Towards Bayesian Deep Learning: A Framework and Some Existing Methods

24 August 2016

Papers citing "Towards Bayesian Deep Learning: A Framework and Some Existing Methods"

28 / 28 papers shown

Title
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models Yibin Wang Haizhou Shi Ligong Han Dimitris N. Metaxas Hao Wang BDL UQLM 116 6 0 28 Jan 2025
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations Xin-Chao Xu Yi Qin Lu Mi Hao Wang Xiaomeng Li 74 9 0 03 Jan 2025
Training-Free Bayesianization for Low-Rank Adapters of Large Language Models Haizhou Shi Yibin Wang Ligong Han H. M. Zhang Hao Wang UQCV 83 0 0 07 Dec 2024
On Calibration of LLM-based Guard Models for Reliable Content Moderation Hongfu Liu Hengguan Huang Hao Wang Xiangming Gu Ye Wang 55 2 0 14 Oct 2024
Variational Language Concepts for Interpreting Foundation Language Models Hengyi Wang Shiwei Tan Zhiqing Hong Desheng Zhang Hao Wang 34 3 0 04 Oct 2024
SEF: A Method for Computing Prediction Intervals by Shifting the Error Function in Neural Networks E. V. Aretos D. G. Sotiropoulos 25 0 0 08 Sep 2024
Towards Domain Adaptive Neural Contextual Bandits Ziyan Wang Hao Wang Hao Wang 50 0 0 13 Jun 2024
Delving into Differentially Private Transformer Youlong Ding Xueyang Wu Yining Meng Yonggang Luo Hao Wang Weike Pan 39 5 0 28 May 2024
PreDiff: Precipitation Nowcasting with Latent Diffusion Models Zhihan Gao Xingjian Shi Boran Han Hongya Wang Xiaoyong Jin Danielle C. Maddix Yi Zhu Mu Li Bernie Wang BDL DiffM 40 56 0 19 Jul 2023
Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling J. Wang Chengyu Wang Jun Huang Ming Gao Aoying Zhou BDL UQLM NoLa 42 4 0 17 Feb 2023
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation Zihao Xu Guang-Yuan Hao Hao He Hao Wang 38 18 0 06 Feb 2023
Workload Forecasting of a Logistic Node Using Bayesian Neural Networks Emin Cagatay Nakilcioglu Anisa Rizvanolli 21 1 0 09 Nov 2022
Measuring the Confidence of Traffic Forecasting Models: Techniques, Experimental Comparison and Guidelines towards Their Actionability I. Laña Ignacio I. Olabarrieta Javier Del Ser 40 1 0 28 Oct 2022
Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunciations Localization Wei Wei Hengguan Huang Xiangming Gu Hao Wang Ye Wang BDL 22 0 0 05 May 2022
PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty Paz Fink Shustin Shashanka Ubaru Vasileios Kalantzis L. Horesh H. Avron 23 2 0 10 Feb 2022
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities Waddah Saeed C. Omlin XAI 36 414 0 11 Nov 2021
GHRS: Graph-based Hybrid Recommendation System with Application to Movie Recommendation Zahra Zamanzadeh Darban Mohammad Hadi Valipour 34 103 0 06 Nov 2021
Auto-Parsing Network for Image Captioning and Visual Question Answering Xu Yang Chongyang Gao Hanwang Zhang Jianfei Cai 24 35 0 24 Aug 2021
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition Junkun Yuan Anpeng Wu Kun Kuang Yangqiu Song Runze Wu Fei Wu Lanfen Lin CML 42 38 0 13 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 41 1,111 0 07 Jul 2021
Correcting Exposure Bias for Link Recommendation Shantanu Gupta Hao Wang Zachary Chase Lipton Bernie Wang CML 30 34 0 13 Jun 2021
Hierarchical Convolutional Neural Network with Feature Preservation and Autotuned Thresholding for Crack Detection Qiuchen Zhu Tran Hiep Dinh Manh Duong Phung Q. Ha 24 33 0 21 Apr 2021
Accurate and Reliable Forecasting using Stochastic Differential Equations Peng Cui Zhijie Deng Wenbo Hu Jun Zhu UQCV 35 1 0 28 Mar 2021
Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images J. E. Arco A. Ortiz J. Ramírez Francisco J. Martínez-Murcia Yudong Zhang Juan M Gorriz UQCV 19 3 0 27 Nov 2020
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings John Mitros A. Pakrashi Brian Mac Namee UQCV 26 2 0 03 Sep 2020
Artificial Intelligence in Clinical Health Care Applications: Viewpoint M. V. Hartskamp Sergio Consoli W. Verhaegh M. Petković A. Stolpe 9 50 0 05 Jun 2019
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling Hao Wang Chengzhi Mao Hao He Mingmin Zhao Tommi Jaakkola Dina Katabi BDL 24 22 0 06 Feb 2019
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks Hao Wang Xingjian Shi Dit-Yan Yeung BDL 13 101 0 02 Nov 2016