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1910.04858
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Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate
AAAI Conference on Artificial Intelligence (AAAI), 2019
28 September 2019
Lu Mi
Hao Wang
Yonglong Tian
Hao He
Nir Shavit
UQCV
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Papers citing
"Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate"
21 / 21 papers shown
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Haizhou Shi
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Hyperdimensional Uncertainty Quantification for Multimodal Uncertainty Fusion in Autonomous Vehicles Perception
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Luke Chen
Junyao Wang
Trier Mortlock
Pramod P. Khargonekar
M. A. Al Faruque
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382
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25 Mar 2025
Unsupervised and Source-Free Ranking of Biomedical Segmentation Models
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Kevin Marchesini
Luca Lumetti
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Anna Kreshuk
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01 Mar 2025
Revisiting Gradient-based Uncertainty for Monocular Depth Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
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Amir El-Ghoussani
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253
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09 Feb 2025
Uncertainty Quantification With Noise Injection in Neural Networks: A Bayesian Perspective
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Jipeng Li
E. Kuruoglu
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233
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21 Jan 2025
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation
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Rongjun Qin
Markus Ulrich
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259
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14 Jan 2025
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions
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Ola Shorinwa
Zhiting Mei
Justin Lidard
Allen Z. Ren
Anirudha Majumdar
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367
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Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Michele De Vita
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363
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Epistemic Uncertainty Quantification For Pre-trained Neural Network
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Qiang Ji
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146
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Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Huiyi Wang
Haodong Lu
Lina Yao
Dong Gong
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284
24
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27 Mar 2024
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation
Conference on Robot Learning (CoRL), 2023
Zizhang Wu
Zhuozheng Li
Zhi-Gang Fan
Yunzhe Wu
Xiaoquan Wang
Rui Tang
Jian Pu
263
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26 Sep 2023
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression
AAAI Conference on Artificial Intelligence (AAAI), 2023
Xuanlong Yu
Gianni Franchi
Jindong Gu
Emanuel Aldea
UQCV
225
7
0
17 Aug 2023
Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation
Mochu Xiang
Jing Zhang
Nick Barnes
Yuchao Dai
UQCV
149
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19 Jul 2023
Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing
Neural Information Processing Systems (NeurIPS), 2023
Ziyan Wang
Hao Wang
UQCV
507
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11 Jun 2023
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference
Nikita Durasov
Nik Dorndorf
Hieu M. Le
Pascal Fua
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247
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Knowing What to Label for Few Shot Microscopy Image Cell Segmentation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Youssef Dawoud
Arij Bouazizi
Katharina Ernst
G. Carneiro
Vasileios Belagiannis
98
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18 Nov 2022
SmOOD: Smoothness-based Out-of-Distribution Detection Approach for Surrogate Neural Networks in Aircraft Design
International Conference on Automated Software Engineering (ASE), 2022
Houssem Ben Braiek
Ali Tfaily
Foutse Khomh
Thomas Reid
Ciro Guida
207
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Gradient-based Uncertainty for Monocular Depth Estimation
European Conference on Computer Vision (ECCV), 2022
Julia Hornauer
Vasileios Belagiannis
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Latent Discriminant deterministic Uncertainty
European Conference on Computer Vision (ECCV), 2022
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Xuanlong Yu
Andrei Bursuc
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David Filliat
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184
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Self-supervised Remote Sensing Images Change Detection at Pixel-level
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Lorenzo Bruzzone
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