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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

How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control ICML 2023
Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes ICML 2023
Distribution Free Prediction Sets for Node Classification ICML 2023
Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction ACL 2023
Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model NIPS 2023
Probabilistic Exponential Integrators NIPS 2023
Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach ACL 2023
Input uncertainty propagation through trained neural networks ICML 2023
PAC Prediction Sets for Large Language Models of Code ICML 2023
Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression ACL 2023
R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents ICML 2023
Conformal Prediction with Missing Values ICML 2023
Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition AISTATS 2023
dugMatting: Decomposed-Uncertainty-Guided Matting ICML 2023
Federated Conformal Predictors for Distributed Uncertainty Quantification ICML 2023
CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift NIPS 2023
Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods NIPS 2023
Mind the Biases: Quantifying Cognitive Biases in Language Model Prompting ACL 2023
SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process ICML 2023
Uncertainty Estimation for Molecules: Desiderata and Methods ICML 2023
Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments ICML 2023
Calibration by Distribution Matching: Trainable Kernel Calibration Metrics NIPS 2023
Beyond In-Domain Scenarios: Robust Density-Aware Calibration ICML 2023
Uncertainty-aware Unsupervised Video Hashing AISTATS 2023
JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift ICML 2023