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Evidential Deep Learning to Quantify Classification Uncertainty

5 June 2018

Papers citing "Evidential Deep Learning to Quantify Classification Uncertainty"

50 / 572 papers shown

Title
Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis Soumya Dutta Faheem Nizar Ahmad Amaan Ayan Acharya AAML 202 1 0 22 May 2024
Towards Certification of Uncertainty Calibration under Adversarial Attacks Cornelius Emde Francesco Pinto Thomas Lukasiewicz Juil Sock Adel Bibi AAML 482 2 0 22 May 2024
CoLeaF: A Contrastive-Collaborative Learning Framework for Weakly Supervised Audio-Visual Video ParsingEuropean Conference on Computer Vision (ECCV), 2024 Faegheh Sardari A. Mustafa Philip J. B. Jackson Adrian Hilton 367 10 0 17 May 2024
Wasserstein Gradient Boosting: A General Framework with Applications to Posterior RegressionNeural Information Processing Systems (NeurIPS), 2024 Takuo Matsubara 149 0 0 15 May 2024
Improving Deep Learning Model Calibration for Cardiac Applications using Deterministic Uncertainty Networks and Uncertainty-aware Training Tareen Dawood B. Ruijsink Reza Razavi Andrew P. King Esther Puyol-Antón UQCV 213 1 0 10 May 2024
Uncertainty-aware Semantic Mapping in Off-road Environments with Dempster-Shafer Theory of Evidence Junyoung Kim Junwon Seo 151 3 0 10 May 2024
General Place Recognition Survey: Towards Real-World Autonomy Peng Yin Jianhao Jiao Shiqi Zhao Lingyun Xu Guoquan Huang Howie Choset Sebastian A. Scherer Jianda Han 420 19 0 08 May 2024
Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation Pei Liu Luping Ji EDL 314 6 0 07 May 2024
The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning Ransalu Senanayake 257 11 0 06 May 2024
Elevator, Escalator, or Neither? Classifying Conveyor State Using Smartphone under Arbitrary Pedestrian BehaviorIEEE Transactions on Mobile Computing (IEEE TMC), 2024 Tianlang He Zhiqiu Xia S.-H. Gary Chan 246 0 0 06 May 2024
MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging Yuanye Liu Zheyao Gao Nannan Shi Fuping Wu Yuxin Shi Qingchao Chen Xiahai Zhuang 317 0 0 05 May 2024
Out-of-distribution Detection in Medical Image Analysis: A survey Zesheng Hong Yubiao Yue Yubin Chen Lele Cong Huanjie Lin ... Jialong Xu Xiaoqi Yang Hechang Chen Zhenzhang Li Sihong Xie OOD 182 15 0 28 Apr 2024
Camera Agnostic Two-Head Network for Ego-Lane Inference Chaehyeon Song Sungho Yoon Minhyeok Heo Ayoung Kim Sujung Kim EgoV 106 0 0 19 Apr 2024
Trusted Multi-view Learning under Noisy Supervision Yilin Zhang Yilin Zhang Ziyu Guan Ziyu Guan Wei Zhao Xiaofei He Murat Sensoy NoLa EDL 477 12 0 18 Apr 2024
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty Changbin Li Kangshuo Li Yuzhe Ou Lance M. Kaplan A. Jøsang Jin-Hee Cho Dong Hyun. Jeong Feng Chen UQCV BDL EDL 229 6 0 17 Apr 2024
Awareness of uncertainty in classification using a multivariate model and multi-views Alexey Kornaev E. Kornaeva Oleg Ivanov Ilya Pershin Danis Alukaev UQCV EDL 221 1 0 16 Apr 2024
CREST: Cross-modal Resonance through Evidential Deep Learning for Enhanced Zero-Shot Learning Haojian Huang Xiaozhen Qiao Zhuo Chen Haodong Chen Bingyu Li Zhe Sun Mulin. Chen Xuelong Li 323 18 0 15 Apr 2024
An Evidential-enhanced Tri-Branch Consistency Learning Method for Semi-supervised Medical Image SegmentationIEEE Transactions on Instrumentation and Measurement (IEEE Trans. Instrum. Meas.), 2024 Zhenxi Zhang Heng Zhou Xiaoran Shi Ran Ran Chunna Tian Feng Zhou 178 18 0 10 Apr 2024
Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks Fulong Ma Weiqing Qi Guoyang Zhao Linwei Zheng Sheng Wang Yuxuan Liu Ming-Yuan Liu 259 16 0 10 Apr 2024
EPL: Evidential Prototype Learning for Semi-supervised Medical Image Segmentation Yuanpeng He EDL 363 3 0 09 Apr 2024
Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation Yuanpeng He Lijian Li UQCV EDL 292 5 0 09 Apr 2024
Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation M. Dreissig Florian Piewak Joschka Boedecker 249 1 0 09 Apr 2024
Towards detecting unanticipated bias in Large Language Models Anna Kruspe 225 7 0 03 Apr 2024
BAM: Box Abstraction Monitors for Real-time OoD Detection in Object Detection Changshun Wu Weicheng He Chih-Hong Cheng Xiaowei Huang Saddek Bensalem 191 5 0 27 Mar 2024
Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with Relative Geometric Consistency Yingjie Xu Bangzhen Liu Hao Tang Bailin Deng Shengfeng He 207 5 0 26 Mar 2024
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding Lingdong Kong Xiang Xu Jun Cen Wenwei Zhang Liang Pan Kai-xiang Chen Ziwei Liu 272 12 0 25 Mar 2024
Evidential Semantic Mapping in Off-road Environments with Uncertainty-aware Bayesian Kernel Inference Junyoung Kim Junwon Seo Jihong Min UQCV 195 10 0 21 Mar 2024
Thinking in Groups: Permutation Tests Reveal Near-Out-of-Distribution Yasith Jayawardana Azeem Ahmad B. Ahluwalia Rafi Ahmad OOD 83 0 0 21 Mar 2024
Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution ShiftsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 H. Bui Anqi Liu OOD BDL UQCV 303 5 0 07 Mar 2024
Credibility-Aware Multi-Modal Fusion Using Probabilistic Circuits Sahil Sidheekh Pranuthi Tenali Saurabh Mathur Erik Blasch Kristian Kersting S. Natarajan 204 4 0 05 Mar 2024
Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models Jinqian Chen Jihua Zhu Qinghai Zheng Zhongyu Li Zhiqiang Tian FedML 195 3 0 26 Feb 2024
Reliable Conflictive Multi-View Learning Yilin Zhang Jiajun Si Ziyu Guan Wei Zhao Yue Wu Xiyue Gao 323 88 0 24 Feb 2024
Improving Explainable Object-induced Model through Uncertainty for Automated Vehicles Shihong Ling Yue Wan Xiaowei Jia Na Du 150 4 0 23 Feb 2024
Generalising realisability in statistical learning theory under epistemic uncertainty Fabio Cuzzolin CML 212 0 0 22 Feb 2024
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex Yasushi Esaki Akihiro Nakamura Keisuke Kawano Ryoko Tokuhisa Takuro Kutsuna 321 3 0 21 Feb 2024
Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation Wen Wu Yue Liu Chuxu Zhang Chung-Cheng Chiu Qiujia Li Junwen Bai Tara N. Sainath P. Woodland 161 4 0 20 Feb 2024
Predictive Uncertainty Quantification via Risk Decompositions for Strictly Proper Scoring Rules Nikita Kotelevskii Maxim Panov PER UQCV UD 342 3 0 16 Feb 2024
Conformalized Credal Set Predictors Alireza Javanmardi David Stutz Eyke Hüllermeier 213 15 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 244 35 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 197 5 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 207 26 0 14 Feb 2024
Selective Learning: Towards Robust Calibration with Dynamic Regularization Zongbo Han Yifeng Yang Changqing Zhang Linjun Zhang Qiufeng Wang Qinghua Hu 197 6 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 285 11 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 196 0 0 11 Feb 2024
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage? Maohao Shen J. Jon Ryu Soumya Ghosh Yuheng Bu P. Sattigeri Subhro Das Greg Wornell EDL BDL UQCV 203 7 0 09 Feb 2024
uPLAM: Robust Panoptic Localization and Mapping Leveraging Perception Uncertainties Kshitij Sirohi Daniel Buscher Wolfram Burgard 199 1 0 08 Feb 2024
Credal Learning Theory Michele Caprio Maryam Sultana Eleni Elia Fabio Cuzzolin FedML 387 19 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 124 5 0 30 Jan 2024
Reliability and Interpretability in Science and Deep Learning Luigi Scorzato 214 16 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 Leilei Gan Yu-feng Yao 144 1 0 14 Jan 2024