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What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?

What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

15 March 2017
Alex Kendall
Y. Gal
    BDL
    OOD
    UD
    UQCV
    PER
ArXivPDFHTML

Papers citing "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"

50 / 2,214 papers shown
Title
Learning Solutions of Stochastic Optimization Problems with Bayesian
  Neural Networks
Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks
Alan A. Lahoud
Erik Schaffernicht
J. A. Stork
UQCV
32
0
0
05 Jun 2024
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
T. Pouplin
Alan Jeffares
Nabeel Seedat
Mihaela van der Schaar
58
3
0
05 Jun 2024
Improved context-sensitive transformer model for inland vessel
  trajectory prediction
Improved context-sensitive transformer model for inland vessel trajectory prediction
Kathrin Donandt
Karim Böttger
Dirk Söffker
39
2
0
04 Jun 2024
Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and
  Posterior Value Optimisation in Finite-State MDPs
Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPs
Filippo Valdettaro
A. Aldo Faisal
OffRL
37
0
0
04 Jun 2024
Label-wise Aleatoric and Epistemic Uncertainty Quantification
Label-wise Aleatoric and Epistemic Uncertainty Quantification
Yusuf Sale
Paul Hofman
Timo Löhr
Lisa Wimmer
Thomas Nagler
Eyke Hüllermeier
PER
UD
UQCV
53
7
0
04 Jun 2024
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with
  Temporal Imputation
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation
Mohamed Ragab
Peiliang Gong
Emadeldeen Eldele
Wenyu Zhang
Min-man Wu
Chuan-Sheng Foo
Daoqiang Zhang
Xiaoli Li
Zhenghua Chen
TTA
AI4TS
42
2
0
04 Jun 2024
Diffusion Boosted Trees
Diffusion Boosted Trees
Xizewen Han
Mingyuan Zhou
AI4CE
36
0
0
03 Jun 2024
VOICE: Variance of Induced Contrastive Explanations to quantify
  Uncertainty in Neural Network Interpretability
VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability
Mohit Prabhushankar
Ghassan AlRegib
FAtt
UQCV
43
2
0
01 Jun 2024
Memory-guided Network with Uncertainty-based Feature Augmentation for
  Few-shot Semantic Segmentation
Memory-guided Network with Uncertainty-based Feature Augmentation for Few-shot Semantic Segmentation
Xinyue Chen
Miaojing Shi
48
0
0
01 Jun 2024
A Structured Review of Literature on Uncertainty in Machine Learning &
  Deep Learning
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning
Fahimeh Fakour
Ali Mosleh
Ramin Ramezani
UQCV
UD
PER
51
2
0
01 Jun 2024
Scalable Bayesian Learning with posteriors
Scalable Bayesian Learning with posteriors
Samuel Duffield
Kaelan Donatella
Johnathan Chiu
Phoebe Klett
Daniel Simpson
BDL
UQCV
65
1
0
31 May 2024
Deep Modeling of Non-Gaussian Aleatoric Uncertainty
Deep Modeling of Non-Gaussian Aleatoric Uncertainty
Aastha Acharya
Caleb Lee
Marissa DÁlonzo
Jared Shamwell
Nisar R. Ahmed
Rebecca L. Russell
BDL
46
0
0
30 May 2024
NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the
  Wild
NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild
Weining Ren
Zihan Zhu
Boyang Sun
Jiaqi Chen
Marc Pollefeys
Songyou Peng
48
31
0
29 May 2024
Task-Driven Uncertainty Quantification in Inverse Problems via Conformal
  Prediction
Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction
Jeffrey Wen
Rizwan Ahmad
Philip Schniter
47
2
0
28 May 2024
Confidence-aware multi-modality learning for eye disease screening
Confidence-aware multi-modality learning for eye disease screening
K. Zou
Tian Lin
Zongbo Han
Meng Wang
Xuedong Yuan
Haoyu Chen
Changqing Zhang
Xiaojing Shen
Huazhu Fu
69
3
0
28 May 2024
Enhancing Global Sensitivity and Uncertainty Quantification in Medical
  Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba
Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba
Jiahao Huang
Liutao Yang
Fanwen Wang
Yang Nan
Weiwen Wu
...
