Title
Continual Evidential Deep Learning for Out-of-Distribution Detection Eduardo Aguilar Bogdan Raducanu P. Radeva Joost van de Weijer OODD EDL 22 7 0 06 Sep 2023
Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art Tanujit Chakraborty Ujjwal Reddy K S Shraddha M. Naik Madhurima Panja B. Manvitha 27 61 0 30 Aug 2023
3D Adversarial Augmentations for Robust Out-of-Domain Predictions Alexander Lehner Stefano Gasperini Alvaro Marcos-Ramiro Michael Schmidt Nassir Navab Benjamin Busam F. Tombari 3DPC 33 7 0 29 Aug 2023
Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images Tareen Dawood Chia-Ju Chen B. Sidhu B. Ruijsink J. Gould ... Vishal S. Mehta C. Rinaldi Esther Puyol-Antón Reza Razavi A. King OOD 27 10 0 29 Aug 2023
Learning to Intervene on Concept Bottlenecks David Steinmann Wolfgang Stammer Felix Friedrich Kristian Kersting 17 19 0 25 Aug 2023
Bayesian Reasoning for Physics Informed Neural Networks K. Graczyk Kornel Witkowski 38 0 0 25 Aug 2023
Cross-Video Contextual Knowledge Exploration and Exploitation for Ambiguity Reduction in Weakly Supervised Temporal Action Localization Songchun Zhang Chunhui Zhao 45 2 0 24 Aug 2023
Using Artificial Populations to Study Psychological Phenomena in Neural Models Jesse Roberts Kyle Moore Drew Wilenzick Doug Fisher 19 6 0 15 Aug 2023
Confidence Contours: Uncertainty-Aware Annotation for Medical Semantic Segmentation Andre Ye Quan Ze Chen Amy X. Zhang UQCV 27 1 0 15 Aug 2023
Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation for Pixel-wise Regression Anton Baumann Thomas Roßberg Michael Schmitt UQCV 20 1 0 14 Aug 2023
Uncertainty Quantification for Image-based Traffic Prediction across Cities Alexander Timans Nina Wiedemann Nishant Kumar Ye Hong Martin Raubal 18 1 0 11 Aug 2023
Defensive Perception: Estimation and Monitoring of Neural Network Performance under Deployment Hendrik Vogt Stefan A. Buehler Mark Schutera 8 0 0 11 Aug 2023
Likelihood-ratio-based confidence intervals for neural networks Laurens Sluijterman Eric Cator Tom Heskes UQCV 33 0 0 04 Aug 2023
Calibration in Deep Learning: A Survey of the State-of-the-Art Cheng Wang UQCV 34 36 0 02 Aug 2023
On the use of deep learning for phase recovery Kaiqiang Wang Li Song Chutian Wang Zhenbo Ren Guangyuan Zhao ... Jianglei Di George Barbastathis Renjie Zhou Jianlin Zhao E. Lam 18 72 0 02 Aug 2023
ELFNet: Evidential Local-global Fusion for Stereo Matching Jieming Lou Weide Liu Zhu Chen Fayao Liu Jun Cheng 12 22 0 01 Aug 2023
Learning to Generate Training Datasets for Robust Semantic Segmentation Marwane Hariat Olivier Laurent Rémi Kazmierczak Shihao Zhang Andrei Bursuc Angela Yao Gianni Franchi UQCV 21 2 0 01 Aug 2023
Uncertainty in Natural Language Generation: From Theory to Applications Joris Baan Nico Daheim Evgenia Ilia Dennis Ulmer Haau-Sing Li Raquel Fernández Barbara Plank Rico Sennrich Chrysoula Zerva Wilker Aziz UQLM 34 40 0 28 Jul 2023
What, Indeed, is an Achievable Provable Guarantee for Learning-Enabled Safety Critical Systems Saddek Bensalem Chih-Hong Cheng Wei Huang Xiaowei Huang Changshun Wu Xingyu Zhao AAML 27 6 0 20 Jul 2023
Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search Shengli Jiang Shiyi Qin Reid C. Van Lehn Prasanna Balaprakash Victor M. Zavala AI4CE 29 7 0 19 Jul 2023
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation S. Landgraf Markus Hillemann Kira Wursthorn Markus Ulrich SSeg UQCV 26 6 0 19 Jul 2023
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks Dominik Schnaus Jongseok Lee Daniel Cremers Rudolph Triebel UQCV BDL 38 1 0 15 Jul 2023
Quantification of Uncertainty with Adversarial Models Kajetan Schweighofer L. Aichberger Mykyta Ielanskyi G. Klambauer Sepp Hochreiter UQCV 40 14 0 06 Jul 2023
Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs Miao Xiong Zhiyuan Hu Xinyang Lu Yifei Li Jie Fu Junxian He Bryan Hooi 28 370 0 22 Jun 2023
Finite-time Lyapunov exponents of deep neural networks L. Storm H. Linander J. Bec K. Gustavsson Bernhard Mehlig 16 6 0 21 Jun 2023
