Transformer Uncertainty Estimation with Hierarchical Stochastic Attention

27 December 2021

Papers citing "Transformer Uncertainty Estimation with Hierarchical Stochastic Attention"

20 / 20 papers shown

Title
Uncertainty Quantification for Machine Learning in Healthcare: A Survey L. J. L. Lopez Shaza Elsharief Dhiyaa Al Jorf Firas Darwish Congbo Ma Farah E. Shamout 107 0 0 04 May 2025
Multimodal Graph Representation Learning for Robust Surgical Workflow Recognition with Adversarial Feature Disentanglement Long Bai Boyi Ma Ruohan Wang Guankun Wang Beilei Cui ... Mobarakol Islam Zhe Min Jiewen Lai Nassir Navab Hongliang Ren 53 0 0 03 May 2025
Uncertainty-Instructed Structure Injection for Generalizable HD Map Construction Xiaolu Liu Ruizi Yang Song Wang Wentong Li J. Chen Jianke Zhu 52 0 0 29 Mar 2025
Can Uncertainty Quantification Enable Better Learning-based Index Tuning? Tao Yu Zhaonian Zou Hao Xiong 16 1 0 23 Oct 2024
Calibrating Verbalized Probabilities for Large Language Models Cheng Wang Gyuri Szarvas Georges Balazs Pavel Danchenko P. Ernst 15 0 0 09 Oct 2024
S2-Track: A Simple yet Strong Approach for End-to-End 3D Multi-Object Tracking Lijun Zhou Tao Tang Pengkun Hao Zihang He Kalok Ho ... Zhihui Hao Haiyang Sun Kun Zhan Peng Jia Xianpeng Lang VOT 58 4 0 04 Jun 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 29 0 0 16 Apr 2024
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? Joris Baan Raquel Fernández Barbara Plank Wilker Aziz 43 10 0 25 Feb 2024
Stochastic Vision Transformers with Wasserstein Distance-Aware Attention Franciskus Xaverius Erick Mina Rezaei Johanna P. Müller Bernhard Kainz 20 0 0 30 Nov 2023
A Saliency-based Clustering Framework for Identifying Aberrant Predictions A. Tersol Montserrat Alexander R. Loftus Yael Daihes 12 0 0 11 Nov 2023
Calibration in Deep Learning: A Survey of the State-of-the-Art Cheng Wang UQCV 31 36 0 02 Aug 2023
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications Mengting Hu Zhen Zhang Shiwan Zhao Minlie Huang Bingzhe Wu BDL 29 34 0 05 Jun 2023
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models Tong Ye Shijing Si Jianzong Wang Ning Cheng Zhitao Li Jing Xiao 69 2 0 15 Mar 2023
State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions Cheng Wang Carolin (Haas) Lawrence Mathias Niepert 21 3 0 10 Dec 2022
Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design Jörg K.H. Franke Frederic Runge Frank Hutter 17 14 0 27 May 2022
H-Transformer-1D: Fast One-Dimensional Hierarchical Attention for Sequences Zhenhai Zhu Radu Soricut 112 41 0 25 Jul 2021
Transformer in Transformer Kai Han An Xiao Enhua Wu Jianyuan Guo Chunjing Xu Yunhe Wang ViT 284 1,524 0 27 Feb 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 169 3,885 0 14 Dec 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015