bayesian deep learning

Gradient-Based Uncertainty Attribution for Explainable Bayesian Deep Learning CVPR 2023 Robust and Adaptive Deep Learning via Bayesian Principles AAAI 2023 Self-Interpretable Time Series Prediction with Counterfactual Explanations ICML 2023 Width and Depth Limits Commute in Residual Networks ICML 2023 Adapting the Linearised Laplace Model Evidence for Modern Deep Learning ICML 2022 All You Need is a Good Functional Prior for Bayesian Deep Learning JMLR 2022 Bayesian Deep Embedding Topic Meta-Learner ICML 2022 Fast predictive uncertainty for classification with Bayesian deep networks UAI 2022 Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning NeurIPS 2022 Posterior Collapse of a Linear Latent Variable Model NeurIPS 2022 Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation CVPR 2022 Should We Trust This Summary? Bayesian Abstractive Summarization to The Rescue ACL 2022 The Neural Testbed: Evaluating Joint Predictions NeurIPS 2022 Active Learning for Bayesian 3D Hand Pose Estimation WACV 2021 Bayesian Deep Learning via Subnetwork Inference ICML 2021 Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning AAAI 2021 Educational Question Mining At Scale: Prediction, Analysis and Personalization AAAI 2021 Graph reparameterizations for enabling 1000+ Monte Carlo iterations in Bayesian deep neural networks UAI 2021 Laplace Redux - Effortless Bayesian Deep Learning NeurIPS 2021 UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks AAAI 2021 Variational Information Bottleneck for Effective Low-Resource Audio Classification Interspeech 2021 3D semi-supervised learning with uncertainty-aware multi-view co-training WACV 2020 Bayesian Deep Learning and a Probabilistic Perspective of Generalization NeurIPS 2020 Bayesian Image Classification with Deep Convolutional Gaussian Processes AISTATS 2020 Bayesian Learning of Probabilistic Dipole Inversion for Quantitative Susceptibility Mapping MIDL 2020