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1906.05323
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Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes
AAAI Conference on Artificial Intelligence (AAAI), 2019
12 June 2019
R. Krishnan
Mahesh Subedar
Omesh Tickoo
BDL
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Papers citing
"Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes"
32 / 32 papers shown
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Bayesian Deep Learning for Convective Initiation Nowcasting Uncertainty Estimation
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David John Gagne II
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188
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Logit Disagreement: OoD Detection with Bayesian Neural Networks
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434
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24 Feb 2025
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Haizhou Shi
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Hao Wang
BDL
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28 Jan 2025
Calibrating Bayesian Generative Machine Learning for Bayesiamplification
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Gregor Kasieczka
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Jeyoon Yeom
Sooyon Kim
Hoyoon Byun
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AAML
807
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21 Jun 2024
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling
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Hyungi Lee
G. Nam
Edwin Fong
Juho Lee
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211
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12 Mar 2024
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M. Hassanaly
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253
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Elena Gal
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252
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VI-PANN: Harnessing Transfer Learning and Uncertainty-Aware Variational Inference for Improved Generalization in Audio Pattern Recognition
IEEE Access (IEEE Access), 2024
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Marko Orescanin
Eric Eckstrand
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268
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10 Jan 2024
An Empirical Bayes Framework for Open-Domain Dialogue Generation
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Woon-Seng Gan
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172
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18 Nov 2023
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions
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Bin Pan
Tianyang Shi
Tao Li
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317
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Be Bayesian by Attachments to Catch More Uncertainty
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Bin Pan
Tianyang Shi
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Zhenwei Shi
UQCV
323
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Implicit Variational Inference for High-Dimensional Posteriors
Neural Information Processing Systems (NeurIPS), 2023
Anshuk Uppal
Kristoffer Stensbo-Smidt
Wouter Boomsma
J. Frellsen
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297
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10 Oct 2023
SOAR: Scene-debiasing Open-set Action Recognition
IEEE International Conference on Computer Vision (ICCV), 2023
Yuanhao Zhai
Ziyi Liu
Zhenyu Wu
Yi Wu
Chunluan Zhou
David Doermann
Junsong Yuan
Gang Hua
316
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03 Sep 2023
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks
International Conference on Machine Learning (ICML), 2023
Dominik Schnaus
Jongseok Lee
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Rudolph Triebel
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203
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15 Jul 2023
Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty Alignment
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Kecheng Chen
Jie Liu
Renjie Wan
Victor Ho-Fun Lee
Varut Vardhanabhuti
Hong Yan
Haoliang Li
OOD
299
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Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts
International Conference on Machine Learning (ICML), 2023
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Huiqi Deng
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Variational Boosted Soft Trees
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Tammo Rukat
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Martin Wistuba
Artur Bekasov
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UQCV
243
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Piecewise Deterministic Markov Processes for Bayesian Neural Networks
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Dimitri Perrin
Kerrie Mengersen
Clinton Fookes
185
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17 Feb 2023
VLG: General Video Recognition with Web Textual Knowledge
International Journal of Computer Vision (IJCV), 2022
Jintao Lin
Zhaoyang Liu
Wenhai Wang
Wayne Wu
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237
2
0
03 Dec 2022
Image-based Treatment Effect Heterogeneity
CLEaR (CLEaR), 2022
Connor Jerzak
Fredrik D. Johansson
Adel Daoud
469
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13 Jun 2022
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer
Shiye Lei
Zhuozhuo Tu
Leszek Rutkowski
Feng Zhou
Li Shen
Fengxiang He
Dacheng Tao
BDL
184
2
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12 Dec 2021
Robust Contrastive Active Learning with Feature-guided Query Strategies
R. Krishnan
Nilesh A. Ahuja
Alok Sinha
Mahesh Subedar
Omesh Tickoo
Ravi Iyer
253
2
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13 Sep 2021
Evidential Deep Learning for Open Set Action Recognition
IEEE International Conference on Computer Vision (ICCV), 2021
Wentao Bao
Qi Yu
Yu Kong
CML
EDL
358
188
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21 Jul 2021
Structured Dropout Variational Inference for Bayesian Neural Networks
Neural Information Processing Systems (NeurIPS), 2021
S. Nguyen
Duong Nguyen
Khai Nguyen
Khoat Than
Hung Bui
Nhat Ho
BDL
DRL
301
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16 Feb 2021
An Active Learning Method for Diabetic Retinopathy Classification with Uncertainty Quantification
Medical and Biological Engineering and Computing (MBEC), 2020
Muhammad Ahtazaz Ahsan
A. Qayyum
Junaid Qadir
Adeel Razi
BDL
213
21
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24 Dec 2020
Improving model calibration with accuracy versus uncertainty optimization
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R. Krishnan
Omesh Tickoo
UQCV
488
194
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14 Dec 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Information Fusion (Inf. Fusion), 2020
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Tianpeng Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDL
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955
2,296
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BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning
Asian Conference on Machine Learning (ACML), 2020
Zhijie Deng
Jun Zhu
BDL
340
9
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