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Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep
  Learning
v1v2v3v4 (latest)

Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning

International Conference on Learning Representations (ICLR), 2020
15 February 2020
Arsenii Ashukha
Alexander Lyzhov
Dmitry Molchanov
Dmitry Vetrov
    UQCVFedML
ArXiv (abs)PDFHTML

Papers citing "Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning"

50 / 229 papers shown
How (Mis)calibrated is Your Federated CLIP and What To Do About It?
How (Mis)calibrated is Your Federated CLIP and What To Do About It?
Mainak Singha
Masih Aminbeidokhti
Paolo Casari
Elisa Ricci
Subhankar Roy
FedMLVLM
234
0
0
03 Dec 2025
U4D: Uncertainty-Aware 4D World Modeling from LiDAR Sequences
U4D: Uncertainty-Aware 4D World Modeling from LiDAR Sequences
Xiang Xu
Ao Liang
Youquan Liu
Linfeng Li
Lingdong Kong
Ziwei Liu
Qingshan Liu
VGen
193
3
0
02 Dec 2025
Shadows in the Code: Exploring the Risks and Defenses of LLM-based Multi-Agent Software Development Systems
Shadows in the Code: Exploring the Risks and Defenses of LLM-based Multi-Agent Software Development Systems
Xiaoqing Wang
Keman Huang
Bin Liang
Hongyu Li
Xiaoyong Du
LLMAGAAML
248
1
0
23 Nov 2025
A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis
A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis
Ciaran Bench
Oskar Pfeffer
Vivek Desai
Mohammad Moulaeifard
Loic Coquelin
Peter H. Charlton
Nils Strodthoff
Nando Hegemann
Philip Aston
Andrew Thompson
211
0
0
31 Oct 2025
Deep Ensembles for Epistemic Uncertainty: A Frequentist Perspective
Deep Ensembles for Epistemic Uncertainty: A Frequentist Perspective
Anchit Jain
Stephen Bates
UDUQCVPER
342
0
0
24 Oct 2025
Latent Uncertainty Representations for Video-based Driver Action and Intention Recognition
Latent Uncertainty Representations for Video-based Driver Action and Intention Recognition
Koen Vellenga
H. Steinhauer
Jonas Andersson
Anders Sjögren
174
1
0
06 Oct 2025
ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking
ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking
Shyma Alhuwaider
Motasem Alfarra
Juan C. Pérez
Merey Ramazanova
Bernard Ghanem
TTA
260
0
0
02 Sep 2025
Domain Adaptation via Feature Refinement
Domain Adaptation via Feature Refinement
S. Karatsiolis
A. Kamilaris
OOD
159
1
0
22 Aug 2025
A Confidence-Diversity Framework for Calibrating AI Judgement in Accessible Qualitative Coding Tasks
A Confidence-Diversity Framework for Calibrating AI Judgement in Accessible Qualitative Coding Tasks
Zhilong Zhao
Yindi Liu
190
0
0
04 Aug 2025
Towards real-time assessment of infrasound event detection capability using deep learning-based transmission loss estimation
Towards real-time assessment of infrasound event detection capability using deep learning-based transmission loss estimation
Alice Janela Cameijo
Alexis Le Pichon
Youcef Sklab
Souhila Arib
Quentin Brissaud
Sven peter Naesholm
Constantino Listowski
Samir Aknine
203
1
0
03 Jun 2025
UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs
UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Raghav Mehta
Karthik Gopinath
Ben Glocker
J. Iglesias
249
1
0
31 May 2025
Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis
Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis
Chen Zhao
Xuan Wang
Tong Zhang
Saqib Javed
Mathieu Salzmann
3DGS
1.4K
6
0
13 Mar 2025
Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo
Parameter Expanded Stochastic Gradient Markov Chain Monte CarloInternational Conference on Learning Representations (ICLR), 2025
Hyunsu Kim
G. Nam
Chulhee Yun
Hongseok Yang
Juho Lee
BDLUQCV
336
2
0
02 Mar 2025
Confidence Estimation for Error Detection in Text-to-SQL Systems
Confidence Estimation for Error Detection in Text-to-SQL SystemsAAAI Conference on Artificial Intelligence (AAAI), 2025
Oleg Somov
Elena Tutubalina
348
10
0
17 Jan 2025
Variational Bayesian Bow tie Neural Networks with Shrinkage
Alisa Sheinkman
Sara Wade
BDLUQCV
453
0
0
17 Nov 2024
Uncertainty Estimation for 3D Object Detection via Evidential Learning
Uncertainty Estimation for 3D Object Detection via Evidential Learning
Nikita Durasov
Rafid Mahmood
Jiwoong Choi
Marc T. Law
James Lucas
Pascal Fua
Jose M. Alvarez
UQCVEDL3DPC
379
5
0
31 Oct 2024
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of
  Large Language Models
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models
Mohammad Beigi
Sijia Wang
Ying Shen
Zihao Lin
Adithya Kulkarni
...
