ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1910.04858
  4. Cited By
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity
  as a Surrogate
v1v2v3 (latest)

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
ArXiv (abs)PDFHTML

Papers citing "Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate"

21 / 21 papers shown
Title
Towards Trustworthy Vital Sign Forecasting: Leveraging Uncertainty for Prediction Intervals
Towards Trustworthy Vital Sign Forecasting: Leveraging Uncertainty for Prediction Intervals
Li Wang
T. Henderson
Yew Soon Ong
Yih Yng Ng
Xiuyi Fan
157
0
0
01 Sep 2025
TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning
TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning
Tunyu Zhang
Haizhou Shi
Yibin Wang
Hengyi Wang
Xiaoxiao He
...
Ligong Han
Kai Xu
Huatian Zhang
Dimitris N. Metaxas
Hao Wang
LRM
412
5
0
16 May 2025
Hyperdimensional Uncertainty Quantification for Multimodal Uncertainty Fusion in Autonomous Vehicles Perception
Hyperdimensional Uncertainty Quantification for Multimodal Uncertainty Fusion in Autonomous Vehicles PerceptionComputer Vision and Pattern Recognition (CVPR), 2025
Luke Chen
Junyao Wang
Trier Mortlock
Pramod P. Khargonekar
M. A. Al Faruque
UQCV
382
1
0
25 Mar 2025
Unsupervised and Source-Free Ranking of Biomedical Segmentation Models
Unsupervised and Source-Free Ranking of Biomedical Segmentation Models
Joshua Talks
Kevin Marchesini
Luca Lumetti
Federico Bolelli
Anna Kreshuk
779
0
0
01 Mar 2025
Revisiting Gradient-based Uncertainty for Monocular Depth EstimationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Julia Hornauer
Amir El-Ghoussani
Vasileios Belagiannis
UQCV
253
3
0
09 Feb 2025
Uncertainty Quantification With Noise Injection in Neural Networks: A Bayesian Perspective
Uncertainty Quantification With Noise Injection in Neural Networks: A Bayesian Perspective
Xueqiong Yuan
Jipeng Li
E. Kuruoglu
UQCVBDL
233
1
0
21 Jan 2025
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation
S. Landgraf
Rongjun Qin
Markus Ulrich
UQCV
259
3
0
14 Jan 2025
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future DirectionsACM Computing Surveys (ACM CSUR), 2024
Ola Shorinwa
Zhiting Mei
Justin Lidard
Allen Z. Ren
Anirudha Majumdar
HILMLRM
367
19
0
07 Dec 2024
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty EstimationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Michele De Vita
Vasileios Belagiannis
DiffM
363
3
0
29 Nov 2024
Epistemic Uncertainty Quantification For Pre-trained Neural Network
Epistemic Uncertainty Quantification For Pre-trained Neural Network
Hanjing Wang
Qiang Ji
UQCV
146
6
0
15 Apr 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Huiyi Wang
Haodong Lu
Lina Yao
Dong Gong
KELMCLL
284
24
0
27 Mar 2024
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for
  Depth Estimation
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth EstimationConference on Robot Learning (CoRL), 2023
Zizhang Wu
Zhuozheng Li
Zhi-Gang Fan
Yunzhe Wu
Xiaoquan Wang
Rui Tang
Jian Pu
263
2
0
26 Sep 2023
Discretization-Induced Dirichlet Posterior for Robust Uncertainty
  Quantification on Regression
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on RegressionAAAI 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
Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation
Mochu Xiang
Jing Zhang
Nick Barnes
Yuchao Dai
UQCV
149
6
0
19 Jul 2023
Variational Imbalanced Regression: Fair Uncertainty Quantification via
  Probabilistic Smoothing
Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic SmoothingNeural Information Processing Systems (NeurIPS), 2023
Ziyan Wang
Hao Wang
UQCV
507
0
0
11 Jun 2023
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step
  Inference
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference
Nikita Durasov
Nik Dorndorf
Hieu M. Le
Pascal Fua
UQCV
247
17
0
21 Nov 2022
Knowing What to Label for Few Shot Microscopy Image Cell Segmentation
Knowing What to Label for Few Shot Microscopy Image Cell SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Youssef Dawoud
Arij Bouazizi
Katharina Ernst
G. Carneiro
Vasileios Belagiannis
98
6
0
18 Nov 2022
SmOOD: Smoothness-based Out-of-Distribution Detection Approach for
  Surrogate Neural Networks in Aircraft Design
SmOOD: Smoothness-based Out-of-Distribution Detection Approach for Surrogate Neural Networks in Aircraft DesignInternational Conference on Automated Software Engineering (ASE), 2022
Houssem Ben Braiek
Ali Tfaily
Foutse Khomh
Thomas Reid
Ciro Guida
207
0
0
07 Sep 2022
Gradient-based Uncertainty for Monocular Depth Estimation
Gradient-based Uncertainty for Monocular Depth EstimationEuropean Conference on Computer Vision (ECCV), 2022
Julia Hornauer
Vasileios Belagiannis
UQCV
211
33
0
03 Aug 2022
Latent Discriminant deterministic Uncertainty
Latent Discriminant deterministic UncertaintyEuropean Conference on Computer Vision (ECCV), 2022
Gianni Franchi
Xuanlong Yu
Andrei Bursuc
Emanuel Aldea
Séverine Dubuisson
David Filliat
UQCV
184
18
0
20 Jul 2022
Self-supervised Remote Sensing Images Change Detection at Pixel-level
Self-supervised Remote Sensing Images Change Detection at Pixel-level
Yuxing Chen
Lorenzo Bruzzone
SSL
190
20
0
18 May 2021
1