Addressing Failure Prediction by Learning Model Confidence

1 October 2019

Papers citing "Addressing Failure Prediction by Learning Model Confidence"

50 / 54 papers shown

Title
Panoramic Out-of-Distribution Segmentation Mengfei Duan Kailun Yang Y. Zhang Yihong Cao Fei Teng Kai Luo Jiaming Zhang Zhiyong Li Shutao Li 59 0 0 06 May 2025
Aerial Image Classification in Scarce and Unconstrained Environments via Conformal Prediction Farhad Pourkamali-Anaraki 36 0 0 24 Apr 2025
Peek into the `White-Box': A Field Study on Bystander Engagement with Urban Robot Uncertainty Xinyan Yu Marius Hoggenmueller Tram Thi Minh Tran Yiyuan Wang Qiuming Zhang M. Tomitsch 34 0 0 01 Mar 2025
CARE: Confidence-Aware Regression Estimation of building density fine-tuning EO Foundation Models Nikolaos Dionelis Jente Bosmans Nicolas Longépé 71 0 0 19 Feb 2025
PPGF: Probability Pattern-Guided Time Series Forecasting Yanru Sun Zongxia Xie Haoyu Xing Hualong Yu Q. Hu AI4TS 48 0 0 18 Feb 2025
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors Shuangpeng Han Mengmi Zhang 119 0 0 03 Oct 2024
A3Rank: Augmentation Alignment Analysis for Prioritizing Overconfident Failing Samples for Deep Learning Models Zhengyuan Wei Haipeng Wang Qili Zhou William Chan 34 0 0 19 Jul 2024
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers Jonas Ngnawé Sabyasachi Sahoo Y. Pequignot Frédéric Precioso Christian Gagné AAML 39 0 0 26 Jun 2024
Trustworthy Enhanced Multi-view Multi-modal Alzheimer's Disease Prediction with Brain-wide Imaging Transcriptomics Data Shan Cong Zhoujie Fan Hongwei Liu Yinghan Zhang Xin Wang Haoran Luo Xiaohui Yao 30 1 0 21 Jun 2024
A Causal Framework for Evaluating Deferring Systems Filippo Palomba Andrea Pugnana Jose M. Alvarez Salvatore Ruggieri CML 48 1 0 29 May 2024
Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty Luca Mossina Joseba Dalmau Léo Andéol UQCV 40 12 0 16 Apr 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction Fei Zhu Xu-Yao Zhang Zhen Cheng Cheng-Lin Liu UQCV 49 10 0 05 Mar 2024
NoisyICL: A Little Noise in Model Parameters Calibrates In-context Learning Yufeng Zhao Yoshihiro Sakai Naoya Inoue 33 3 0 08 Feb 2024
OpenForest: A data catalogue for machine learning in forest monitoring Arthur Ouaknine T. Kattenborn Etienne Laliberté David Rolnick 45 5 0 01 Nov 2023
Deep Insights into Noisy Pseudo Labeling on Graph Data Botao Wang Jia Li Yang Liu Jiashun Cheng Yu Rong Wenjia Wang Fugee Tsung NoLa 27 8 0 02 Oct 2023
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression Xuanlong Yu Gianni Franchi Jindong Gu Emanuel Aldea UQCV 16 4 0 17 Aug 2023
Rethinking Confidence Calibration for Failure Prediction Fei Zhu Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu UQCV 16 39 0 06 Mar 2023
Iterative Assessment and Improvement of DNN Operational Accuracy Antonio Guerriero R. Pietrantuono S. Russo AI4CE 12 4 0 02 Mar 2023
DOMINO: Domain-aware Loss for Deep Learning Calibration Skylar E. Stolte Kyle Volle A. Indahlastari Alejandro Albizu A. Woods Kevin Brink Matthew Hale R. Fang MedIm 13 1 0 10 Feb 2023
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification Paul F. Jaeger Carsten T. Lüth Lukas Klein Till J. Bungert UQCV 26 35 0 28 Nov 2022
TrustGAN: Training safe and trustworthy deep learning models through generative adversarial networks Hélion Marie du Mas des Bourboux 21 1 0 25 Nov 2022
One-Class Risk Estimation for One-Class Hyperspectral Image Classification Hengwei Zhao Yanfei Zhong Xinyu Wang H. Shu 26 8 0 27 Oct 2022
TiDAL: Learning Training Dynamics for Active Learning Seong Min Kye Kwanghee Choi Hyeongmin Byun Buru Chang 34 13 0 13 Oct 2022
Robust Models are less Over-Confident Julia Grabinski Paul Gavrikov J. Keuper M. Keuper AAML 33 24 0 12 Oct 2022
