bayesian neural network

AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC AISTATS 2020 Continual Learning with Bayesian Neural Networks for Non-Stationary Data ICLR 2020 Defense Through Diverse Directions ICML 2020 Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification Interspeech 2020 Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors ICML 2020 Efficient Low Rank Gaussian Variational Inference for Neural Networks NeurIPS 2020 Ensembling geophysical models with Bayesian Neural Networks NeurIPS 2020 f-Divergence Variational Inference NeurIPS 2020 Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights NeurIPS 2020 Incorporating Interpretable Output Constraints in Bayesian Neural Networks NeurIPS 2020 Inferring Continuous Treatment Doses from Historical Data via Model-Based Entropy-Regularized Reinforcement Learning ACML 2020 Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020 Learning Model with Error -- Exposing the Hidden Model of BAYHENN IJCAI 2020 Leveraging Document-Level Label Consistency for Named Entity Recognition IJCAI 2020 Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations NeurIPS 2020 Model Fusion with Kullback-Leibler Divergence ICML 2020 On the Expressiveness of Approximate Inference in Bayesian Neural Networks NeurIPS 2020 PoRB-Nets: Poisson Process Radial Basis Function Networks UAI 2020 Probabilistic Safety for Bayesian Neural Networks UAI 2020 Radial and Directional Posteriors for Bayesian Deep Learning AAAI 2020 Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning AISTATS 2020 Robustness of Bayesian Neural Networks to Gradient-Based Attacks NeurIPS 2020 Scalable Uncertainty for Computer Vision With Functional Variational Inference CVPR 2020 Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness NeurIPS 2020 Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes AAAI 2020