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Evidential Deep Learning to Quantify Classification Uncertainty

5 June 2018

Papers citing "Evidential Deep Learning to Quantify Classification Uncertainty"

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Title
Dirichlet-Based Prediction Calibration for Learning with Noisy LabelsAAAI Conference on Artificial Intelligence (AAAI), 2024 Chen-Chen Zong Ye-Wen Wang Ming-Kun Xie Sheng-Jun Huang 187 10 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 245 2 0 03 Jan 2024
Uncertainty Regularized Evidential RegressionAAAI Conference on Artificial Intelligence (AAAI), 2024 Kai Ye Tiejin Chen Hua Wei Chen Tang UQCV EDL 202 11 0 03 Jan 2024
METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection Jiaqi Zhu Shaofeng Cai Fang Deng Bengchin Ooi Wenqiao Zhang 208 11 0 28 Dec 2023
A Survey on Open-Set Image Recognition Qiulei Dong Qiulei Dong BDL ObjD 211 10 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 177 13 0 19 Dec 2023
Scaling Up Bayesian Neural Networks with Neural Networks Zahra Moslemi Yang Meng Shiwei Lan Babak Shahbaba BDL 186 3 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 153 13 0 18 Dec 2023
uSF: Learning Neural Semantic Field with Uncertainty Vsevolod Skorokhodov Darya Drozdova Dmitry Yudin 299 2 0 13 Dec 2023
Empirical Validation of Conformal Prediction for Trustworthy Skin Lesions Classification Jamil Fayyad Shadi Alijani Homayoun Najjaran OOD 388 15 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 97 0 0 10 Dec 2023
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain ShiftsComputer Vision and Pattern Recognition (CVPR), 2023 Jiayi Chen Benteng Ma Hengfei Cui Yong-quan Xia OOD FedML 247 27 0 05 Dec 2023
Evidential Active Recognition: Intelligent and Prudent Open-World Embodied PerceptionComputer Vision and Pattern Recognition (CVPR), 2023 Lei Fan Mingfu Liang Yunxuan Li Gang Hua Ying Wu 214 16 0 23 Nov 2023
Leveraging Uncertainty Estimates To Improve Classifier Performance Gundeep Arora S. Merugu Anoop Saladi R. Rastogi 196 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 207 20 0 19 Nov 2023
Human-in-the-loop: Towards Label Embeddings for Measuring Classification Difficulty Katharina Hechinger Christoph Koller Xiao Xiang Zhu Goran Kauermann UQCV 223 2 0 15 Nov 2023
Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission Jianfeng He Linlin Yu Shuo Lei Chang-Tien Lu Feng Chen UQLM 292 13 0 15 Nov 2023
Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review Ivo Pascal de Jong A. Sburlea Matias Valdenegro-Toro 362 3 0 15 Nov 2023
Early-Exit Neural Networks with Nested Prediction SetsConference on Uncertainty in Artificial Intelligence (UAI), 2023 Metod Jazbec Patrick Forré Stephan Mandt Dan Zhang Eric T. Nalisnick UQCV 187 2 0 10 Nov 2023
Improvements on Uncertainty Quantification for Node Classification via Distance-Based RegularizationNeural Information Processing Systems (NeurIPS), 2023 Russell Hart Linlin Yu Yifei Lou Feng Chen UQCV 210 6 0 10 Nov 2023
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward MaximizationNeural Information Processing Systems (NeurIPS), 2023 Hongzheng Yang Cheng Chen Yueyao Chen Markus Scheppach Hon-Chi Yip Qi Dou EDL UQCV 172 10 0 05 Nov 2023
Towards Calibrated Robust Fine-Tuning of Vision-Language ModelsNeural Information Processing Systems (NeurIPS), 2023 Changdae Oh Hyesu Lim Mijoo Kim Dongyoon Han Junhyeok Park Euiseog Jeong Alexander G. Hauptmann Zhi-Qi Cheng Kyungwoo Song VLM 664 27 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 216 0 0 31 Oct 2023
Uncertainty-guided Boundary Learning for Imbalanced Social Event DetectionIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 Jiaqian Ren Hao Peng Lei Jiang Zhiwei Liu Jia Wu Zhengtao Yu Phillp S. Yu 262 24 0 30 Oct 2023
Efficient IoT Inference via Context-Awareness Mohammad Mehdi Rastikerdar Jin Huang Shiwei Fang Hui Guan Deepak Ganesan 236 0 0 29 Oct 2023
