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Gradients as a Measure of Uncertainty in Neural Networks

18 August 2020

Papers citing "Gradients as a Measure of Uncertainty in Neural Networks"

47 / 47 papers shown

Title
Model uncertainty quantification using feature confidence sets for outcome excursions Junting Ren Armin Schwartzman 100 0 0 28 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 82 0 0 04 Apr 2025
RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability Vishwesh Sangarya Jung-Eun Kim 106 0 0 20 Dec 2024
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions Ola Shorinwa Zhiting Mei Justin Lidard Allen Z. Ren Anirudha Majumdar HILM LRM 140 19 0 07 Dec 2024
Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling Guiyu Zhang Huan-ang Gao Zijian Jiang Hao Zhao Zhedong Zheng EGVM 119 6 0 15 Oct 2024
Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances Shuo Lu YingSheng Wang Lijun Sheng Lingxiao He A. Zheng Jian Liang OODD 179 7 0 18 Sep 2024
A Comprehensive Survey on Evidential Deep Learning and Its Applications Junyu Gao Mengyuan Chen Liangyu Xiang Changsheng Xu EDL BDL UQCV 124 6 0 07 Sep 2024
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection A. Benfenati P. Causin Hang Yu Zhedong Zheng 3DPC 117 3 0 01 Aug 2024
Estimating Environmental Cost Throughout Model's Adaptive Life Cycle Vishwesh Sangarya Richard M. Bradford Jung-Eun Kim 60 2 0 23 Jul 2024
Understanding the Dependence of Perception Model Competency on Regions in an Image Sara Pohland Claire Tomlin 68 1 0 15 Jul 2024
Generalizable Physics-Informed Learning for Stochastic Safety-Critical Systems Zhuoyuan Wang Albert Chern Yorie Nakahira 67 0 0 11 Jul 2024
Predictive Dynamic Fusion Bing Cao Yinan Xia Yi Ding Changqing Zhang Qinghua Hu 71 11 0 07 Jun 2024
VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability Mohit Prabhushankar Ghassan AlRegib FAtt UQCV 71 2 0 01 Jun 2024
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning Fahimeh Fakour Ali Mosleh Ramin Ramezani UQCV UD PER 106 3 0 01 Jun 2024
Epistemic Uncertainty Quantification For Pre-trained Neural Network Hanjing Wang Qiang Ji UQCV 72 3 0 15 Apr 2024
LUQ: Long-text Uncertainty Quantification for LLMs Caiqi Zhang Fangyu Liu Marco Basaldella Nigel Collier HILM 86 39 0 29 Mar 2024
GROOD: Gradient-Aware Out-of-Distribution Detection Mostafa ElAraby Sabyasachi Sahoo Y. Pequignot Paul Novello Liam Paull 73 0 0 22 Dec 2023
GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection Jinggang Chen Junjie Li Xiaoyang Qu Jianzong Wang Jiguang Wan Jing Xiao OODD 67 10 0 16 Nov 2023
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective Kun Fang Qinghua Tao Xiaolin Huang Jie Yang OODD 112 3 0 22 Oct 2023
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients Sima Behpour T. Doan Xin Li Wenbin He Liangke Gou Liu Ren OODD 97 17 0 01 Aug 2023
GIT: Detecting Uncertainty, Out-Of-Distribution and Adversarial Samples using Gradients and Invariance Transformations Julia Lust Alexandru Paul Condurache AAML UQCV 54 0 0 05 Jul 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 97 45 0 02 May 2023
Probing the Purview of Neural Networks via Gradient Analysis Jinsol Lee Charles Lehman Mohit Prabhushankar Ghassan AlRegib 104 8 0 06 Apr 2023
Delay-SDE-net: A deep learning approach for time series modelling with memory and uncertainty estimates M. Eggen A. Midtfjord 53 2 0 14 Mar 2023
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis Yiye Chen Yunzhi Lin Ruinian Xu Patricio A. Vela OODD 61 7 0 14 Mar 2023
Example Forgetting: A Novel Approach to Explain and Interpret Deep Neural Networks in Seismic Interpretation Ryan Benkert Oluwaseun Joseph Aribido Ghassan AlRegib 68 8 0 24 Feb 2023
Gaussian Switch Sampling: A Second Order Approach to Active Learning Ryan Benkert Mohit Prabhushankar Ghassan Al-Regib Armin Pacharmi E. Corona AAML 92 9 0 16 Feb 2023
Generalized Uncertainty of Deep Neural Networks: Taxonomy and Applications Chengyu Dong OOD UQCV BDL AI4CE 121 0 0 02 Feb 2023
Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data Ryan Benkert Mohit Prabhushankar Ghassan AlRegib OODD OOD 76 9 0 12 Jan 2023
Explaining Deep Models through Forgettable Learning Dynamics Ryan Benkert Oluwaseun Joseph Aribido Ghassan AlRegib FAtt 48 9 0 10 Jan 2023
Explainable Machine Learning for Hydrocarbon Prospect Risking Ahmad Mustafa Ghassan AlRegib 54 2 0 15 Dec 2022
A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation Lokesh Veeramacheneni Matias Valdenegro-Toro 3DPC UQCV 55 2 0 11 Nov 2022
Introspective Learning : A Two-Stage Approach for Inference in Neural Networks Mohit Prabhushankar Ghassan AlRegib 123 20 0 17 Sep 2022
TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification Xue Li Wei Shen Denis Xavier Charles UQCV EDL 82 3 0 12 Sep 2022
Gradient-based Uncertainty for Monocular Depth Estimation Julia Hornauer Vasileios Belagiannis UQCV 88 32 0 03 Aug 2022
Gradient-Based Adversarial and Out-of-Distribution Detection Jinsol Lee Mohit Prabhushankar Ghassan AlRegib UQCV 167 14 0 16 Jun 2022
Open-Set Recognition with Gradient-Based Representations Jinsol Lee Ghassan AlRegib VLM BDL 69 9 0 16 Jun 2022
How Useful are Gradients for OOD Detection Really? Conor Igoe Youngseog Chung I. Char J. Schneider OODD 84 26 0 20 May 2022
Fine-grained TLS services classification with reject option Jan Luxemburk T. Čejka 65 34 0 24 Feb 2022
Explanatory Paradigms in Neural Networks Ghassan AlRegib Mohit Prabhushankar FAtt XAI 57 12 0 24 Feb 2022
Highlighting Object Category Immunity for the Generalization of Human-Object Interaction Detection Xinpeng Liu Yong-Lu Li Cewu Lu 56 15 0 19 Feb 2022
Gradient-based Novelty Detection Boosted by Self-supervised Binary Classification Jingbo Sun Li Yang Jiaxin Zhang Frank Liu M. Halappanavar Deliang Fan Yu Cao 52 12 0 18 Dec 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 300 355 0 01 Oct 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 242 1,174 0 07 Jul 2021
Contrastive Reasoning in Neural Networks Mohit Prabhushankar Ghassan AlRegib 80 10 0 23 Mar 2021
Extracting Causal Visual Features for Limited label Classification Mohit Prabhushankar Ghassan AlRegib CML 64 21 0 23 Mar 2021
A Review of Open-World Learning and Steps Toward Open-World Learning Without Labels Mohsen Jafarzadeh A. Dhamija Steve Cruz Chunchun Li T. Ahmad Terrance E. Boult VLM OffRL 76 9 0 25 Nov 2020