← Keywords

uncertainty quantification

1365 papers

Explore in graph

Also known as

UQ

Co-occurring keywords

uncertainty estimation (639) bayesian inference (1904) large language model (12755) conformal prediction (208) gaussian process (1198) variational inference (2069) out-of-distribution detection (611) epistemic uncertainty (156) neural network (6616) bayesian neural network (201)

Papers

A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation AAAI 2021
Learning Prediction Intervals for Model Performance AAAI 2021
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression AAAI 2021
Bayesian Distributional Policy Gradients AAAI 2021
Vector Quantized Bayesian Neural Network Inference for Data Streams AAAI 2021
Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach AAAI 2021
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes AAAI 2021
Perception Beyond Sensors Under Uncertainty AAAI 2021
Probabilistic Embeddings for Cross-Modal Retrieval CVPR 2021
Uncertainty-Aware Camera Pose Estimation From Points and Lines CVPR 2021
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression CVPR 2021
Probabilistic 3D Human Shape and Pose Estimation From Multiple Unconstrained Images in the Wild CVPR 2021
Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training EMNLP 2021
Beyond Accuracy: A Consolidated Tool for Visual Question Answering Benchmarking EMNLP 2021
Detecting Compositionally Out-of-Distribution Examples in Semantic Parsing EMNLP 2021
Calibrate your listeners! Robust communication-based training for pragmatic speakers EMNLP 2021
Uncertainty-Aware Machine Translation Evaluation EMNLP 2021
Uncertainty Quantification and Deep Ensembles NIPS 2021
Laplace Redux - Effortless Bayesian Deep Learning NIPS 2021
Neural Bootstrapper NIPS 2021
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression NIPS 2021
Uncertainty Calibration for Ensemble-Based Debiasing Methods NIPS 2021
Joint Inference for Neural Network Depth and Dropout Regularization NIPS 2021
Future Moment Assessment for Action Query WACV 2021
Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations WACV 2021