conftrace_

model uncertainty

90 papers

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Co-occurring keywords

uncertainty quantification (1393) bayesian inference (1907) uncertainty estimation (648) neural network (6616) active learning (1301) data uncertainty (10) large language model (13587) gaussian process (1200) out-of-distribution detection (617) reinforcement learning (4352)

Papers

AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing ACL 2019
Accurate Layerwise Interpretable Competence Estimation NIPS 2019
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control NIPS 2019
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks ICML 2018
High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach ICML 2018
Gaussian Process Neural Networks for Speech Recognition INTERSPEECH 2018
Predictive Uncertainty Estimation via Prior Networks NIPS 2018
Deep Bayesian Active Learning with Image Data ICML 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning ICML 2016
Determinantal Regularization for Ensemble Variable Selection AISTATS 2016
Robust Trajectory Optimization Under Frictional Contact with Iterative Learning RSS 2015
Bayes-Adaptive Simulation-based Search with Value Function Approximation NIPS 2014
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search NIPS 2012
Free energy score space NIPS 2009
Bayesian Ensemble Learning NIPS 2006