Papers citing 'Evidential Deep Learning to Quantify Classification Uncertainty'

Title
One-Shot Federated Unsupervised Domain Adaptation with Scaled Entropy Attention and Multi-Source Smoothed Pseudo Labeling Ali Abedi Qiang Wu Ning Zhang Farhad Pourpanah FedML 244 0 0 13 Mar 2025
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies Chen Xu Tony Nguyen Emma Dixon Christopher Rodriguez Patrick Miller Robert Lee Paarth Shah Rares Andrei Ambrus Haruki Nishimura Masha Itkina OffRL 508 12 0 11 Mar 2025
Certainly Bot Or Not? Trustworthy Social Bot Detection via Robust Multi-Modal Neural Processes Qi Wu Yingguang Yang Hao Liu Hao Peng Buyun He Yutong Xia Yong Liao AAML 273 1 0 11 Mar 2025
Evidential Uncertainty Probes for Graph Neural NetworksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025 Linlin Yu Kangshuo Li Pritom Kumar Saha Yifei Lou Feng Chen EDL UQCV 389 0 0 11 Mar 2025
EvidMTL: Evidential Multi-Task Learning for Uncertainty-Aware Semantic Surface Mapping from Monocular RGB Images Rohit Menon Nils Dengler Sicong Pan Gokul Krishna Chenchani Maren Bennewitz EDL 433 0 0 06 Mar 2025
Uncertainty-aware abstention in medical diagnosis based on medical texts Artem Vazhentsev Ivan Sviridov Alvard Barseghyan Gleb Kuzmin Sergey Petrakov A. Nesterov Artem Shelmanov Maxim Panov 364 1 0 25 Feb 2025
Multi-label out-of-distribution detection via evidential learning Eduardo Aguilar Bogdan Raducanu Petia Radeva OODD 223 2 0 25 Feb 2025
Subjective Logic Encodings Jake Vasilakes Chrysoula Zerva Sophia Ananiadou 390 2 0 17 Feb 2025
Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System Perception Divake Kumar Nastaran Darabi Sina Tayebati A. R. Trivedi 448 0 0 11 Feb 2025
A Framework for Supervised and Unsupervised Segmentation and Classification of Materials Microstructure ImagesActa Materialia (Acta Mater.), 2025 Kungang Zhang D. Apley Wei Chen L. Brinson L. Brinson 158 1 0 10 Feb 2025
Temporal Distribution Shift in Real-World Pharmaceutical Data: Implications for Uncertainty Quantification in QSAR ModelsArtificial Intelligence in the Life Sciences (AILS), 2025 Hannah Rosa Friesacher Emma Svensson S. Winiwarter Lewis H. Mervin Adam Arany Ola Engkvist OOD 179 1 0 06 Feb 2025
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition Arthur Hoarau Benjamin Quost Sébastien Destercke Willem Waegeman UQCV UD PER 340 3 0 30 Jan 2025
A Unified Evaluation Framework for Epistemic PredictionsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025 Shireen Kudukkil Manchingal Muhammad Mubashar Kaizheng Wang Fabio Cuzzolin UQCV 243 4 0 28 Jan 2025
Evidential Physics-Informed Neural Networks Hai Siong Tan Kuancheng Wang R. Mcbeth 189 3 0 28 Jan 2025
Early Failure Detection in Autonomous Surgical Soft-Tissue Manipulation via Uncertainty Quantification Jordan Thompson Ronald Koe Anthony Le Gabriella Goodman Daniel S. Brown Alan Kuntz 316 2 0 17 Jan 2025
Label Calibration in Source Free Domain AdaptationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025 Shivangi Rai Rini Smita Thakur Kunal Jangid Vinod K. Kurmi UQCV 242 2 0 13 Jan 2025
Reliable Imputed-Sample Assisted Vertical Federated LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025 Yaopei Zeng Lei Liu Shaoguo Liu Hongjian Dou Baoyuan Wu Li Liu FedML 187 0 0 11 Jan 2025
Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural Networks Ayush Khot Xiwei Wang Avik Roy Volodymyr V. Kindratenko Mark S. Neubauer EDL 221 6 0 10 Jan 2025
Partial-Label Learning with a Reject Option Tobias Fuchs Florian Kalinke Klemens Bohm 341 3 0 08 Jan 2025
Generalized Uncertainty-Based Evidential Fusion with Hybrid Multi-Head Attention for Weak-Supervised Temporal Action LocalizationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024 Yuanpeng He Lijian Li Tianxiang Zhan Wenpin Jiao Chi-Man Pun EDL 275 9 0 27 Dec 2024
Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events Ayush Khot Xihaier Luo Ai Kagawa Shinjae Yoo EDL BDL 316 3 0 18 Dec 2024
Divergent Ensemble Networks: Enhancing Uncertainty Estimation with Shared Representations and Independent Branching Arnav Kharbanda Advait Chandorkar UQCV 327 0 0 02 Dec 2024
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 1.0K 1 0 25 Nov 2024
Customer Lifetime Value Prediction with Uncertainty Estimation Using Monte Carlo Dropout Xinzhe Cao Yadong Xu Xiaofeng Yang 247 0 0 24 Nov 2024
Evidential Federated Learning for Skin Lesion Image ClassificationInternational Conference on Pattern Recognition (ICPR), 2024 Rutger Hendrix Federica Proietto Salanitri C. Spampinato S. Palazzo Ulas Bagci VLM FedML 161 1 0 15 Nov 2024
