Evidential Deep Learning to Quantify Classification Uncertainty

5 June 2018

Papers citing "Evidential Deep Learning to Quantify Classification Uncertainty"

50 / 487 papers shown

Title
Conformalized Credal Set Predictors Alireza Javanmardi David Stutz Eyke Hüllermeier 24 11 0 16 Feb 2024
LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using Uncertainty Zhen Zhang Yuhua Zhao Hang Gao Mengting Hu 35 20 0 16 Feb 2024
UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers Hong Jia Young D. Kwon Dong Ma Nhat Pham Lorena Qendro Tam N. Vu Cecilia Mascolo 19 2 0 14 Feb 2024
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods? Mira Jürgens Nis Meinert Viktor Bengs Eyke Hüllermeier Willem Waegeman UQCV UD PER EDL BDL 27 11 0 14 Feb 2024
Selective Learning: Towards Robust Calibration with Dynamic Regularization Zongbo Han Yifeng Yang Changqing Zhang Linjun Zhang Joey Tianyi Zhou Qinghua Hu 29 4 0 13 Feb 2024
Predictive Churn with the Set of Good Models J. Watson-Daniels Flavio du Pin Calmon Alexander DÁmour Carol Xuan Long David C. Parkes Berk Ustun 83 7 0 12 Feb 2024
Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement Learning Alex C. Stutts Danilo Erricolo Theja Tulabandhula A. R. Trivedi EDL UQCV 30 0 0 11 Feb 2024
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage? Maohao Shen Jeonghun Ryu Soumya Ghosh Yuheng Bu P. Sattigeri Subhro Das Greg Wornell EDL BDL UQCV 28 2 0 09 Feb 2024
uPLAM: Robust Panoptic Localization and Mapping Leveraging Perception Uncertainties Kshitij Sirohi Daniel Buscher Wolfram Burgard 24 1 0 08 Feb 2024
Credal Learning Theory Michele Caprio Maryam Sultana Eleni Elia Fabio Cuzzolin FedML 40 11 0 01 Feb 2024
Navigating the Unknown: Uncertainty-Aware Compute-in-Memory Autonomy of Edge Robotics Nastaran Darabi Priyesh Shukla Dinithi Jayasuriya Divake Kumar Alex C. Stutts A. R. Trivedi 22 2 0 30 Jan 2024
Reliability and Interpretability in Science and Deep Learning Luigi Scorzato 31 3 0 14 Jan 2024
Enabling Collaborative Clinical Diagnosis of Infectious Keratitis by Integrating Expert Knowledge and Interpretable Data-driven Intelligence Zhengqing Fang Shuowen Zhou Zhouhang Yuan Yuxuan Si Mengze Li ... Wenjia Xie Kun Kuang Yingming Li Fei Wu Yu-feng Yao 34 1 0 14 Jan 2024
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels Chen-Chen Zong Ye-Wen Wang Ming-Kun Xie Sheng-Jun Huang 11 5 0 13 Jan 2024
Answering from Sure to Uncertain: Uncertainty-Aware Curriculum Learning for Video Question Answering Haopeng Li Qiuhong Ke Mingming Gong Tom Drummond 31 1 0 03 Jan 2024
Uncertainty Regularized Evidential Regression Kai Ye Tiejin Chen Hua Wei Liang Zhan UQCV EDL 33 7 0 03 Jan 2024
METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection Jiaqi Zhu Shaofeng Cai Fang Deng Bengchin Ooi Wenqiao Zhang 6 5 0 28 Dec 2023
A Survey on Open-Set Image Recognition Jiaying Sun Qiulei Dong BDL ObjD 32 3 0 25 Dec 2023
SimCalib: Graph Neural Network Calibration based on Similarity between Nodes Boshi Tang Zhiyong Wu Xixin Wu Qiaochu Huang Jun Chen Shunwei Lei Helen M. Meng 44 7 0 19 Dec 2023
Scaling Up Bayesian Neural Networks with Neural Networks Zahra Moslemi Yang Meng Shiwei Lan B. Shahbaba BDL 22 1 0 19 Dec 2023
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks Nikita Kotelevskii Samuel Horváth Karthik Nandakumar Martin Takáč Maxim Panov UQCV FedML OOD 26 7 0 18 Dec 2023
uSF: Learning Neural Semantic Field with Uncertainty Vsevolod Skorokhodov Darya Drozdova Dmitry Yudin 26 0 0 13 Dec 2023
Empirical Validation of Conformal Prediction for Trustworthy Skin Lesions Classification Jamil Fayyad Shadi Alijani H. Najjaran OOD 31 6 0 12 Dec 2023
Uncertainty Propagation through Trained Deep Neural Networks Using Factor Graphs A. Daruna Yunye Gong Abhinav Rajvanshi Han-Pang Chiu Yi Yao 14 0 0 10 Dec 2023
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts Jiayi Chen Benteng Ma Hengfei Cui Yong-quan Xia OOD FedML 29 12 0 05 Dec 2023
Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception Lei Fan Mingfu Liang Yunxuan Li Gang Hua Ying Wu 6 5 0 23 Nov 2023
Leveraging Uncertainty Estimates To Improve Classifier Performance Gundeep Arora S. Merugu Anoop Saladi R. Rastogi 17 1 0 20 Nov 2023
Evidential Uncertainty Quantification: A Variance-Based Perspective Ruxiao Duan B. Caffo Harrison X. Bai Haris I. Sair Craig K. Jones UD EDL UQCV BDL PER 34 13 0 19 Nov 2023
Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review Ivo Pascal de Jong A. Sburlea Matias Valdenegro-Toro 19 1 0 15 Nov 2023
Human-in-the-loop: Towards Label Embeddings for Measuring Classification Difficulty Katharina Hechinger Christoph Koller Xiao Xiang Zhu Goran Kauermann UQCV 33 1 0 15 Nov 2023
Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission Jianfeng He Linlin Yu Shuo Lei Chang-Tien Lu Feng Chen UQLM 20 8 0 15 Nov 2023
Early-Exit Neural Networks with Nested Prediction Sets Metod Jazbec Patrick Forré Stephan Mandt Dan Zhang Eric T. Nalisnick UQCV 29 1 0 10 Nov 2023
Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization Russell Hart Linlin Yu Yifei Lou Feng Chen UQCV 20 4 0 10 Nov 2023
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization Hongzheng Yang Cheng Chen Yueyao Chen Markus Scheppach Hon-Chi Yip Qi Dou EDL UQCV 18 8 0 05 Nov 2023
Towards Calibrated Robust Fine-Tuning of Vision-Language Models Changdae Oh Hyesu Lim Mijoo Kim Dongyoon Han Junhyeok Park Euiseog Jeong Alexander G. Hauptmann Zhi-Qi Cheng Kyungwoo Song VLM 27 13 0 03 Nov 2023
Ensemble models outperform single model uncertainties and predictions for operator-learning of hypersonic flows Victor J. Leon Noah Ford Honest Mrema Jeffrey Gilbert Alexander New UQCV AI4CE 15 0 0 31 Oct 2023
Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection Jiaqian Ren Hao Peng Lei Jiang Zhiwei Liu Jia Wu Zhengtao Yu Phillp S. Yu 23 13 0 30 Oct 2023
Efficient IoT Inference via Context-Awareness Mohammad Mehdi Rastikerdar Jin Huang Shiwei Fang Hui Guan Deepak Ganesan 18 0 0 29 Oct 2023
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations Tsai Hor Chan Kin Wai Lau Jiajun Shen Guosheng Yin Lequan Yu UQCV OOD 11 2 0 25 Oct 2023
A comprehensive survey on deep active learning in medical image analysis Haoran Wang Q. Jin Shiman Li Siyu Liu Manning Wang Zhijian Song VLM 46 22 0 22 Oct 2023
Knowledge from Uncertainty in Evidential Deep Learning Cai Davies Marc Roig Vilamala Alun D. Preece Federico Cerutti Lance M. Kaplan Supriyo Chakraborty EDL 14 2 0 19 Oct 2023
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation Taejong Joo Diego Klabjan 35 1 0 16 Oct 2023
Uncertainty Quantification using Generative Approach Yunsheng Zhang UQCV BDL 11 0 0 13 Oct 2023
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation Yilin Lyu Liyuan Wang Xingxing Zhang Zicheng Sun Hang Su Jun Zhu Liping Jing 34 8 0 13 Oct 2023
Leveraging Neural Radiance Fields for Uncertainty-Aware Visual Localization Le Chen Weirong Chen Rui Wang Marc Pollefeys UQCV 25 8 0 10 Oct 2023
EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders Gulcin Baykal M. Kandemir Gözde B. Ünal 19 12 0 09 Oct 2023
V2X Cooperative Perception for Autonomous Driving: Recent Advances and Challenges Tao Huang Jianan Liu Xi Zhou Dinh C. Nguyen M. R. Azghadi Yuxuan Xia Qing-Long Han Sumei Sun 57 36 0 05 Oct 2023
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval Hao Li Marie-Jeanne Lesot Lianli Gao Xiaosu Zhu Christophe Marsala EDL 16 11 0 29 Sep 2023
NetDiffus: Network Traffic Generation by Diffusion Models through Time-Series Imaging Nirhoshan Sivaroopan Dumindu Bandara Chamara Madarasingha Guilluame Jourjon A. Jayasumana Kanchana Thilakarathna DiffM 22 17 0 23 Sep 2023
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications John S. Schreck D. Gagne Charlie Becker William E. Chapman K. Elmore ... Vanessa M. Pryzbylo Jacob T. Radford B. Saavedra Justin Willson Christopher D. Wirz BDL UD OOD UQCV EDL 13 8 0 22 Sep 2023