A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories Julian Wiederer Julian Schmidt U. Kressel Klaus C. J. Dietmayer Vasileios Belagiannis AI4TS 45 7 0 05 Sep 2022
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction Hu Wang Jianpeng Zhang Yuanhong Chen Congbo Ma Jodie Avery Louise Hull G. Carneiro UQCV 19 18 0 22 Jul 2022
Latent Discriminant deterministic Uncertainty Gianni Franchi Xuanlong Yu Andrei Bursuc Emanuel Aldea Séverine Dubuisson David Filliat UQCV 24 18 0 20 Jul 2022
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot 39 1 0 18 Jul 2022
Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data Guoxuan Xia C. Bouganis OODD 16 27 0 15 Jul 2022
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition M. Tellamekala Shahin Amiriparian Björn W. Schuller Elisabeth André T. Giesbrecht M. Valstar 26 25 0 12 Jun 2022
A Closer Look at Branch Classifiers of Multi-exit Architectures Shaohui Lin Bo Ji Rongrong Ji Angela Yao 12 4 0 28 Apr 2022
GOSS: Towards Generalized Open-set Semantic Segmentation Jie Hong Weihong Li Junlin Han Jiyang Zheng Pengfei Fang Mehrtash Harandi L. Petersson VLM 19 19 0 23 Mar 2022
Learning Confidence for Transformer-based Neural Machine Translation Yu Lu Jiali Zeng Jiajun Zhang Shuangzhi Wu Mu Li 36 9 0 22 Mar 2022
Reducing Overconfidence Predictions for Autonomous Driving Perception Gledson Melotti C. Premebida Jordan J. Bird Diego Resende Faria Nuno Gonccalves 8 7 0 16 Feb 2022
Probabilistic Approach for Road-Users Detection Gledson Melotti Weihao Lu Pedro Conde Dezong Zhao A. Asvadi Nuno Gonçalves C. Premebida 27 2 0 02 Dec 2021
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions Huan Ma Zongbo Han Changqing Zhang Huazhu Fu Qiufeng Wang Q. Hu EDL UQCV 71 42 0 11 Nov 2021
Anomaly Detection in Multi-Agent Trajectories for Automated Driving Julian Wiederer Arij Bouazizi Marco Troina U. Kressel Vasileios Belagiannis 41 22 0 15 Oct 2021
FSNet: A Failure Detection Framework for Semantic Segmentation Q. Rahman Niko Sünderhauf Peter Corke Feras Dayoub UQCV SSeg 27 19 0 19 Aug 2021
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot UQCV 24 48 0 03 Aug 2021
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles Jiefeng Chen Frederick Liu Besim Avci Xi Wu Yingyu Liang S. Jha 24 61 0 29 Jun 2021
On Deep Neural Network Calibration by Regularization and its Impact on Refinement Aditya Singh Alessandro Bay B. Sengupta Andrea Mirabile AAML 27 2 0 17 Jun 2021
Empowering Language Understanding with Counterfactual Reasoning Fuli Feng Jizhi Zhang Xiangnan He Hanwang Zhang Tat-Seng Chua LRM 21 33 0 06 Jun 2021
Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems Sophia J. Abraham Zachariah Carmichael Sreya Banerjee Rosaura G. VidalMata Ankit Agrawal M. N. A. Islam Walter J. Scheirer J. Cleland-Huang 26 19 0 28 Mar 2021
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models Zhen Lin Cao Xiao Lucas Glass M. P. M. Brandon Westover Jimeng Sun BDL 21 11 0 05 Mar 2021
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends Q. Rahman Peter Corke Feras Dayoub OOD 27 51 0 05 Jan 2021
Active Deep Learning on Entity Resolution by Risk Sampling Youcef Nafa Qun Chen Zhaoqiang Chen Xingyu Lu Haiyang He Tianyi Duan Zhanhuai Li 10 16 0 23 Dec 2020
Confidence Estimation via Auxiliary Models Charles Corbière Nicolas Thome A. Saporta Tuan-Hung Vu Matthieu Cord P. Pérez TPM 29 47 0 11 Dec 2020
PEP: Parameter Ensembling by Perturbation Alireza Mehrtash Purang Abolmaesumi Polina Golland Tina Kapur Demian Wassermann W. Wells 17 10 0 24 Oct 2020
Failure Prediction by Confidence Estimation of Uncertainty-Aware Dirichlet Networks Theodoros Tsiligkaridis UQCV 22 7 0 19 Oct 2020
Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity Vincent Le Guen Nicolas Thome AI4TS 18 26 0 14 Oct 2020