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift Florian Seligmann P. Becker Michael Volpp Gerhard Neumann UQCV 21 14 0 21 Jun 2023
Uncertainty Estimation for Molecules: Desiderata and Methods Tom Wollschlager Nicholas Gao Bertrand Charpentier Mohamed Amine Ketata Stephan Günnemann 23 9 0 20 Jun 2023
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning Nikunj Gupta Somjit Nath Samira Ebrahimi Kahou 25 0 0 19 Jun 2023
Accelerated, physics-inspired inference of skeletal muscle microstructure from diffusion-weighted MRI Noel M. Naughton Stacey Cahoon Bradley P. Sutton J. Georgiadis DiffM MedIm 19 1 0 19 Jun 2023
Exploring Resolution Fields for Scalable Image Compression with Uncertainty Guidance Dongyi Zhang Feng Li Man Liu Runmin Cong H. Bai Hao Wu Yao-Min Zhao 26 7 0 15 Jun 2023
Improving Selective Visual Question Answering by Learning from Your Peers Corentin Dancette Spencer Whitehead Rishabh Maheshwary Ramakrishna Vedantam Stefan Scherer Xinlei Chen Matthieu Cord Marcus Rohrbach AAML OOD 38 16 0 14 Jun 2023
MUBen: Benchmarking the Uncertainty of Molecular Representation Models Yinghao Li Lingkai Kong Yuanqi Du Yue Yu Yuchen Zhuang Wenhao Mu Chao Zhang 32 9 0 14 Jun 2023
Deep Gaussian Mixture Ensembles Yousef El-Laham Niccolò Dalmasso Elizabeth Fons Svitlana Vyetrenko BDL UQCV 33 2 0 12 Jun 2023
Topology-Aware Uncertainty for Image Segmentation Saumya Gupta Yikai Zhang Xiaoling Hu Prateek Prasanna Chao Chen 28 27 0 09 Jun 2023
Beyond Probability Partitions: Calibrating Neural Networks with Semantic Aware Grouping Jia-Qi Yang De-Chuan Zhan Le Gan UQCV 27 5 0 08 Jun 2023
A Large-Scale Study of Probabilistic Calibration in Neural Network Regression V. Dheur Souhaib Ben Taieb BDL 35 13 0 05 Jun 2023
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications Mengting Hu Zhen Zhang Shiwan Zhao Minlie Huang Bingzhe Wu BDL 31 34 0 05 Jun 2023
Probabilistic Uncertainty Quantification of Prediction Models with Application to Visual Localization Junan Chen Josephine Monica Wei-Lun Chao Mark E. Campbell 20 4 0 31 May 2023
A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehicles Michaël Fonder Marc Van Droogenbroeck 14 0 0 31 May 2023
Probabilistic computation and uncertainty quantification with emerging covariance He Ma Yong Qi Li Zhang Wenlian Lu Jianfeng Feng 11 1 0 30 May 2023
Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-aware Network Yinglin Zhang Ruiling Xi Huazhu Fu D. Towey Ruibin Bai Risa Higashita Jiang-Dong Liu 15 2 0 30 May 2023
UMat: Uncertainty-Aware Single Image High Resolution Material Capture Carlos Rodriguez-Pardo Henar Dominguez-Elvira David Pascual-Hernández Elena Garces 22 15 0 25 May 2023
How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods for Selective Classification with Deep Neural Networks L. F. P. Cattelan Danilo Silva UQCV 27 5 0 24 May 2023
Sampling-based Uncertainty Estimation for an Instance Segmentation Network Florian Heidecker A. El-khateeb Bernhard Sick UQCV 27 1 0 24 May 2023
Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers A. Venkataramanan Assia Benbihi Martin Laviale C´edric Pradalier UQCV 37 7 0 23 May 2023
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variability F. Casenave B. Staber Xavier Roynard AI4CE 24 14 0 22 May 2023
Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging Problems Luzhe Huang Jianing Li Xiaofu Ding Yijie Zhang Hanlong Chen Aydogan Ozcan UQCV 16 1 0 22 May 2023
Self-Aware Trajectory Prediction for Safe Autonomous Driving Wenbo Shao Jun Li Hong Wang 43 11 0 16 May 2023
Self-Supervised Learning for Organs At Risk and Tumor Segmentation with Uncertainty Quantification I. Isler Debesh Jha C. Lisle J. Rineer P. Kelly B. Aydogan M. Abazeed D. Turgut Ulas Bagci ViT MedIm UQCV 33 2 0 04 May 2023
Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles Aik Rui Tan S. Urata Samuel Goldman Johannes C. B. Dietschreit Rafael Gómez-Bombarelli BDL 38 42 0 02 May 2023