Evidential Deep Learning to Quantify Classification Uncertainty

5 June 2018

Papers citing "Evidential Deep Learning to Quantify Classification Uncertainty"

50 / 487 papers shown

Title
Predictive Dynamic Fusion Bing Cao Yinan Xia Yi Ding Changqing Zhang Qinghua Hu 29 8 0 07 Jun 2024
Regularized KL-Divergence for Well-Defined Function-Space Variational Inference in Bayesian neural networks Tristan Cinquin Robert Bamler UQCV BDL 38 2 0 06 Jun 2024
Linear Opinion Pooling for Uncertainty Quantification on Graphs C. Damke Eyke Hüllermeier 36 1 0 06 Jun 2024
Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation M. Zenk David Zimmerer Fabian Isensee Jeremias Traub T. Norajitra Paul F. Jäger Klaus H. Maier-Hein 39 4 0 05 Jun 2024
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation Mohamed Ragab Peiliang Gong Emadeldeen Eldele Wenyu Zhang Min-man Wu Chuan-Sheng Foo Daoqiang Zhang Xiaoli Li Zhenghua Chen TTA AI4TS 40 2 0 04 Jun 2024
Navigating Conflicting Views: Harnessing Trust for Learning Jueqing Lu Lan Du Wray L. Buntine M. Jung Joanna Dipnall Belinda Gabbe 43 0 0 03 Jun 2024
Robust Classification by Coupling Data Mollification with Label Smoothing Markus Heinonen Ba-Hien Tran Michael Kampffmeyer Maurizio Filippone 70 0 0 03 Jun 2024
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning Fahimeh Fakour Ali Mosleh Ramin Ramezani UQCV UD PER 38 1 0 01 Jun 2024
CONFINE: Conformal Prediction for Interpretable Neural Networks Linhui Huang S. Lala N. Jha 68 2 0 01 Jun 2024
Confidence-aware multi-modality learning for eye disease screening K. Zou Tian Lin Zongbo Han Meng Wang Xuedong Yuan Haoyu Chen Changqing Zhang Xiaojing Shen Huazhu Fu 53 3 0 28 May 2024
Transitional Uncertainty with Layered Intermediate Predictions Ryan Benkert M. Prabhushankar Ghassan AlRegib 42 1 0 25 May 2024
Bayesian WeakS-to-Strong from Text Classification to Generation Ziyun Cui Ziyang Zhang Wen Wu Wen Wu Chao Zhang 31 1 0 24 May 2024
DuEDL: Dual-Branch Evidential Deep Learning for Scribble-Supervised Medical Image Segmentation Yitong Yang Xinli Xu Haigen Hu Haixia Long Qianwei Zhou Qiu Guan FedML MedIm 34 0 0 23 May 2024
Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis Soumya Dutta Faheem Nizar Ahmad Amaan Ayan Acharya AAML 35 1 0 22 May 2024
Towards Certification of Uncertainty Calibration under Adversarial Attacks Cornelius Emde Francesco Pinto Thomas Lukasiewicz Philip H. S. Torr Adel Bibi AAML 42 0 0 22 May 2024
CoLeaF: A Contrastive-Collaborative Learning Framework for Weakly Supervised Audio-Visual Video Parsing Faegheh Sardari A. Mustafa Philip J. B. Jackson Adrian Hilton 14 3 0 17 May 2024
Wasserstein Gradient Boosting: A General Framework with Applications to Posterior Regression Takuo Matsubara 19 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 45 1 0 10 May 2024
Uncertainty-aware Semantic Mapping in Off-road Environments with Dempster-Shafer Theory of Evidence Junyoung Kim Junwon Seo 30 1 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 47 7 0 08 May 2024
Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation Pei Liu Luping Ji EDL 24 4 0 07 May 2024
Elevator, Escalator or Neither? Classifying Pedestrian Conveyor State Using Inertial Navigation System Tianlang He Zhiqiu Xia S.-H. Gary Chan 31 0 0 06 May 2024
The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning Ransalu Senanayake 32 8 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 25 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 36 5 0 28 Apr 2024
Camera Agnostic Two-Head Network for Ego-Lane Inference Chaehyeon Song Sungho Yoon Minhyeok Heo Ayoung Kim Sujung Kim EgoV 23 0 0 19 Apr 2024
Trusted Multi-view Learning with Label Noise Cai Xu Yilin Zhang Ziyu Guan Wei Zhao NoLa EDL 47 4 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 30 5 0 17 Apr 2024
Awareness of uncertainty in classification using a multivariate model and multi-views Alexey Kornaev E. Kornaeva Oleg Ivanov Ilya S. Pershin Danis Alukaev UQCV EDL 44 0 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 31 10 0 15 Apr 2024
An Evidential-enhanced Tri-Branch Consistency Learning Method for Semi-supervised Medical Image Segmentation Zhenxi Zhang Heng Zhou Xiaoran Shi Ran Ran Chunna Tian Feng Zhou 21 6 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-Yu Liu 74 9 0 10 Apr 2024
EPL: Evidential Prototype Learning for Semi-supervised Medical Image Segmentation Yuanpeng He EDL 39 1 0 09 Apr 2024
Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation Yuanpeng He Lijian Li UQCV EDL 42 1 0 09 Apr 2024
Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation M. Dreissig Florian Piewak Joschka Boedecker 29 1 0 09 Apr 2024
Towards detecting unanticipated bias in Large Language Models Anna Kruspe 33 3 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 36 1 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 14 4 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 50 5 0 25 Mar 2024
Evidential Semantic Mapping in Off-road Environments with Uncertainty-aware Bayesian Kernel Inference Junyoung Kim Junwon Seo Jihong Min UQCV 35 5 0 21 Mar 2024
Hypothesis-Driven Deep Learning for Out of Distribution Detection Yasith Jayawardana Azeem Ahmad B. Ahluwalia Rafi Ahmad Sampath Jayarathna D. Wadduwage OOD 14 0 0 21 Mar 2024
Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution Shifts H. Bui Anqi Liu OOD BDL UQCV 41 4 0 07 Mar 2024
Credibility-Aware Multi-Modal Fusion Using Probabilistic Circuits Sahil Sidheekh Pranuthi Tenali Saurabh Mathur Erik Blasch Kristian Kersting S. Natarajan 34 1 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 19 3 0 26 Feb 2024
Reliable Conflictive Multi-View Learning Cai Xu Jiajun Si Ziyu Guan Wei Zhao Yue Wu Xiyue Gao 43 51 0 24 Feb 2024
Improving Explainable Object-induced Model through Uncertainty for Automated Vehicles Shihong Ling Yue Wan Xiaowei Jia Na Du 36 1 0 23 Feb 2024
Generalising realisability in statistical learning theory under epistemic uncertainty Fabio Cuzzolin CML 40 0 0 22 Feb 2024
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex Yasushi Esaki Akihiro Nakamura Keisuke Kawano Ryoko Tokuhisa Takuro Kutsuna 40 0 0 21 Feb 2024
Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation Wen Wu Bo-wen Li C. Zhang Chung-Cheng Chiu Qiujia Li Junwen Bai Tara N. Sainath P. Woodland 25 2 0 20 Feb 2024
Predictive Uncertainty Quantification via Risk Decompositions for Strictly Proper Scoring Rules Nikita Kotelevskii Maxim Panov PER UQCV UD 27 4 0 16 Feb 2024