← 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

Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization CVPR 2021
Meta-Learning Reliable Priors in the Function Space NIPS 2021
Repulsive Deep Ensembles are Bayesian NIPS 2021
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification NIPS 2021
Linear-Time Probabilistic Solution of Boundary Value Problems NIPS 2021
Fairness in Ranking under Uncertainty NIPS 2021
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting NIPS 2021
Black Box Probabilistic Numerics NIPS 2021
Periodic Activation Functions Induce Stationarity NIPS 2021
Conformal Time-series Forecasting NIPS 2021
Sparse Uncertainty Representation in Deep Learning with Inducing Weights NIPS 2021
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models NIPS 2021
Deep Neural Networks as Point Estimates for Deep Gaussian Processes NIPS 2021
Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence NIPS 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification NIPS 2021
An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence NIPS 2021
Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration NIPS 2021
Bayesian Bellman Operators NIPS 2021
Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks NIPS 2021
Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification NIPS 2021
Bootstrapping the Error of Oja's Algorithm NIPS 2021
Probability Paths and the Structure of Predictions over Time NIPS 2021
BayesIMP: Uncertainty Quantification for Causal Data Fusion NIPS 2021
Deep Recurrent Belief Propagation Network for POMDPs AAAI 2021
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging AAAI 2021