Ming Jin
Jin-Hee Cho
Dawei Zhou
Chang-Tien Lu
Lifu Huang
334
4
0
26 Oct 2024
The Disparate Benefits of Deep Ensembles
The Disparate Benefits of Deep Ensembles
Kajetan Schweighofer
Adrián Arnaiz-Rodríguez
Sepp Hochreiter
Nuria Oliver
FedML
322
4
0
17 Oct 2024
Ensemble everything everywhere: Multi-scale aggregation for adversarial
  robustness
Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness
Stanislav Fort
Balaji Lakshminarayanan
OODAAML
193
17
0
08 Aug 2024
Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation
Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation
Luís Almeida
Ines Dutra
Francesco Renna
UQCV
301
1
0
17 Jul 2024
Are Data Augmentation Methods in Named Entity Recognition Applicable for
  Uncertainty Estimation?
Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation?
Wataru Hashimoto
Hidetaka Kamigaito
Taro Watanabe
333
5
0
02 Jul 2024
Uncertainty Quantification in Table Structure Recognition
Uncertainty Quantification in Table Structure Recognition
Kehinde E. Ajayi
Leizhen Zhang
Yi He
Jian Wu
LMTD
203
3
0
01 Jul 2024
Overcoming Common Flaws in the Evaluation of Selective Classification
  Systems
Overcoming Common Flaws in the Evaluation of Selective Classification Systems
Jeremias Traub
Till J. Bungert
Carsten T. Lüth
Michael Baumgartner
Klaus H. Maier-Hein
Lena Maier-Hein
Paul F. Jaeger
301
18
0
01 Jul 2024
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph
Roman Vashurin
Ekaterina Fadeeva
Artem Vazhentsev
Akim Tsvigun
Daniil Vasilev
...
Timothy Baldwin
Timothy Baldwin
Preslav Nakov
Maxim Panov
Artem Shelmanov
HILM
757
80
0
21 Jun 2024
Tilt and Average : Geometric Adjustment of the Last Layer for
  Recalibration
Tilt and Average : Geometric Adjustment of the Last Layer for RecalibrationInternational Conference on Machine Learning (ICML), 2024
Gyusang Cho
Chan-Hyun Youn
295
1
0
14 Jun 2024
Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy
  Arithmetic Tasks
Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks
Andrew Gambardella
Yusuke Iwasawa
Yutaka Matsuo
LRM
217
22
0
04 Jun 2024
CONFINE: Conformal Prediction for Interpretable Neural Networks
CONFINE: Conformal Prediction for Interpretable Neural Networks
Linhui Huang
S. Lala
N. Jha
590
6
0
01 Jun 2024
Trajectory Volatility for Out-of-Distribution Detection in Mathematical
  Reasoning
Trajectory Volatility for Out-of-Distribution Detection in Mathematical ReasoningNeural Information Processing Systems (NeurIPS), 2024
Yiming Wang
Pei Zhang
Baosong Yang
Yang Li
Zhuosheng Zhang
Rui Wang
OODD
294
1
0
22 May 2024
Just rotate it! Uncertainty estimation in closed-source models via
  multiple queries
Just rotate it! Uncertainty estimation in closed-source models via multiple queries
Konstantinos Pitas
Julyan Arbel
UQCV
213
0
0
22 May 2024
Fast Ensembling with Diffusion Schrödinger Bridge
Fast Ensembling with Diffusion Schrödinger Bridge
Hyunsu Kim
Jongmin Yoon
Juho Lee
FedMLUQCV
258
2
0
24 Apr 2024
Application of Deep Learning Methods to Processing of Noisy Medical
  Video Data
Application of Deep Learning Methods to Processing of Noisy Medical Video Data
Danil Afonchikov
E. Kornaeva
Irina Makovik
Alexey Kornaev
198
0
0
16 Apr 2024
Awareness of uncertainty in classification using a multivariate model
  and multi-views
Awareness of uncertainty in classification using a multivariate model and multi-views
Alexey Kornaev
E. Kornaeva
Oleg Ivanov
Ilya Pershin
Danis Alukaev
UQCVEDL
293
2
0
16 Apr 2024
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real
  World
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World
Bowen Lei
Dongkuan Xu
Ruqi Zhang
Bani Mallick
UQCV
321
1
0
29 Mar 2024
EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for
  Medical Image Segmentation
EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation
Kudaibergen Abutalip
Numan Saeed
I. Sobirov
Vincent Andrearczyk
Adrien Depeursinge
Mohammad Yaqub
UQCV
233
2
0
25 Mar 2024
