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bayesian deep learning

68 papers

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Also known as

BDL

Co-occurring keywords

uncertainty quantification (1393) variational inference (2069) gaussian process (1200) predictive uncertainty (79) uncertainty estimation (648) variational autoencoder (1288) bayesian inference (1907) neural network (6616) convolutional neural network (4226) epistemic uncertainty (160)

Papers

Variational Information Bottleneck for Effective Low-Resource Audio Classification INTERSPEECH 2021
Laplace Redux - Effortless Bayesian Deep Learning NIPS 2021
Educational Question Mining At Scale: Prediction, Analysis and Personalization AAAI 2021
Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning AAAI 2021
Bayesian Deep Learning via Subnetwork Inference ICML 2021
UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks AAAI 2021
Active Learning for Bayesian 3D Hand Pose Estimation WACV 2021
Uncertainty-aware Self-training for Few-shot Text Classification NIPS 2020
Learnable Bernoulli Dropout for Bayesian Deep Learning AISTATS 2020
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC ICML 2020
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics AAAI 2020
Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End CVPR 2020
Bayesian Image Classification with Deep Convolutional Gaussian Processes AISTATS 2020
3D semi-supervised learning with uncertainty-aware multi-view co-training WACV 2020
Bayesian Methods for Semi-supervised Text Annotation COLING 2020
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates ICML 2020
How Good is the Bayes Posterior in Deep Neural Networks Really? ICML 2020
Stationary Activations for Uncertainty Calibration in Deep Learning NIPS 2020
Bayesian Deep Learning and a Probabilistic Perspective of Generalization NIPS 2020
Walsh-Hadamard Variational Inference for Bayesian Deep Learning NIPS 2020
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes AAAI 2020
Bayesian Learning of Probabilistic Dipole Inversion for Quantitative Susceptibility Mapping MIDL 2020
Quantifying Uncertainties in Natural Language Processing Tasks AAAI 2019
Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference ICCV 2019
Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model NIPS 2019