Uncertainty Quantification

Do Large Language Models Know What They Don’t Know? ACL 2023 Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection AAAI 2023 Efficient Out-of-Domain Detection for Sequence to Sequence Models ACL 2023 Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression ACL 2023 Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling MIDL 2023 Evidential Conditional Neural Processes AAAI 2023 Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti’s Theorem for Markov Chains ICML 2023 Faithful Heteroscedastic Regression with Neural Networks AISTATS 2023 Generative Calibration for In-context Learning EMNLP 2023 GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection CVPR 2023 Guided Deep Kernel Learning UAI 2023 HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation JMLR 2023 Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks ACL 2023 Improving Adaptive Conformal Prediction Using Self-Supervised Learning AISTATS 2023 Improving Expert Predictions with Conformal Prediction ICML 2023 Improving Selective Visual Question Answering by Learning From Your Peers CVPR 2023 Improving Training and Inference of Face Recognition Models via Random Temperature Scaling AAAI 2023 Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis AAAI 2023 Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach AISTATS 2023 Input uncertainty propagation through trained neural networks ICML 2023 Instance-Dependent Confidence and Early Stopping for Reinforcement Learning JMLR 2023 JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift ICML 2023 Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback EMNLP 2023 Kernel Conditional Moment Constraints for Confounding Robust Inference AISTATS 2023 Learning-augmented private algorithms for multiple quantile release ICML 2023