bayesian neural network

The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks ICML 2020 Thompson Sampling via Local Uncertainty ICML 2020 Uncertainty-Aware Label Refinement for Sequence Labeling EMNLP 2020 Uncertainty-guided Continual Learning with Bayesian Neural Networks ICLR 2020 Uncertainty in Neural Networks: Approximately Bayesian Ensembling AISTATS 2020 Uncertainty Modeling for Machine Comprehension Systems using Efficient Bayesian Neural Networks COLING 2020 Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift ICML 2020 Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge IJCAI 2020 Wide Neural Networks with Bottlenecks are Deep Gaussian Processes JMLR 2020 Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network ICLR 2019 Bayesian Layers: A Module for Neural Network Uncertainty NeurIPS 2019 Bayesian Learning for Neural Dependency Parsing NAACL 2019 Bayesian Uncertainty Matching for Unsupervised Domain Adaptation IJCAI 2019 BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference IJCAI 2019 Communication-Efficient Stochastic Gradient MCMC for Neural Networks AAAI 2019 Copula-like Variational Inference NeurIPS 2019 Deep Active Learning with Adaptive Acquisition IJCAI 2019 Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning IJCAI 2019 Deep learning with differential Gaussian process flows AISTATS 2019 Deterministic Variational Inference for Robust Bayesian Neural Networks ICLR 2019 Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions UAI 2019 FUNCTIONAL VARIATIONAL BAYESIAN NEURAL NETWORKS ICLR 2019 Function Space Particle Optimization for Bayesian Neural Networks ICLR 2019 Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections NeurIPS 2019 Model Selection in Bayesian Neural Networks via Horseshoe Priors JMLR 2019