Kuangyu Shi
Angelica I. Aviles-Rivero
Carola-Bibiane Schönlieb
Daoqiang Zhang
Guang Yang
Mamba
46
0
0
27 May 2024
Probabilistic Contrastive Learning with Explicit Concentration on the
  Hypersphere
Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere
H. Li
Ouyang Cheng
Tamaz Amiranashvili
Matthew S. Rosen
Bjoern H. Menze
J. Iglesias
43
0
0
26 May 2024
Transitional Uncertainty with Layered Intermediate Predictions
Transitional Uncertainty with Layered Intermediate Predictions
Ryan Benkert
Mohit Prabhushankar
Ghassan AlRegib
48
1
0
25 May 2024
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees
E. Nehme
Rotem Mulayoff
T. Michaeli
UQCV
50
2
0
24 May 2024
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention
  Networks
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networks
Michelle Halbheer
Dominik J. Mühlematter
Alexander Becker
Dominik Narnhofer
Helge Aasen
Konrad Schindler
Mehmet Özgür Türkoglu
UQCV
38
1
0
23 May 2024
Similarity-Navigated Conformal Prediction for Graph Neural Networks
Similarity-Navigated Conformal Prediction for Graph Neural Networks
Jianqing Song
Jianguo Huang
Wenyu Jiang
Baoming Zhang
Shuangjie Li
Chongjun Wang
48
2
0
23 May 2024
Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech
  Foundation Models
Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models
Yuchen Hu
Chen Chen
Chao-Han Huck Yang
Chengwei Qin
Pin-Yu Chen
Chng Eng Siong
Chao Zhang
VLM
33
3
0
23 May 2024
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
Kaizheng Wang
Fabio Cuzzolin
Keivan K1 Shariatmadar
David Moens
Hans Hallez
UQCV
BDL
88
0
0
23 May 2024
LOGIN: A Large Language Model Consulted Graph Neural Network Training
  Framework
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework
Yiran Qiao
Xiang Ao
Yang Liu
Jiarong Xu
Xiaoqian Sun
Qing He
45
4
0
22 May 2024
Counterfactual Gradients-based Quantification of Prediction Trust in
  Neural Networks
Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks
Mohit Prabhushankar
Ghassan AlRegib
UQCV
34
0
0
22 May 2024
System Safety Monitoring of Learned Components Using Temporal Metric
  Forecasting
System Safety Monitoring of Learned Components Using Temporal Metric Forecasting
Sepehr Sharifi
Andrea Stocco
Lionel C. Briand
AI4TS
50
1
0
21 May 2024
Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose
  Prediction from Freehand 2D Ultrasound Videos
Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos
Jayroop Ramesh
Nicola K. Dinsdale
INTERGROWTH-21 Consortium
P. Yeung
Ana I. L. Namburete
MedIm
41
3
0
21 May 2024
EdgeLoc: A Communication-Adaptive Parallel System for Real-Time
  Localization in Infrastructure-Assisted Autonomous Driving
EdgeLoc: A Communication-Adaptive Parallel System for Real-Time Localization in Infrastructure-Assisted Autonomous Driving
Boyi Liu
Jingwen Tong
Yufan Zhuang
29
5
0
20 May 2024
Transfer Learning for CSI-based Positioning with Multi-environment
  Meta-learning
Transfer Learning for CSI-based Positioning with Multi-environment Meta-learning
Anastasios Foliadis
Mario H. Castaneda
R. Stirling-Gallacher
Reiner S. Thomä
30
3
0
20 May 2024
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning
N. Raichur
Lucas Heublein
Tobias Feigl
A. Rügamer
Christopher Mutschler
Felix Ott
CLL
BDL
73
7
0
17 May 2024
Co-Matching: Towards Human-Machine Collaborative Legal Case Matching
Co-Matching: Towards Human-Machine Collaborative Legal Case Matching
Chen Huang
Xinwei Yang
Yang Deng
Wenqiang Lei
Jiancheng Lv
Tat-Seng Chua
AILaw
39
2
0
16 May 2024
The Pitfalls and Promise of Conformal Inference Under Adversarial
  Attacks
The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks
Ziquan Liu
Yufei Cui
Yan Yan
Yi Tian Xu
Xiangyang Ji
Xue Liu
Antoni B. Chan
AAML
27
2
0
14 May 2024
Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation
Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation
JoonHo Lee
Jae Oh Woo
Juree Seok
Parisa Hassanzadeh
Wooseok Jang
...
