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bayesian neural network

260 papers

BNN

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