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent RepresentationsNeural Information Processing Systems (NeurIPS), 2023 Tsai Hor Chan Kin Wai Lau Jiajun Shen Guosheng Yin Lequan Yu UQCV OOD 208 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 346 70 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 127 2 0 19 Oct 2023
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain AdaptationInternational Conference on Machine Learning (ICML), 2023 Taejong Joo Diego Klabjan 363 1 0 16 Oct 2023
Uncertainty Quantification using Generative Approach Yunsheng Zhang UQCV BDL 84 0 0 13 Oct 2023
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and AdaptationNeural Information Processing Systems (NeurIPS), 2023 Yilin Lyu Liyuan Wang Xingxing Zhang Zicheng Sun Hang Su Jun Zhu Liping Jing 143 13 0 13 Oct 2023
Leveraging Neural Radiance Fields for Uncertainty-Aware Visual LocalizationIEEE International Conference on Robotics and Automation (ICRA), 2023 Le Chen Weirong Chen Rui Wang Marc Pollefeys UQCV 193 17 0 10 Oct 2023
EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational AutoencodersPattern Recognition (Pattern Recogn.), 2023 Gulcin Baykal M. Kandemir Gözde B. Ünal 257 14 0 09 Oct 2023
Vehicle-to-Everything Cooperative Perception for Autonomous DrivingProceedings of the IEEE (Proc. IEEE), 2023 Wei Chen Tao Huang Xi Zhou Dinh C. Nguyen M. R. Azghadi Yuxuan Xia Qing-Long Han Sumei Sun 657 49 0 05 Oct 2023
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal RetrievalNeural Information Processing Systems (NeurIPS), 2023 Hao Li Marie-Jeanne Lesot Lianli Gao Xiaosu Zhu Christophe Marsala EDL 229 28 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 171 42 0 23 Sep 2023
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science ApplicationsArtificial Intelligence for the Earth Systems (AI4ES), 2023 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 272 19 0 22 Sep 2023
Evidential uncertainty sampling for active learning A. Hoarau V. Lemaire Arnaud Martin Jean-Christophe Dubois Y. Gall UQCV EDL PER UD 163 1 0 21 Sep 2023
Using AI Uncertainty Quantification to Improve Human Decision-MakingInternational Conference on Machine Learning (ICML), 2023 L. Marusich J. Bakdash Yan Zhou Murat Kantarcioglu 238 11 0 19 Sep 2023
Improving CLIP Robustness with Knowledge Distillation and Self-Training Clement Laroudie Andrei Bursuc Mai Lan Ha Gianni Franchi VLM 173 6 0 19 Sep 2023
Flexible Visual Recognition by Evidential Modeling of Confusion and IgnoranceIEEE International Conference on Computer Vision (ICCV), 2023 Lei Fan Bo Liu Haoxiang Li Ying Wu Gang Hua 191 7 0 14 Sep 2023
Contrastive Deep Encoding Enables Uncertainty-aware Machine-learning-assisted Histopathology Nirhoshan Sivaroopan Chamuditha Jayanga Chalani Ekanayake Hasindri Watawana Jathurshan Pradeepkumar Mithunjha Anandakumar Ranga Rodrigo Chamira U. S. Edussooriya D. Wadduwage MedIm UQCV 177 0 0 13 Sep 2023
Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation Ling Huang S. Ruan P. Decazes Thierry Denoeux EDL MedIm 205 1 0 12 Sep 2023
Continual Evidential Deep Learning for Out-of-Distribution Detection Eduardo Aguilar Bogdan Raducanu Petia Radeva Joost van de Weijer OODD EDL 175 12 0 06 Sep 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 290 13 0 03 Sep 2023
Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images Tareen Dawood Chen Chen B. Sidhu B. Ruijsink J. Gould ... Vishal S. Mehta C. Rinaldi Esther Puyol-Antón Reza Razavi A. King OOD 191 15 0 29 Aug 2023
Deep Evidential Learning for Bayesian Quantile Regression F. B. Hüttel Filipe Rodrigues Francisco Câmara Pereira UD EDL BDL UQCV 154 8 0 21 Aug 2023
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on RegressionAAAI Conference on Artificial Intelligence (AAAI), 2023 Xuanlong Yu Gianni Franchi Jindong Gu Emanuel Aldea UQCV 241 7 0 17 Aug 2023
DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport Sk Aziz Ali Djamila Aouada Gerd Reis D. Stricker 133 8 0 14 Aug 2023
Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise Fahimeh Fooladgar Minh-Son To P. Mousavi Purang Abolmaesumi NoLa 186 12 0 13 Aug 2023