Co-occurring keywords · papers mentioning both
Papers
Tackling covariate shift with node-based Bayesian neural networks
ICML 2022
Tractable Function-Space Variational Inference in Bayesian Neural Networks
NeurIPS 2022
Variational Model Perturbation for Source-Free Domain Adaptation
NeurIPS 2022
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition
AISTATS 2022
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling
ICML 2022
Wide Mean-Field Bayesian Neural Networks Ignore the Data
AISTATS 2022
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
ICML 2021
Activation-level uncertainty in deep neural networks
ICLR 2021
An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence
NeurIPS 2021
A statistical theory of cold posteriors in deep neural networks
ICLR 2021
Asymptotics of representation learning in finite Bayesian neural networks
NeurIPS 2021
Bayes DistNet - A Robust Neural Network for Algorithm Runtime Distribution Predictions
AAAI 2021
Bayesian Experience Reuse for Learning from Multiple Demonstrators
IJCAI 2021
Bayesian Inference with Certifiable Adversarial Robustness
AISTATS 2021
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression
CVPR 2021
Bayesian neural network unit priors and generalized Weibull-tail property
ACML 2021
Certification of iterative predictions in Bayesian neural networks
UAI 2021
Collapsed Variational Bounds for Bayesian Neural Networks
NeurIPS 2021
Continuous-time Model-based Reinforcement Learning
ICML 2021
Dangers of Bayesian Model Averaging under Covariate Shift
NeurIPS 2021
Deep kernel processes
ICML 2021
DIBS: Diversity Inducing Information Bottleneck in Model Ensembles
AAAI 2021
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect
NeurIPS 2021
Exact marginal prior distributions of finite Bayesian neural networks
NeurIPS 2021
Getting a CLUE: A Method for Explaining Uncertainty Estimates
ICLR 2021