Hankyu Moon
Wenjun Hu
Yeong-Dae Kwon
Taehee Lee
Seungjai Min
52
2
0
10 May 2024
Mask-TS Net: Mask Temperature Scaling Uncertainty Calibration for Polyp
  Segmentation
Mask-TS Net: Mask Temperature Scaling Uncertainty Calibration for Polyp Segmentation
Yudian Zhang
Chenhao Xu
Kaiye Xu
Haijiang Zhu
49
0
0
09 May 2024
Enhancing Suicide Risk Detection on Social Media through Semi-Supervised
  Deep Label Smoothing
Enhancing Suicide Risk Detection on Social Media through Semi-Supervised Deep Label Smoothing
Matthew Squires
Xiaohui Tao
Soman Elangovan
Rajendra Acharya
R. Gururajan
Haoran Xie
Xujuan Zhou
AI4MH
35
2
0
09 May 2024
General Place Recognition Survey: Towards Real-World Autonomy
General Place Recognition Survey: Towards Real-World Autonomy
Peng Yin
Jianhao Jiao
Shiqi Zhao
Lingyun Xu
Guoquan Huang
Howie Choset
Sebastian A. Scherer
Jianda Han
52
7
0
08 May 2024
Weakly-Supervised Residual Evidential Learning for Multi-Instance
  Uncertainty Estimation
Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation
Pei Liu
Luping Ji
EDL
36
4
0
07 May 2024
Uncertainty Quantification Metrics for Deep Regression
Uncertainty Quantification Metrics for Deep Regression
Simon Kristoffersson Lind
Ziliang Xiong
Per-Erik Forssén
Volker Kruger
UQCV
34
3
0
07 May 2024
MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging
MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging
Yuanye Liu
Zheyao Gao
Nannan Shi
Fuping Wu
Yuxin Shi
Qingchao Chen
Xiahai Zhuang
38
2
0
05 May 2024
KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from
  a Smartwatch
KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch
Christodoulos Kechris
Jonathan Dan
Jose Miranda
David Atienza
33
3
0
02 May 2024
CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot
  Applications
CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications
J. Blumenkamp
Steven D. Morad
Jennifer Gielis
Amanda Prorok
31
4
0
02 May 2024
Uncertainty for Active Learning on Graphs
Uncertainty for Active Learning on Graphs
Dominik Fuchsgruber
Tom Wollschlager
Bertrand Charpentier
Antonio Oroz
Stephan Günnemann
46
10
0
02 May 2024
Predictive Accuracy-Based Active Learning for Medical Image Segmentation
Predictive Accuracy-Based Active Learning for Medical Image Segmentation
Jun Shi
Shulan Ruan
Ziqi Zhu
Minfan Zhao
Hong An
Ambuj Tewari
Bing Yan
UQCV
EDL
26
2
0
01 May 2024
Large Language Model Informed Patent Image Retrieval
Large Language Model Informed Patent Image Retrieval
Hao-Cheng Lo
Jung-Mei Chu
Jieh Hsiang
Chun-Chieh Cho
VLM
35
2
0
30 Apr 2024
The Landscape of Unfolding with Machine Learning
The Landscape of Unfolding with Machine Learning
Nathan Huetsch
Javier Marino Villadamigo
Alexander Shmakov
S. Diefenbacher
Vinicius Mikuni
...
Kevin Greif
Benjamin Nachman
D. Whiteson
A. Butter
Tilman Plehn
45
17
0
29 Apr 2024
Uncertainty-boosted Robust Video Activity Anticipation
Uncertainty-boosted Robust Video Activity Anticipation
Zhaobo Qi
Shuhui Wang
Weigang Zhang
Qingming Huang
43
5
0
29 Apr 2024
Cost-Sensitive Uncertainty-Based Failure Recognition for Object
  Detection
Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection
Moussa Kassem Sbeyti
Michelle Karg
Christian Wirth
Nadja Klein
S. Albayrak
UQCV
31
1
0
26 Apr 2024
Part-Guided 3D RL for Sim2Real Articulated Object Manipulation
Part-Guided 3D RL for Sim2Real Articulated Object Manipulation
Pengwei Xie
Rui Chen
Siang Chen
Yuzhe Qin
Fanbo Xiang
Tianyu Sun
Jing Xu
Guijin Wang
Haoran Su
51
10
0
26 Apr 2024
DiffSeg: A Segmentation Model for Skin Lesions Based on Diffusion
  Difference
DiffSeg: A Segmentation Model for Skin Lesions Based on Diffusion Difference
Zhihao Shuai
Yinan Chen
Shunqiang Mao
Yihan Zho
Xiaohong Zhang
MedIm
38
2
0
25 Apr 2024
A Hybrid Probabilistic Battery Health Management Approach for Robust
  Inspection Drone Operations
A Hybrid Probabilistic Battery Health Management Approach for Robust Inspection Drone Operations
Jokin Alcibar
J. Aizpurua
E. Zugasti
Oier Penagarikano
30
1
0
24 Apr 2024
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