Evidential Deep Learning to Quantify Classification Uncertainty

5 June 2018

Papers citing "Evidential Deep Learning to Quantify Classification Uncertainty"

50 / 487 papers shown

Title
Dataset Distillation with Probabilistic Latent Features Zhe Li Sarah Cechnicka C. Ouyang Katharina Breininger Peter J. Schüffler Bernhard Kainz DD 42 0 0 10 May 2025
Position: Epistemic Artificial Intelligence is Essential for Machine Learning Models to Know When They Do Not Know Shireen Kudukkil Manchingal Fabio Cuzzolin 49 0 0 08 May 2025
Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models Aishwarya Venkataramanan P. Bodesheim Joachim Denzler BDL VLM 64 0 0 08 May 2025
Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks Xuyang Wang Siyuan Duan Qizhi Li Guiduo Duan Yuan Sun Dezhong Peng AAML EDL 57 0 0 07 May 2025
Uncertainty Quantification for Machine Learning in Healthcare: A Survey L. J. L. Lopez Shaza Elsharief Dhiyaa Al Jorf Firas Darwish Congbo Ma Farah E. Shamout 98 0 0 04 May 2025
FADEL: Uncertainty-aware Fake Audio Detection with Evidential Deep Learning Ju Yeon Kang J. Yoon Semin Kim Min Hyun Han Nam Soo Kim 27 0 0 22 Apr 2025
Prior2Former -- Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation Sebastian Schmidt Julius Körner Dominik Fuchsgruber Stefano Gasperini F. Tombari Stephan Günnemann 26 0 0 07 Apr 2025
ATM-Net: Anatomy-Aware Text-Guided Multi-Modal Fusion for Fine-Grained Lumbar Spine Segmentation Sheng Lian Dengfeng Pan Jianlong Cai Guang-Yong Chen Zhun Zhong Zhiming Luo Shen Zhao Shuo Li 34 0 0 04 Apr 2025
Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation Hongliang Chi Qiong Wu Zhengyi Zhou Yao Ma TDI AAML 68 0 0 23 Mar 2025
Audio-Enhanced Vision-Language Modeling with Latent Space Broadening for High Quality Data Expansion Yu Sun Yin Li R.-H. Sun Chunhui Liu Fangming Zhou Ze Jin Linjie Wang Xiang Shen Zhuolin Hao Hongyu Xiong VLM 48 0 0 21 Mar 2025
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey Xiaoou Liu Tiejin Chen Longchao Da Chacha Chen Zhen Lin Hua Wei HILM 64 3 0 20 Mar 2025
Efficient Post-Hoc Uncertainty Calibration via Variance-Based Smoothing Fabian Denoodt José Oramas UQCV 69 0 0 19 Mar 2025
Robust Audio-Visual Segmentation via Audio-Guided Visual Convergent Alignment Chen Liu Peike Li Liying Yang Dadong Wang Lincheng Li Xin Yu VOS 62 0 0 17 Mar 2025
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 63 0 0 13 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 61 0 0 11 Mar 2025
Evidential Uncertainty Probes for Graph Neural Networks Linlin Yu Kangshuo Li Pritom Kumar Saha Yifei Lou Feng Chen EDL UQCV 82 0 0 11 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 "Tree" Miller Robert Lee Paarth Shah Rares Ambrus Haruki Nishimura Masha Itkina OffRL 80 2 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 88 0 0 06 Mar 2025
Improving Plasticity in Non-stationary Reinforcement Learning with Evidential Proximal Policy Optimization Abdullah Akgul Gulcin Baykal Manuel Haußmann M. Kandemir 38 0 0 03 Mar 2025
Uncertainty-aware abstention in medical diagnosis based on medical texts Artem Vazhentsev Ivan Sviridov Alvard Barseghyan Gleb Kuzmin Alexander Panchenko A. Nesterov Artem Shelmanov Maxim Panov 51 0 0 25 Feb 2025
Multi-label out-of-distribution detection via evidential learning Eduardo Aguilar Bogdan Raducanu P. Radeva OODD 53 0 0 25 Feb 2025
Subjective Logic Encodings Jake Vasilakes Chrysoula Zerva Sophia Ananiadou 46 0 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 69 0 0 11 Feb 2025
