Papers citing 'Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes'

Title
Out-of-Distribution Detection from Small Training Sets using Bayesian Neural Network Classifiers Kevin Raina T. Schmah BDL 134 0 0 07 Oct 2025
Is It Certainly a Deepfake? Reliability Analysis in Detection & Generation Ecosystem Neslihan Kose Anthony Rhodes U. Ciftci Ilke Demir 258 0 0 22 Sep 2025
PEdger++: Practical Edge Detection via Assembling Cross Information Yuanbin Fu Liang Li Xiaojie Guo 130 0 0 16 Aug 2025
Bayesian Deep Learning for Convective Initiation Nowcasting Uncertainty Estimation Da Fan David John Gagne II S. Greybush E. Clothiaux John S. Schreck Chaopeng Shen UQCV BDL 140 0 0 22 Jul 2025
Logit Disagreement: OoD Detection with Bayesian Neural Networks Kevin Raina UQCV BDL UD PER 375 1 0 24 Feb 2025
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language ModelsNeural Information Processing Systems (NeurIPS), 2024 Yibin Wang Haizhou Shi Ligong Han Dimitris N. Metaxas Hao Wang BDL UQLM 678 20 0 28 Jan 2025
Calibrating Bayesian Generative Machine Learning for Bayesiamplification S. Bieringer Yuan-Tang Chou Gregor Kasieczka Mathias Trabs 147 8 0 01 Aug 2024
Flat Posterior Does Matter For Bayesian Model Averaging Sungjun Lim Jeyoon Yeom Sooyon Kim Hoyoon Byun Jinho Kang Yohan Jung Jiyoung Jung Kyungwoo Song BDL AAML 707 0 0 21 Jun 2024
Enhancing Transfer Learning with Flexible Nonparametric Posterior SamplingInternational Conference on Learning Representations (ICLR), 2024 Hyungi Lee G. Nam Edwin Fong Juho Lee BDL 191 7 0 12 Mar 2024
A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks Graham Pash M. Hassanaly S. Yellapantula AI4CE 221 1 0 28 Feb 2024
Domain Generalization with Small Data Kecheng Chen Elena Gal Hong Yan Haoliang Li OOD 221 10 0 09 Feb 2024
VI-PANN: Harnessing Transfer Learning and Uncertainty-Aware Variational Inference for Improved Generalization in Audio Pattern RecognitionIEEE Access (IEEE Access), 2024 John Fischer Marko Orescanin Eric Eckstrand UQCV BDL 228 6 0 10 Jan 2024
An Empirical Bayes Framework for Open-Domain Dialogue Generation Jing Yang Lee Kong Aik Lee Woon-Seng Gan BDL 132 2 0 18 Nov 2023
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions Shiyu Shen Bin Pan Tianyang Shi Tao Li Zhenwei Shi BDL OOD 256 1 0 25 Oct 2023
Be Bayesian by Attachments to Catch More Uncertainty Shiyu Shen Bin Pan Tianyang Shi Tao Li Zhenwei Shi UQCV 290 0 0 19 Oct 2023
Implicit Variational Inference for High-Dimensional PosteriorsNeural Information Processing Systems (NeurIPS), 2023 Anshuk Uppal Kristoffer Stensbo-Smidt Wouter Boomsma J. Frellsen BDL 243 3 0 10 Oct 2023
SOAR: Scene-debiasing Open-set Action RecognitionIEEE International Conference on Computer Vision (ICCV), 2023 Yuanhao Zhai Ziyi Liu Zhenyu Wu Yi Wu Chunluan Zhou David Doermann Junsong Yuan Gang Hua 262 13 0 03 Sep 2023
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural NetworksInternational Conference on Machine Learning (ICML), 2023 Dominik Schnaus Jongseok Lee Zorah Lähner Rudolph Triebel UQCV BDL 169 3 0 15 Jul 2023
Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty AlignmentIEEE 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 244 7 0 26 Feb 2023
Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive ConceptsInternational Conference on Machine Learning (ICML), 2023 Qihan Ren Huiqi Deng Yunuo Chen Siyu Lou Quanshi Zhang BDL AAML 239 12 0 25 Feb 2023
Variational Boosted Soft TreesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Tristan Cinquin Tammo Rukat Philipp Schmidt Martin Wistuba Artur Bekasov BDL UQCV 192 0 0 21 Feb 2023
Piecewise Deterministic Markov Processes for Bayesian Neural NetworksConference on Uncertainty in Artificial Intelligence (UAI), 2023 Ethan Goan Dimitri Perrin Kerrie Mengersen Clinton Fookes 175 0 0 17 Feb 2023
VLG: General Video Recognition with Web Textual KnowledgeInternational Journal of Computer Vision (IJCV), 2022 Jintao Lin Zhaoyang Liu Wenhai Wang Wayne Wu Limin Wang 215 2 0 03 Dec 2022
Image-based Treatment Effect HeterogeneityCLEaR (CLEaR), 2022 Connor Jerzak Fredrik D. Johansson Adel Daoud 424 28 0 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 168 2 0 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 190 2 0 13 Sep 2021
Evidential Deep Learning for Open Set Action RecognitionIEEE International Conference on Computer Vision (ICCV), 2021 Wentao Bao Qi Yu Yu Kong CML EDL 326 179 0 21 Jul 2021
Structured Dropout Variational Inference for Bayesian Neural NetworksNeural Information Processing Systems (NeurIPS), 2021 S. Nguyen Duong Nguyen Khai Nguyen Khoat Than Hung Bui Nhat Ho BDL DRL 249 10 0 16 Feb 2021
An Active Learning Method for Diabetic Retinopathy Classification with Uncertainty QuantificationMedical and Biological Engineering and Computing (MBEC), 2020 Muhammad Ahtazaz Ahsan A. Qayyum Junaid Qadir Adeel Razi BDL 196 21 0 24 Dec 2020
Improving model calibration with accuracy versus uncertainty optimizationNeural Information Processing Systems (NeurIPS), 2020 R. Krishnan Omesh Tickoo UQCV 448 191 0 14 Dec 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and ChallengesInformation 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 UQCV 911 2,251 0 12 Nov 2020
BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuningAsian Conference on Machine Learning (ACML), 2020 Zhijie Deng Jun Zhu BDL 286 9 0 05 Oct 2020