Title
U-FaceBP: Uncertainty-aware Bayesian Ensemble Deep Learning for Face Video-based Blood Pressure Measurement Yusuke Akamatsu Terumi Umematsu Hitoshi Imaoka CVBM 75 0 0 14 Dec 2024
Making the Flow Glow -- Robot Perception under Severe Lighting Conditions using Normalizing Flow Gradients Simon Kristoffersson Lind Rudolph Triebel V. Krüger 77 0 0 10 Dec 2024
Training-Free Bayesianization for Low-Rank Adapters of Large Language Models Haizhou Shi Yibin Wang Ligong Han H. M. Zhang Hao Wang UQCV 83 0 0 07 Dec 2024
A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs Wangbo Zhao Yizeng Han Jiasheng Tang ZeLin Li Yibing Song Kaidi Wang Zhangyang Wang Yang You 83 7 0 04 Dec 2024
Enhancing Trust in Large Language Models with Uncertainty-Aware Fine-Tuning R. Krishnan Piyush Khanna Omesh Tickoo HILM 72 1 0 03 Dec 2024
Reducing Inference Energy Consumption Using Dual Complementary CNNs Michail Kinnas John Violos I. Kompatsiaris Symeon Papadopoulos 67 1 0 02 Dec 2024
Context-Based Echo State Networks with Prediction Confidence for Human-Robot Shared Control Negin Amirshirzad Mehmet Arda Eren Erhan Oztop 62 0 0 30 Nov 2024
Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression Tao Sun Sander M. Bohté UQCV BDL 96 0 0 29 Nov 2024
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification Sara Pohland Claire Tomlin UQCV 71 1 0 22 Nov 2024
Uncertainty Quantification in Working Memory via Moment Neural Networks Hengyuan Ma Wenlian Lu Jianfeng Feng 64 0 0 21 Nov 2024
Ghost-Connect Net: A Generalization-Enhanced Guidance For Sparse Deep Networks Under Distribution Shifts Mary Isabelle Wisell Salimeh Yasaei Sekeh 23 0 0 14 Nov 2024
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification Jannik Franzen Claudia Winklmayr Vanessa Emanuela Guarino Christoph Karg Xiaoyan Yu Nora Koreuber Jan P. Albrecht Philip Bischoff Dagmar Kainmueller 43 0 0 11 Nov 2024
Trends, Challenges, and Future Directions in Deep Learning for Glaucoma: A Systematic Review Mahtab Faraji Homa Rashidisabet George R. Nahass R. Chan Thasarat S Vajaranant Darvin Yi 32 0 0 07 Nov 2024
vMF-Contact: Uncertainty-aware Evidential Learning for Probabilistic Contact-grasp in Noisy Clutter Yitian Shi Edgar Welte Maximilian Gilles Rania Rayyes 32 3 0 06 Nov 2024
Confidence Calibration of Classifiers with Many Classes Adrien LeCoz Stéphane Herbin Faouzi Adjed UQCV 37 1 0 05 Nov 2024
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training Junhao Dong Xinghua Qu Zhiyuan Wang Yew-Soon Ong AAML 50 1 0 05 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 34 0 0 31 Oct 2024
Unlocking the Potential of Global Human Expertise Elliot Meyerson Olivier Francon Darren Sargent B. Hodjat Risto Miikkulainen 47 2 0 31 Oct 2024
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models Mohammad Beigi Sijia Wang Ying Shen Zihao Lin Adithya Kulkarni ... Ming Jin Jin-Hee Cho Dawei Zhou Chang-Tien Lu Lifu Huang 29 1 0 26 Oct 2024
Can Uncertainty Quantification Enable Better Learning-based Index Tuning? Tao Yu Zhaonian Zou Hao Xiong 23 1 0 23 Oct 2024
Inverse Reinforcement Learning from Non-Stationary Learning Agents Kavinayan P. Sivakumar Yi Shen Zachary I. Bell Scott A. Nivison Boyuan Chen Michael M. Zavlanos 35 1 0 18 Oct 2024
TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logic Jinqian Chen Jihua Zhu 31 0 0 16 Oct 2024
Probabilistic Degeneracy Detection for Point-to-Plane Error Minimization Johan Hatleskog Kostas Alexis 3DPC 47 2 0 14 Oct 2024
Uncertainty Estimation and Out-of-Distribution Detection for LiDAR Scene Semantic Segmentation Hanieh Shojaei Qianqian Zou Max Mehltretter UQCV 20 0 0 11 Oct 2024
Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging Xiaoling Hu Karthik Gopinath Peirong Liu Malte Hoffmann Koen van Leemput O. Puonti J. Iglesias OOD UQCV 43 0 0 11 Oct 2024
Active Evaluation Acquisition for Efficient LLM Benchmarking Yang Li Jie Ma Miguel Ballesteros Yassine Benajiba Graham Horwood ELM 29 1 0 08 Oct 2024