A Framework for Supervised and Unsupervised Segmentation and Classification of Materials Microstructure Images Kungang Zhang D. Apley Wei Chen Wing Kam Liu L. Brinson 32 0 0 10 Feb 2025
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition Arthur Hoarau Benjamin Quost Sébastien Destercke Willem Waegeman UQCV UD PER 66 0 0 30 Jan 2025
A Unified Evaluation Framework for Epistemic Predictions Shireen Kudukkil Manchingal Muhammad Mubashar Kaizheng Wang Fabio Cuzzolin UQCV 61 2 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 47 1 0 17 Jan 2025
Label Calibration in Source Free Domain Adaptation Shivangi Rai Rini Smita Thakur Kunal Jangid Vinod K. Kurmi UQCV 43 1 0 13 Jan 2025
Partial-Label Learning with a Reject Option Tobias Fuchs Florian Kalinke Klemens Bohm 40 0 0 08 Jan 2025
Generalized Uncertainty-Based Evidential Fusion with Hybrid Multi-Head Attention for Weak-Supervised Temporal Action Localization Yuanpeng He Lijian Li Tianxiang Zhan Wenpin Jiao Chi-Man Pun EDL 52 1 0 27 Dec 2024
Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events Ayush Khot Xihaier Luo Ai Kagawa Shinjae Yoo EDL BDL 81 0 0 18 Dec 2024
Divergent Ensemble Networks: Enhancing Uncertainty Estimation with Shared Representations and Independent Branching Arnav Kharbanda Advait Chandorkar UQCV 67 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 89 1 0 25 Nov 2024
Customer Lifetime Value Prediction with Uncertainty Estimation Using Monte Carlo Dropout Xinzhe Cao Yadong Xu Xiaofeng Yang 72 0 0 24 Nov 2024
Evidential Federated Learning for Skin Lesion Image Classification Rutger Hendrix Federica Proietto Salanitri C. Spampinato S. Palazzo Ulas Bagci VLM FedML 21 0 0 15 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 30 0 0 06 Nov 2024
RTify: Aligning Deep Neural Networks with Human Behavioral Decisions Yu-Ang Cheng I. F. Rodriguez Sixuan Chen Kohitij Kar Takeo Watanabe Thomas Serre 40 3 0 06 Nov 2024
vMF-Contact: Uncertainty-aware Evidential Learning for Probabilistic Contact-grasp in Noisy Clutter Yitian Shi Edgar Welte Maximilian Gilles Rania Rayyes 30 3 0 06 Nov 2024
Conformal-in-the-Loop for Learning with Imbalanced Noisy Data J. B. Graham-Knight Jamil Fayyad Nourhan Bayasi Patricia Lasserre H. Najjaran 35 0 0 04 Nov 2024
Quantifying calibration error in modern neural networks through evidence based theory Koffi Ismael Ouattara UQCV 32 0 0 31 Oct 2024
Uncertainty Estimation for 3D Object Detection via Evidential Learning N. Durasov Rafid Mahmood Jiwoong Choi Marc T. Law James Lucas Pascal Fua Jose M. Alvarez UQCV EDL 3DPC 47 1 0 31 Oct 2024
eDOC: Explainable Decoding Out-of-domain Cell Types with Evidential Learning Chaochen Wu Meiyun Zuo Lei Xie 40 0 0 30 Oct 2024
Legitimate ground-truth-free metrics for deep uncertainty classification scoring Arthur Pignet Chiara Regniez John Klein 64 1 0 30 Oct 2024
Uncertainty-Error correlations in Evidential Deep Learning models for biomedical segmentation Hai Siong Tan Kuancheng Wang R. Mcbeth UQCV 23 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 21 0 0 23 Oct 2024
Constrained Recurrent Bayesian Forecasting for Crack Propagation Sara Yasmine Ouerk Olivier Vo Van Mouadh Yagoubi 32 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 21 0 0 16 Oct 2024
TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logic Jinqian Chen Jihua Zhu 26 0 0 16 Oct 2024
PSVMA+: Exploring Multi-granularity Semantic-visual Adaption for Generalized Zero-shot Learning Man Liu H. Bai Feng-Qiang Li Chunjie Zhang Y. X. Wei Meng Wang Tat-Seng Chua Yao Zhao 32 0 0 15 Oct 2024
Probabilistic Degeneracy Detection for Point-to-Plane Error Minimization Johan Hatleskog Kostas Alexis 3DPC 37 0 0 14 Oct 2024