RTify: Aligning Deep Neural Networks with Human Behavioral DecisionsNeural Information Processing Systems (NeurIPS), 2024 Yu-Ang Cheng I. F. Rodriguez Sixuan Chen Kohitij Kar Takeo Watanabe Thomas Serre 263 8 0 06 Nov 2024
vMF-Contact: Uncertainty-aware Evidential Learning for Probabilistic Contact-grasp in Noisy ClutterIEEE International Conference on Robotics and Automation (ICRA), 2024 Yitian Shi Edgar Welte Maximilian Gilles Rania Rayyes 494 6 0 06 Nov 2024
Generalized Trusted Multi-view Classification Framework with Hierarchical Opinion Aggregation Long Shi Chuanqing Tang Huangyi Deng Cai Xu Lei Xing Badong Chen EDL 387 1 0 06 Nov 2024
Conformal-in-the-Loop for Learning with Imbalanced Noisy Data J. B. Graham-Knight Jamil Fayyad Nourhan Bayasi Patricia Lasserre Homayoun Najjaran 454 0 0 04 Nov 2024
Uncertainty Estimation for 3D Object Detection via Evidential Learning Nikita Durasov Rafid Mahmood Jiwoong Choi Marc T. Law James Lucas Pascal Fua Jose M. Alvarez UQCV EDL 3DPC 321 4 0 31 Oct 2024
Quantifying Calibration Error in Neural Networks Through Evidence-Based TheoryFusion (Fusion), 2024 Koffi Ismael Ouattara Ioannis Krontiris Theo Dimitrakos Frank Kargl UQCV 188 4 0 31 Oct 2024
eDOC: Explainable Decoding Out-of-domain Cell Types with Evidential Learning Chaochen Wu Meiyun Zuo Lei Xie 249 0 0 30 Oct 2024
Legitimate ground-truth-free metrics for deep uncertainty classification scoringInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Arthur Pignet Chiara Regniez John Klein 377 2 0 30 Oct 2024
Uncertainty-Error correlations in Evidential Deep Learning models for biomedical segmentationCommunications in Computer and Information Science (CCIS), 2024 Hai Siong Tan Kuancheng Wang R. Mcbeth UQCV 209 0 0 24 Oct 2024
Which Client is Reliable?: A Reliable and Personalized Prompt-based Federated Learning for Medical Image Question Answering He Zhu Ren Togo Takahiro Ogawa Miki Haseyama MedIm 166 0 0 23 Oct 2024
Constrained Recurrent Bayesian Forecasting for Crack Propagation Sara Yasmine Ouerk Olivier Vo Van Mouadh Yagoubi 165 0 0 18 Oct 2024
The Bayesian Confidence (BACON) Estimator for Deep Neural Networks Patrick D. Kee Max J. Brown Jonathan C. Rice Christian A. Howell UQCV 86 0 0 16 Oct 2024
TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logic Jinqian Chen Jihua Zhu 371 1 0 16 Oct 2024
PSVMA+: Exploring Multi-granularity Semantic-visual Adaption for Generalized Zero-shot LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 Man Liu Yuxi Liu Feng-Qiang Li Chunjie Zhang Y. X. Wei Meng Wang Tat-Seng Chua Yao Zhao 264 4 0 15 Oct 2024
Probabilistic Degeneracy Detection for Point-to-Plane Error MinimizationIEEE Robotics and Automation Letters (RA-L), 2024 Johan Hatleskog Kostas Alexis 3DPC 363 9 0 14 Oct 2024
COME: Test-time adaption by Conservatively Minimizing EntropyInternational Conference on Learning Representations (ICLR), 2024 Qingyang Zhang Yatao Bian Xinke Kong Peilin Zhao Changqing Zhang OOD TTA 813 13 0 12 Oct 2024
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2024 Dingyi Zhuang Chonghe Jiang Yunhan Zheng Shenhao Wang Jinhua Zhao UQCV 308 1 0 12 Oct 2024
Adaptive Label Smoothing for Out-of-Distribution Detection Mingle Xu Jaehwan Lee Sook Yoon D. Park OODD 149 2 0 08 Oct 2024
Dynamic Evidence Decoupling for Trusted Multi-view LearningACM Multimedia (MM), 2024 Ying Liu Lihong Liu Yilin Zhang Xiangyu Song Ziyu Guan Wei Zhao EDL 220 10 0 04 Oct 2024
Revisiting Essential and Nonessential Settings of Evidential Deep LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 Mengyuan Chen Junyu Gao Changsheng Xu EDL 342 4 0 01 Oct 2024
MambaEviScrib: Mamba and Evidence-Guided Consistency Enhance CNN Robustness for Scribble-Based Weakly Supervised Ultrasound Image SegmentationInformation Fusion (Inf. Fusion), 2024 Xiaoxiang Han Xinyu Li Jiang Shang Yiman Liu Keyan Chen Qiaohong Liu Qi Zhang Qi Zhang Mamba 195 0 0 28 Sep 2024
DOTA: Distributional Test-Time Adaptation of Vision-Language Models Zongbo Han Jialong Yang Guangyu Wang Junfan Li Qianli Xu Mike Zheng Shou Changqing Zhang TTA VLM 360 10 0 28 Sep 2024
Face Forgery Detection with Elaborate Backbone Zonghui Guo Y. Liu Jie Zhang Haiyong Zheng Shiguang Shan AAML CVBM 240 2 0 25 Sep 2024
Trustworthy Hate Speech Detection Through Visual Augmentation Ziyuan Yang Ming Yan Yingyu Chen Hui Wang Zexin Lu Yi Zhang 85 1 0 20 Sep 2024
Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action DetectionConference on Multimedia Information Processing and Retrieval (MIPR), 2024 Xiang Fang Arvind Easwaran B. Genest 358 7 0 16 Sep 2024