conftrace_

bayesian neural network

201 papers

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Also known as

BNN

Co-occurring keywords

variational inference (2069) uncertainty quantification (1393) uncertainty estimation (648) gaussian process (1200) posterior distribution (259) posterior approximation (132) bayesian inference (1907) out-of-distribution detection (617) markov chain monte carlo (725) epistemic uncertainty (160)

Papers

Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding EMNLP 2023
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks ICML 2023
Collapsed Inference for Bayesian Deep Learning NIPS 2023
Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts ICML 2023
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference ICML 2023
Function Space Bayesian Pseudocoreset for Bayesian Neural Networks NIPS 2023
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning NIPS 2023
Optimal Transport Model Distributional Robustness NIPS 2023
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming ICML 2023
Riemannian Laplace approximations for Bayesian neural networks NIPS 2023
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations NIPS 2023
Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling AAAI 2023
On permutation symmetries in Bayesian neural network posteriors: a variational perspective NIPS 2023
Probabilistic Weight Fixing: Large-scale training of neural network weight uncertainties for quantisation. NIPS 2023
Do Bayesian Neural Networks Need To Be Fully Stochastic? AISTATS 2023
A Targeted Accuracy Diagnostic for Variational Approximations AISTATS 2023
Using Sliced Mutual Information to Study Memorization and Generalization in Deep Neural Networks AISTATS 2023
Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference COLT 2023
Flat Seeking Bayesian Neural Networks NIPS 2023
Adversarial Bayesian Augmentation for Single-Source Domain Generalization ICCV 2023
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice JMLR 2023
Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks AAAI 2023
Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach AISTATS 2023
Safety Verification of Nonlinear Systems with Bayesian Neural Network Controllers AAAI 2023
Bayesian numerical integration with neural networks UAI 2023