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2006.08573
Cited By

Neural Ensemble Search for Uncertainty Estimation and Dataset Shift

v1v2v3 (latest)

Neural Ensemble Search for Uncertainty Estimation and Dataset Shift

15 June 2020

Sheheryar Zaidi

Chris Holmes

Katharina Eggensperger

ArXiv (abs)PDF HTML Github (33★)

Papers citing "Neural Ensemble Search for Uncertainty Estimation and Dataset Shift"

48 / 48 papers shown

Test-Time Efficient Pretrained Model Portfolios for Time Series Forecasting

Test-Time Efficient Pretrained Model Portfolios for Time Series Forecasting

Oleksandr Shchur

Abdul Fatir Ansari

Michael Bohlke-Schneider

160

0

0

07 Oct 2025

PSEO: Optimizing Post-hoc Stacking Ensemble Through Hyperparameter Tuning

PSEO: Optimizing Post-hoc Stacking Ensemble Through Hyperparameter Tuning

136

2

0

07 Aug 2025

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields

402

0

0

08 Jul 2025

HopCast: Calibration of Autoregressive Dynamics Models

HopCast: Calibration of Autoregressive Dynamics Models

Muhammad Bilal Shahid

Cody H. Fleming

563

1

0

27 Jan 2025

Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning tasks

Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning tasks

Gregory Kang Ruey Lau

Bryan Kian Hsiang Low

416

22

0

12 Dec 2024

Regularized Neural Ensemblers

Regularized Neural Ensemblers

Sebastian Pineda Arango

Maciej Janowski

Lennart Purucker

346

0

0

06 Oct 2024

Scalable Ensemble Diversification for OOD Generalization and Detection

Scalable Ensemble Diversification for OOD Generalization and Detection

Alexander Rubinstein

1.2K

2

0

25 Sep 2024

Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble

Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble

Zirui Xu

Nathan Inkawhich

310

14

0

24 Mar 2024

Graph Neural Machine: A New Model for Learning with Tabular Data

Graph Neural Machine: A New Model for Learning with Tabular Data

Giannis Nikolentzos

Michalis Vazirgiannis

228

3

0

05 Feb 2024

Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate
Reward Hacking

Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking

Jacob Eisenstein

...

Katherine Heller

Deepak Ramachandran

Jonathan Berant

791

158

0

14 Dec 2023

Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields

Bayes' Rays: Uncertainty Quantification for Neural Radiance FieldsComputer Vision and Pattern Recognition (CVPR), 2023

Andrea Tagliasacchi

344

105

0

06 Sep 2023

Fisher-Weighted Merge of Contrastive Learning Models in Sequential
Recommendation

Fisher-Weighted Merge of Contrastive Learning Models in Sequential Recommendation

Jaeheyoung Jeon

250

1

0

05 Jul 2023

Calibrating Multimodal Learning

Calibrating Multimodal LearningInternational Conference on Machine Learning (ICML), 2023

Changqing Zhang

288

42

0

02 Jun 2023

Deep Anti-Regularized Ensembles provide reliable out-of-distribution
uncertainty quantification

Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification

Antoine de Mathelin

Francois Deheeger

Mathilde Mougeot

Nicolas Vayatis

272

6

0

08 Apr 2023

Source-free Domain Adaptation Requires Penalized Diversity

Source-free Domain Adaptation Requires Penalized DiversityMachine-mediated learning (ML), 2023

Laya Rafiee Sevyeri

Farhood Farahnak

Samira Ebrahimi Kahou

Mohammad Havaei

345

1

0

06 Apr 2023

A Survey of Historical Learning: Learning Models with Learning History

A Survey of Historical Learning: Learning Models with Learning History

Xiang Li

Lingfeng Yang

Jian Yang

296

3

0

23 Mar 2023

EPiC: Ensemble of Partial Point Clouds for Robust Classification

EPiC: Ensemble of Partial Point Clouds for Robust ClassificationIEEE International Conference on Computer Vision (ICCV), 2023

Meir Yossef Levi

357

13

0

20 Mar 2023

Bayesian Quadrature for Neural Ensemble Search

Bayesian Quadrature for Neural Ensemble Search

Xingchen Wan

Martin Jørgensen

Michael A. Osborne

255

1

0

15 Mar 2023

Deep incremental learning models for financial temporal tabular datasets
with distribution shifts

Deep incremental learning models for financial temporal tabular datasets with distribution shifts

Mauricio Barahona

OOD AIFin AI4TS

860

0

0

14 Mar 2023

Uncertainty Estimation by Fisher Information-based Evidential Deep
Learning

Uncertainty Estimation by Fisher Information-based Evidential Deep LearningInternational Conference on Machine Learning (ICML), 2023

Pheng-Ann Heng

597

76

0

03 Mar 2023

FAIR-Ensemble: When Fairness Naturally Emerges From Deep Ensembling

FAIR-Ensemble: When Fairness Naturally Emerges From Deep Ensembling

Randall Balestriero

303

14

0

01 Mar 2023

A Survey on Uncertainty Quantification Methods for Deep Learning

A Survey on Uncertainty Quantification Methods for Deep Learning

846

78

0

26 Feb 2023

How Reliable is Your Regression Model's Uncertainty Under Real-World
Distribution Shifts?

How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?