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding
Lingdong Kong
Xiang Xu
Jun Cen
Wenwei Zhang
Liang Pan
Kai-xiang Chen
Ziwei Liu
401
12
0
25 Mar 2024
Enabling Uncertainty Estimation in Iterative Neural Networks
Enabling Uncertainty Estimation in Iterative Neural Networks
Nikita Durasov
Doruk Öner
Jonathan Donier
Hieu M. Le
Pascal Fua
UQCV
764
12
0
25 Mar 2024
Diversity-Aware Agnostic Ensemble of Sharpness Minimizers
Diversity-Aware Agnostic Ensemble of Sharpness Minimizers
Anh-Vu Bui
Vy Vo
Tung Pham
Dinh Q. Phung
Trung Le
FedMLUQCV
313
1
0
19 Mar 2024
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting
Zhuliang Yu
Guohao Chen
Jiaxiang Wu
Yifan Zhang
Yaofo Chen
Peilin Zhao
Shuaicheng Niu
TTAOOD
391
13
0
18 Mar 2024
Enhancing Transfer Learning with Flexible Nonparametric Posterior
  Sampling
Enhancing Transfer Learning with Flexible Nonparametric Posterior SamplingInternational Conference on Learning Representations (ICLR), 2024
Hyungi Lee
G. Nam
Edwin Fong
Juho Lee
BDL
245
7
0
12 Mar 2024
A prediction rigidity formalism for low-cost uncertainties in trained
  neural networks
A prediction rigidity formalism for low-cost uncertainties in trained neural networks
Filippo Bigi
Sanggyu Chong
Michele Ceriotti
Federico Grasselli
258
19
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04 Mar 2024
Fine-tuning with Very Large Dropout
Fine-tuning with Very Large Dropout
Jianyu Zhang
Léon Bottou
450
9
0
01 Mar 2024
STAG: Structural Test-time Alignment of Gradients for Online Adaptation
STAG: Structural Test-time Alignment of Gradients for Online Adaptation
Juhyeon Shin
Jonghyun Lee
Saehyung Lee
Minjun Park
Dongjun Lee
Uiwon Hwang
Sungroh Yoon
Sungroh Yoon
267
1
0
14 Feb 2024
Multiple Random Masking Autoencoder Ensembles for Robust Multimodal
  Semi-supervised Learning
Multiple Random Masking Autoencoder Ensembles for Robust Multimodal Semi-supervised Learning
Alexandru-Raul Todoran
Marius Leordeanu
271
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0
12 Feb 2024
Inferring the Langevin Equation with Uncertainty via Bayesian Neural Networks
Inferring the Langevin Equation with Uncertainty via Bayesian Neural Networks
Youngkyoung Bae
Seungwoong Ha
Hawoong Jeong
391
4
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02 Feb 2024
Conformal Prediction Sets Improve Human Decision Making
Conformal Prediction Sets Improve Human Decision MakingInternational Conference on Machine Learning (ICML), 2024
Jesse C. Cresswell
Yi Sui
Bhargava Kumar
Noël Vouitsis
523
35
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24 Jan 2024
Efficient Deweather Mixture-of-Experts with Uncertainty-aware
  Feature-wise Linear Modulation
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Rongyu Zhang
Yulin Luo
Jiaming Liu
Huanrui Yang
Zhen Dong
...
Tomoyuki Okuno
Yohei Nakata
Kurt Keutzer
Yuan Du
Shanghang Zhang
MoMeMoE
332
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Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty
  from Pre-trained Models
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Gianni Franchi
Olivier Laurent
Maxence Leguéry
Andrei Bursuc
Andrea Pilzer
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254
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Consistent and Asymptotically Unbiased Estimation of Proper Calibration
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Sebastian G. Gruber
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347
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Beyond Classification: Definition and Density-based Estimation of
  Calibration in Object Detection
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Teodora Popordanoska
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321
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Towards Calibrated Robust Fine-Tuning of Vision-Language Models
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790
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