Generalizability analysis of deep learning predictions of human brain responses to augmented and semantically novel visual stimuli Valentyn Piskovskyi Riccardo Chimisso Sabrina Patania Tom Foulsham Giuseppe Vizzari Dimitri Ognibene 28 0 0 06 Oct 2024
Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning Nils Lehmann Jakob Gawlikowski Adam J. Stewart Vytautas Jancauskas Stefan Depeweg Eric T. Nalisnick N. Gottschling 42 0 0 04 Oct 2024
Dynamic Obstacle Avoidance through Uncertainty-Based Adaptive Planning with Diffusion Vineet Punyamoorty Pascal Jutras-Dubé Ruqi Zhang Vaneet Aggarwal Damon Conover Aniket Bera 36 0 0 25 Sep 2024
Generalizing monocular colonoscopy image depth estimation by uncertainty-based global and local fusion network Sijia Du Chengfeng Zhou Suncheng Xiang Jianwei Xu Dahong Qian MedIm MDE 37 0 0 23 Sep 2024
Relationship between Uncertainty in DNNs and Adversarial Attacks Abigail Adeniran Adewale Adeyemo Adewale Adeyemo AAML 20 0 0 20 Sep 2024
An Efficient Model-Agnostic Approach for Uncertainty Estimation in Data-Restricted Pedometric Applications Viacheslav Barkov Jonas Schmidinger Robin Gebbers Martin Atzmueller 28 1 0 18 Sep 2024
Calibrated Multivariate Regression with Localized PIT Mappings Lucas Kock G. S. Rodrigues Scott A. Sisson Nadja Klein David J. Nott 24 0 0 17 Sep 2024
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks Dingyi Zhuang Yuheng Bu Guang Wang Shenhao Wang Jinhua Zhao BDL 34 1 0 13 Sep 2024
DDEvENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI Chenjun Li Dian Yang Shun Yao Shuyue Wang Ye Wu ... C. Westin L. O’Donnell N. Sochen O. Pasternak Fan Zhang UQCV 45 0 0 11 Sep 2024
Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks Farah Alsafadi Aidan Furlong Xu Wu UQCV AI4CE 39 3 0 09 Sep 2024
SEF: A Method for Computing Prediction Intervals by Shifting the Error Function in Neural Networks E. V. Aretos D. G. Sotiropoulos 25 0 0 08 Sep 2024
PIETRA: Physics-Informed Evidential Learning for Traversing Out-of-Distribution Terrain Xiaoyi Cai James Queeney Tong Xu A. Datar Chenhui Pan ... Ashton Flather Philip R. Osteen Nicholas Roy Xuesu Xiao Jonathan P. How 28 9 0 04 Sep 2024
Evidential Transformers for Improved Image Retrieval Danilo Dordevic Suryansh Kumar ViT 40 0 0 02 Sep 2024
Deep Probabilistic Traversability with Test-time Adaptation for Uncertainty-aware Planetary Rover Navigation Masafumi Endo Tatsunori Taniai Genya Ishigami 29 1 0 01 Sep 2024
Learning Latent Space Dynamics with Model-Form Uncertainties: A Stochastic Reduced-Order Modeling Approach Jin Yi Yong Rudy Geelen Johann Guilleminot 28 1 0 30 Aug 2024
UTrack: Multi-Object Tracking with Uncertain Detections Edgardo Solano-Carrillo Felix Sattler Antje Alex Alexander Klein Bruno Pereira Costa Ángel Bueno Rodríguez Jannis Stoppe VOT 39 1 0 30 Aug 2024
Uncertainty quantification for intervals Carlos García-Meixide Michael R. Kosorok Marcos Matabuena CML 47 0 0 29 Aug 2024
Beyond Uncertainty: Evidential Deep Learning for Robust Video Temporal Grounding Kaijing Ma Haojian Huang Jin Chen Haodong Chen Pengliang Ji ... Han Fang Chao Ban Hao Sun Mulin. Chen Xuelong Li 37 7 0 29 Aug 2024
A nudge to the truth: atom conservation as a hard constraint in models of atmospheric composition using an uncertainty-weighted correction Patrick Obin Sturm Sam J. Silva 22 0 0 28 Aug 2024
Gallery-Aware Uncertainty Estimation For Open-Set Face Recognition Leonid Erlygin Alexey Zaytsev CVBM UQCV EDL 36 0 0 26 Aug 2024
Evidential Deep Partial Multi-View Classification With Discount Fusion Haojian Huang Zhe Liu S. Letchmunan Muhammet Deveci Mingwei Lin Weizhong Wang 42 4 0 23 Aug 2024
The Dilemma of Uncertainty Estimation for General Purpose AI in the EU AI Act Matias Valdenegro-Toro Radina Stoykova 19 0 0 20 Aug 2024
Quantification of total uncertainty in the physics-informed reconstruction of CVSim-6 physiology Mario De Florio Zongren Zou Daniele E. Schiavazzi George Karniadakis 31 3 0 13 Aug 2024