Co-occurring keywords · papers mentioning both
Papers
BayesAdapter: Being Bayesian, Inexpensively and
Reliably, via Bayesian Fine-tuning
ACML 2022
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense
ICML 2022
Bayesian Neural Network Priors Revisited
ICLR 2022
Being a Bit Frequentist Improves Bayesian Neural Networks
AISTATS 2022
Black-box coreset variational inference
NeurIPS 2022
Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness
ICML 2022
Data augmentation in Bayesian neural networks and the cold posterior effect
UAI 2022
Efficient and transferable adversarial examples from bayesian neural networks
UAI 2022
Efficient Online Bayesian Inference for Neural Bandits
AISTATS 2022
End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural Networks
Interspeech 2022
Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation
NeurIPS 2022
Function-space Inference with Sparse Implicit Processes
ICML 2022
How Tempering Fixes Data Augmentation in Bayesian Neural Networks
ICML 2022
Improving Bayesian Neural Networks by Adversarial Sampling
AAAI 2022
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations
AISTATS 2022
Laplace Approximation Based Epistemic Uncertainty Estimation in 3D Object Detection
CoRL 2022
Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables
JMLR 2022
Nonlinear MCMC for Bayesian Machine Learning
NeurIPS 2022
On the detrimental effect of invariances in the likelihood for variational inference
NeurIPS 2022
On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks
ICLR 2022
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
NeurIPS 2022
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks
AAAI 2022
Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
NeurIPS 2022
Revisiting the Effects of Stochasticity for Hamiltonian Samplers
ICML 2022
Structured Stochastic Gradient MCMC
ICML 2022