Transformer Uncertainty Estimation with Hierarchical Stochastic
Attention

Transformer Uncertainty Estimation with Hierarchical Stochastic Attention

AAAI Conference on Artificial Intelligence (AAAI), 2021

27 December 2021

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Papers citing "Transformer Uncertainty Estimation with Hierarchical Stochastic Attention"

17 / 17 papers shown

Title
Dropouts in Confidence: Moral Uncertainty in Human-LLM Alignment Jea Kwon L. Vecchietti Sungwon Park Meeyoung Cha 40 0 0 17 Nov 2025
TCUQ: Single-Pass Uncertainty Quantification from Temporal Consistency with Streaming Conformal Calibration for TinyML Ismail Lamaakal Chaymae Yahyati Khalid El Makkaoui Ibrahim Ouahbi Yassine Maleh 60 1 0 18 Aug 2025
Benchmarking Uncertainty and its Disentanglement in multi-label Chest X-Ray Classification Simon Baur Wojciech Samek Jackie Ma UQCV 105 1 0 06 Aug 2025
Uncertainty Quantification for Machine Learning in Healthcare: A SurveyACM Conference on Health, Inference, and Learning (CHIL), 2025 L. J. L. Lopez Shaza Elsharief Dhiyaa Al Jorf Firas Darwish Congbo Ma Farah E. Shamout 988 3 0 04 May 2025
Multimodal Graph Representation Learning for Robust Surgical Workflow Recognition with Adversarial Feature DisentanglementInformation Fusion (Inf. Fusion), 2025 Long Bai Boyi Ma Ruohan Wang Guankun Wang Beilei Cui ... Mobarakol Islam Zhe Min Jiewen Lai Nassir Navab Hongliang Ren 226 2 0 03 May 2025
Uncertainty-Instructed Structure Injection for Generalizable HD Map ConstructionComputer Vision and Pattern Recognition (CVPR), 2025 Xiaolu Liu Ruizi Yang Song Wang Wentong Li Jintai Chen Jianke Zhu 179 0 0 29 Mar 2025
Can Uncertainty Quantification Improve Learned Index Benefit Estimation?IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024 Tao Yu Zhaonian Zou Hao Xiong 150 0 0 23 Oct 2024
Calibrating Verbalized Probabilities for Large Language Models Cheng Wang Gyuri Szarvas Georges Balazs Pavel Danchenko P. Ernst 204 1 0 09 Oct 2024
BayesJudge: Bayesian Kernel Language Modelling with Confidence Uncertainty in Legal Judgment Prediction Ubaid Azam Imran Razzak Shelly Vishwakarma Hakim Hacid Dell Zhang Shoaib Jameel UQCV ELM BDL 133 0 0 16 Apr 2024
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? Joris Baan Raquel Fernández Barbara Plank Wilker Aziz 263 14 0 25 Feb 2024
Stochastic Vision Transformers with Wasserstein Distance-Aware Attention Franciskus Xaverius Erick Mina Rezaei Johanna P. Müller Bernhard Kainz 169 0 0 30 Nov 2023
A Saliency-based Clustering Framework for Identifying Aberrant Predictions A. Tersol Montserrat Alexander R. Loftus Yael Daihes 139 0 0 11 Nov 2023
Calibration in Deep Learning: A Survey of the State-of-the-Art Cheng Wang UQCV 440 69 0 02 Aug 2023
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications Mengting Hu Zhen Zhang Shiwan Zhao Shiyu Huang Bingzhe Wu BDL 206 52 0 05 Jun 2023
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval ModelsAAAI Conference on Artificial Intelligence (AAAI), 2023 Tong Ye Shijing Si Jianzong Wang Ning Cheng Zhitao Li Jing Xiao 188 3 0 15 Mar 2023
State-Regularized Recurrent Neural Networks to Extract Automata and Explain PredictionsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Cheng Wang Carolin (Haas) Lawrence Mathias Niepert 175 3 0 10 Dec 2022
Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule DesignNeural Information Processing Systems (NeurIPS), 2022 Jörg Franke Frederic Runge Katharina Eggensperger 174 16 0 27 May 2022