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uncertainty quantification

1365 papers

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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

PAC Prediction Sets for Meta-Learning NIPS 2022
Robust Calibration with Multi-domain Temperature Scaling NIPS 2022
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning NIPS 2022
Evidential Neighborhood Contrastive Learning for Universal Domain Adaptation AAAI 2022
Answer Uncertainty and Unanswerability in Multiple-Choice Machine Reading Comprehension ACL 2022
Efficient, Uncertainty-based Moderation of Neural Networks Text Classifiers ACL 2022
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings ACL 2022
Predicting scalar diversity with context-driven uncertainty over alternatives ACL 2022
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees NIPS 2022
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks AAAI 2022
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance ICML 2022
Low-Precision Stochastic Gradient Langevin Dynamics ICML 2022
Feature Space Particle Inference for Neural Network Ensembles ICML 2022
Q-Learning Scheduler for Multi Task Learning Through the use of Histogram of Task Uncertainty ACL 2022
Designing a Human-in-the-Loop System for Object Detection in Floor Plans AAAI 2022
Training on the Test Set: Mapping the System-Problem Space in AI AAAI 2022
Data-Driven Conditional Robust Optimization NIPS 2022
Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation NIPS 2022
Tractable Uncertainty for Structure Learning ICML 2022
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning AAAI 2022
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification NIPS 2022
Scalable Deep Gaussian Markov Random Fields for General Graphs ICML 2022
Stable Conformal Prediction Sets ICML 2022
Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees NIPS 2022
Sparse Additive Gaussian Process Regression JMLR 2022