Fredrik K. Gustafsson

Martin Danelljan

Thomas B. Schon

249

14

0

07 Feb 2023

DivBO: Diversity-aware CASH for Ensemble Learning

DivBO: Diversity-aware CASH for Ensemble LearningNeural Information Processing Systems (NeurIPS), 2023

230

13

0

07 Feb 2023

Neural Architecture Search: Insights from 1000 Papers

Neural Architecture Search: Insights from 1000 Papers

Katharina Eggensperger

502

208

0

20 Jan 2023

Bayesian posterior approximation with stochastic ensembles

Bayesian posterior approximation with stochastic ensemblesComputer Vision and Pattern Recognition (CVPR), 2022

Oleksandr Balabanov

Bernhard Mehlig

Hampus Linander

311

7

0

15 Dec 2022

Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning
for Salient Object Detection

Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object DetectionAAAI Conference on Artificial Intelligence (AAAI), 2022

Chenglizhao Chen

349

5

0

13 Dec 2022

Automatic Neural Network Hyperparameter Optimization for Extrapolation:
Lessons Learned from Visible and Near-Infrared Spectroscopy of Mango Fruit

Automatic Neural Network Hyperparameter Optimization for Extrapolation: Lessons Learned from Visible and Near-Infrared Spectroscopy of Mango FruitChemometrics and Intelligent Laboratory Systems (CILS), 2022

Matthew C. Dirks

124

17

0

03 Oct 2022

TabPFN: A Transformer That Solves Small Tabular Classification Problems
in a Second

TabPFN: A Transformer That Solves Small Tabular Classification Problems in a SecondInternational Conference on Learning Representations (ICLR), 2022

Samuel G. Müller

Katharina Eggensperger

Katharina Eggensperger

774

620

0

05 Jul 2022

Improving Ensemble Distillation With Weight Averaging and Diversifying
Perturbation

Improving Ensemble Distillation With Weight Averaging and Diversifying PerturbationInternational Conference on Machine Learning (ICML), 2022

173

10

0

30 Jun 2022

Multi-Objective Hyperparameter Optimization in Machine Learning -- An
Overview

Multi-Objective Hyperparameter Optimization in Machine Learning -- An OverviewACM Transactions on Evolutionary Learning and Optimization (TELO), 2022

Julia Moosbauer

Florian Pfisterer

...

Eduardo C. Garrido-Merchán

442

102

0

15 Jun 2022

Revisiting the Importance of Amplifying Bias for Debiasing

Revisiting the Importance of Amplifying Bias for DebiasingAAAI Conference on Artificial Intelligence (AAAI), 2022

353

27

0

29 May 2022

Simple Regularisation for Uncertainty-Aware Knowledge Distillation

Simple Regularisation for Uncertainty-Aware Knowledge Distillation

Miguel R. D. Rodrigues

195

2

0

19 May 2022

A Taxonomy of Error Sources in HPC I/O Machine Learning Models

A Taxonomy of Error Sources in HPC I/O Machine Learning ModelsInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2022

Mikaela Currier

Eliakin Del Rosario

Sandeep Madireddy

Glenn K. Lockwood

Michel A. Kinsy

152

6

0

18 Apr 2022

Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph
Neural Networks for Traffic Forecasting

Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting

Jane Macfarlane

183

14

0

04 Apr 2022

Towards Less Constrained Macro-Neural Architecture Search

Towards Less Constrained Macro-Neural Architecture Search

L. A. Alexandre

266

5

0

10 Mar 2022

Evolutionary Neural Cascade Search across Supernetworks

Evolutionary Neural Cascade Search across SupernetworksAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2022

Tanja Alderliesten

Peter A. N. Bosman

196

2

0

08 Mar 2022

UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural
Representations for Computed Tomography

UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography

Francisca Vasconcelos

303

17

0

22 Feb 2022

Deep Ensembles Work, But Are They Necessary?

Deep Ensembles Work, But Are They Necessary?Neural Information Processing Systems (NeurIPS), 2022

E. Kelly Buchanan

John P. Cunningham

435

86

0

14 Feb 2022

Transformers Can Do Bayesian Inference

Transformers Can Do Bayesian InferenceInternational Conference on Learning Representations (ICLR), 2021

Samuel G. Müller

Sebastian Pineda Arango

Katharina Eggensperger

1.2K

277

0

20 Dec 2021

AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification

AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification

Krishnan Raghavan

Isabelle M Guyon

388

58

0

26 Oct 2021

No One Representation to Rule Them All: Overlapping Features of Training
Methods

No One Representation to Rule Them All: Overlapping Features of Training MethodsInternational Conference on Learning Representations (ICLR), 2021

Raphael Gontijo-Lopes

Yann N. Dauphin

384

70

0

20 Oct 2021

Combining Different V1 Brain Model Variants to Improve Robustness to
Image Corruptions in CNNs

Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs

331

6

0

20 Oct 2021

Unsolved Problems in ML Safety

Unsolved Problems in ML Safety

Nicholas Carlini

Jacob Steinhardt

890

365

0

28 Sep 2021

Neural Ensemble Search via Bayesian Sampling

Neural Ensemble Search via Bayesian SamplingConference on Uncertainty in Artificial Intelligence (UAI), 2021

Bryan Kian Hsiang Low

204

9

0

06 Sep 2021

Well-tuned Simple Nets Excel on Tabular Datasets

Well-tuned Simple Nets Excel on Tabular DatasetsNeural Information Processing Systems (NeurIPS), 2021

Marius Lindauer

Katharina Eggensperger

283

262

0

21 Jun 2021

LENAS: Learning-based Neural Architecture Search and Ensemble for 3D
Radiotherapy Dose Prediction

LENAS: Learning-based Neural Architecture Search and Ensemble for 3D Radiotherapy Dose PredictionIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2021

Xin Yang

Kwang-Ting Cheng

315

9

0

12 Jun 2021

Greedy Bayesian Posterior Approximation with Deep Ensembles

Greedy Bayesian Posterior Approximation with Deep Ensembles

Matthew B. Blaschko

327

4

0

29 May 2021

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