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 Label Refinement for Sequence Labeling EMNLP 2020
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks ICML 2020
Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge IJCAI 2020
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors ICML 2020
Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020
Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations NIPS 2020
Efficient Low Rank Gaussian Variational Inference for Neural Networks NIPS 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness NIPS 2020
Incorporating Interpretable Output Constraints in Bayesian Neural Networks NIPS 2020
Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections NIPS 2019
Understanding Priors in Bayesian Neural Networks at the Unit Level ICML 2019
Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning IJCAI 2019
Statistical Guarantees for the Robustness of Bayesian Neural Networks IJCAI 2019
Bayesian Layers: A Module for Neural Network Uncertainty NIPS 2019
Variational Implicit Processes ICML 2019
Bayesian Learning for Neural Dependency Parsing NAACL 2019
Robust Bayesian and Light Neural Networks for Voice Spoofing Detection INTERSPEECH 2019
BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference IJCAI 2019
Model Selection in Bayesian Neural Networks via Horseshoe Priors JMLR 2019
Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation UAI 2019
ODE2VAE: Deep generative second order ODEs with Bayesian neural networks NIPS 2019
Copula-like Variational Inference NIPS 2019
Bayesian Uncertainty Matching for Unsupervised Domain Adaptation IJCAI 2019
Deep learning with differential Gaussian process flows AISTATS 2019
Deep Active Learning with Adaptive Acquisition IJCAI 2019