13.3.12.11.1 Bayesian Neural Networks

Chapter Contents (Back)
Bayes Neural Nets.
See also Bayesian Learning, Bayes Network, Bayesian Networks.
See also Bayesian Clustering, Bayes Classifier.
See also Bayesian Optimization.

Vehtari, A.[Aki], Lampinen, J.[Jouko],
Bayesian MLP neural networks for image analysis,
PRL(21), No. 13-14, December 2000, pp. 1183-1191. 0011
BibRef
Earlier:
Bayesian Neural Networks for Image Analysis,
SCIA99(Neural Nets). BibRef

Toivanen, M.[Miika], Lampinen, J.[Jouko],
Incremental Bayesian learning of feature points from natural images,
FeatureSpace09(39-46).
IEEE DOI 0906
BibRef

Lampinen, J., Vehtari, A., Leinonen, K.,
Using Bayesian Neural Network to Solve the Inverse Problem in Electrical Impedance Tomography,
SCIA99(Neural Nets). BibRef 9900

Kandemir, M.[Melih],
Variational closed-Form deep neural net inference,
PRL(112), 2018, pp. 145-151.
Elsevier DOI 1809
Bayesian Neural Networks, Variational Bayes, Online learning, Active learning BibRef

Roth, W.[Wolfgang], Pernkopf, F.[Franz],
Bayesian Neural Networks with Weight Sharing Using Dirichlet Processes,
PAMI(42), No. 1, January 2020, pp. 246-252.
IEEE DOI 1912
Artificial neural networks, Bayes methods, Computational modeling, Task analysis, Monte Carlo methods, non-conjugate models BibRef

Zhao, H.[Hao], Lu, M.[Ming], Yao, A.B.[An-Bang], Guo, Y.W.[Yi-Wen], Chen, Y.R.[Yu-Rong], Zhang, L.[Li],
Pointly-supervised scene parsing with uncertainty mixture,
CVIU(200), 2020, pp. 103040.
Elsevier DOI 2010
Scene parsing, Bayesian neural networks, Uncertainty, Gamma mixture, Weakly-supervised learning BibRef

Franchi, G.[Gianni], Bursuc, A.[Andrei], Aldea, E.[Emanuel], Dubuisson, S.[Séverine], Bloch, I.[Isabelle],
Encoding the Latent Posterior of Bayesian Neural Networks for Uncertainty Quantification,
PAMI(46), No. 4, April 2024, pp. 2027-2040.
IEEE DOI 2403
Training, Bayes methods, Uncertainty, Correlation, Task analysis, Gaussian distribution, Computational efficiency, Bayesian neural network BibRef


Zhang, J.[Jiaru], Hua, Y.[Yang], Xue, Z.G.[Zhen-Gui], Song, T.[Tao], Zheng, C.Y.[Cheng-Yu], Ma, R.[Ruhui], Guan, H.B.[Hai-Bing],
Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization,
CVPR21(3814-3823)
IEEE DOI 2111
Training, Uncertainty, Computational modeling, Neural networks, Predictive models, Probabilistic logic, Robustness BibRef

Tsukahara, T.[Takuya], Hirakawa, T.[Tsubasa], Yamashita, T.[Takayoshi], Fujiyoshi, H.[Hironobu],
Improving reliability of attention branch network by introducing uncertainty,
ICPR21(1536-1542)
IEEE DOI 2105
Bayesian neural network to account for uncertainty in the answer. Uncertainty, Image recognition, Bayes methods, Reliability, Object recognition, Convolutional neural networks BibRef

Rakesh, V.[Vineeth], Jain, S.[Swayambhoo],
Efficacy of Bayesian Neural Networks in Active Learning,
LLID21(2601-2609)
IEEE DOI 2109
Uncertainty, Monte Carlo methods, Neural networks, Estimation, Machine learning, Data models BibRef

Aryan, M., Frean, M., Lewis, J.,
Sample-Efficient Optimization Using Bayesian Neural Networks,
IVCNZ18(1-11)
IEEE DOI 1902
Optimization, Bayes methods, Neural networks, Computational modeling, Linear programming, Gaussian processes, Efficient BibRef

Dayoub, F.[Feras], Sünderhauf, N.[Niko], Corke, P.I.[Peter Ian],
Episode-Based Active Learning with Bayesian Neural Networks,
DeepLearnRV17(498-500)
IEEE DOI 1709
Bayes methods, Entropy, Neural networks, Robots, Training, Tuning BibRef

Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Graph Edit Distance, Tree-Edit Distance .


Last update:Apr 18, 2024 at 11:38:49