conftrace_

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

Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences CVPR 2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning NIPS 2019
Practical Deep Learning with Bayesian Principles NIPS 2019
Bayesian Deep Collaborative Matrix Factorization AAAI 2019
Fast generalization error bound of deep learning from a kernel perspective AISTATS 2018
Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study EMNLP 2018
SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient NIPS 2018
Learning Structural Weight Uncertainty for Sequential Decision-Making AISTATS 2018
Global SNR Estimation of Speech Signals Using Entropy and Uncertainty Estimates from Dropout Networks INTERSPEECH 2018
Proximity Variational Inference AISTATS 2018
Probabilistic Machine Learning: Models, Algorithms and a Programming Library IJCAI 2018
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? NIPS 2017
Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning IJCAI 2017
Deep Bayesian Active Learning with Image Data ICML 2017
Learning Scalable Deep Kernels with Recurrent Structure JMLR 2017
Concrete Dropout NIPS 2017
Learning Weight Uncertainty With Stochastic Gradient MCMC for Shape Classification CVPR 2016
Avoiding pathologies in very deep networks AISTATS 2014