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

What Are Bayesian Neural Network Posteriors Really Like? ICML 2021
DIBS: Diversity Inducing Information Bottleneck in Model Ensembles AAAI 2021
Streaming Bayesian Deep Tensor Factorization ICML 2021
Bayes DistNet - A Robust Neural Network for Algorithm Runtime Distribution Predictions AAAI 2021
Deep kernel processes ICML 2021
Periodic Activation Functions Induce Stationarity NIPS 2021
Dangers of Bayesian Model Averaging under Covariate Shift NIPS 2021
Exact marginal prior distributions of finite Bayesian neural networks NIPS 2021
Sparse Uncertainty Representation in Deep Learning with Inducing Weights NIPS 2021
Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications NIPS 2021
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect NIPS 2021
Structured Dropout Variational Inference for Bayesian Neural Networks NIPS 2021
An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence NIPS 2021
Asymptotics of representation learning in finite Bayesian neural networks NIPS 2021
Collapsed Variational Bounds for Bayesian Neural Networks NIPS 2021
Certification of iterative predictions in Bayesian neural networks UAI 2021
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression CVPR 2021
Bayesian Experience Reuse for Learning from Multiple Demonstrators IJCAI 2021
Simple and Effective Stochastic Neural Networks AAAI 2021
LiBRe: A Practical Bayesian Approach to Adversarial Detection CVPR 2021
Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization CVPR 2021
Precise characterization of the prior predictive distribution of deep ReLU networks NIPS 2021
Learnable uncertainty under Laplace approximations UAI 2021
Scaling Hamiltonian Monte Carlo inference for Bayesian neural networks with symmetric splitting UAI 2021
Hierarchical Indian buffet neural networks for Bayesian continual learning UAI 2021