answering EMNLP 2021 Neural Ensemble Search for Uncertainty Estimation and Dataset Shift NeurIPS 2021 Neural ODE Processes ICLR 2021 Objects Are Different: Flexible Monocular 3D Object Detection CVPR 2021 Online Limited Memory Neural-Linear Bandits with Likelihood Matching ICML 2021 On the Calibration and Uncertainty of Neural Learning to Rank Models for Conversational Search EACL 2021 On the effects of quantisation on model uncertainty in Bayesian neural networks UAI 2021 Pixel-Wise Anomaly Detection in Complex Driving Scenes CVPR 2021 Probabilistic Embeddings for Cross-Modal Retrieval CVPR 2021 QEMind: Alibaba’s Submission to the WMT21 Quality Estimation Shared Task EMNLP 2021 Real-Time Uncertainty Estimation in Computer Vision via Uncertainty-Aware Distribution Distillation WACV 2021 Regressing Location on Text for Probabilistic Geocoding ACL 2021 Repulsive Deep Ensembles are Bayesian NeurIPS 2021 Robustness via Cross-Domain Ensembles ICCV 2021 Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets NeurIPS 2021 Self-supervised Out-of-distribution Detection for Cardiac CMR Segmentation MIDL 2021 Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation ACL 2021 Soft Calibration Objectives for Neural Networks NeurIPS 2021