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Deep Ensembles: A Loss Landscape Perspective

Deep Ensembles: A Loss Landscape Perspective

5 December 2019
Stanislav Fort
Huiyi Hu
Balaji Lakshminarayanan
    OOD
    UQCV
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Papers citing "Deep Ensembles: A Loss Landscape Perspective"

50 / 117 papers shown
Title
Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry
Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry
Mohammed Adnan
Rohan Jain
Ekansh Sharma
Rahul Krishnan
Yani Andrew Ioannou
56
0
0
08 May 2025
The effect of the number of parameters and the number of local feature patches on loss landscapes in distributed quantum neural networks
The effect of the number of parameters and the number of local feature patches on loss landscapes in distributed quantum neural networks
Yoshiaki Kawase
73
0
0
27 Apr 2025
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble
Jacopo Talpini
Marco Savi
Giovanni Neglia
FedML
Presented at ResearchTrend Connect | FedML on 07 May 2025
76
0
0
19 Mar 2025
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model
Moritz A. Zanger
Pascal R. van der Vaart
Wendelin Bohmer
M. Spaan
UQCV
BDL
140
0
0
14 Mar 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
185
0
0
13 Mar 2025
SplatPose: Geometry-Aware 6-DoF Pose Estimation from Single RGB Image via 3D Gaussian Splatting
Linqi Yang
Xiongwei Zhao
Qihao Sun
Ke Wang
Ao Chen
Peng Kang
3DGS
78
2
0
07 Mar 2025
SuperMerge: An Approach For Gradient-Based Model Merging
SuperMerge: An Approach For Gradient-Based Model Merging
Haoyu Yang
Zheng Zhang
Saket Sathe
MoMe
125
0
0
17 Feb 2025
Early Failure Detection in Autonomous Surgical Soft-Tissue Manipulation via Uncertainty Quantification
Early Failure Detection in Autonomous Surgical Soft-Tissue Manipulation via Uncertainty Quantification
Jordan Thompson
Ronald Koe
Anthony Le
Gabriella Goodman
Daniel S. Brown
Alan Kuntz
47
1
0
17 Jan 2025
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling
Yury Gorishniy
Akim Kotelnikov
Artem Babenko
LMTD
MoE
89
6
0
31 Oct 2024
Uncertainty Quantification in Seismic Inversion Through Integrated
  Importance Sampling and Ensemble Methods
Uncertainty Quantification in Seismic Inversion Through Integrated Importance Sampling and Ensemble Methods
Luping Qu
Mauricio Araya-Polo
Laurent Demanet
61
0
0
10 Sep 2024
Input Space Mode Connectivity in Deep Neural Networks
Input Space Mode Connectivity in Deep Neural Networks
Jakub Vrabel
Ori Shem-Ur
Yaron Oz
David Krueger
48
1
0
09 Sep 2024
Network Fission Ensembles for Low-Cost Self-Ensembles
Network Fission Ensembles for Low-Cost Self-Ensembles
Hojung Lee
Jong-Seok Lee
UQCV
54
0
0
05 Aug 2024
Regularized Multi-Decoder Ensemble for an Error-Aware Scene
  Representation Network
Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network
Tianyu Xiong
Skylar W. Wurster
Hanqi Guo
Tom Peterka
Han-Wei Shen
UQCV
53
1
0
26 Jul 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
50
3
0
05 Jun 2024
Ensemble Successor Representations for Task Generalization in
  Offline-to-Online Reinforcement Learning
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning
Changhong Wang
Xudong Yu
Chenjia Bai
Qiaosheng Zhang
Zhen Wang
40
1
0
12 May 2024
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
Ruben Grewal
Paolo Tonella
Andrea Stocco
48
11
0
29 Apr 2024
NTK-Guided Few-Shot Class Incremental Learning
NTK-Guided Few-Shot Class Incremental Learning
Jingren Liu
Zhong Ji
Yanwei Pang
Yunlong Yu
CLL
34
3
0
19 Mar 2024
A Scalable and Transferable Time Series Prediction Framework for Demand
  Forecasting
A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting
Young-Jin Park
Donghyun Kim
Frédéric Odermatt
Juho Lee
KyungHyun Kim
AI4TS
42
3
0
29 Feb 2024
On the Byzantine-Resilience of Distillation-Based Federated Learning
On the Byzantine-Resilience of Distillation-Based Federated Learning
Christophe Roux
Max Zimmer
S. Pokutta
AAML
49
1
0
19 Feb 2024
Artificial Intelligence for Digital and Computational Pathology
Artificial Intelligence for Digital and Computational Pathology
Andrew H. Song
Guillaume Jaume
Drew F. K. Williamson
Ming Y. Lu
Anurag J. Vaidya
Tiffany R. Miller
Faisal Mahmood
AI4CE
30
129
0
13 Dec 2023
From Pointwise to Powerhouse: Initialising Neural Networks with
  Generative Models
From Pointwise to Powerhouse: Initialising Neural Networks with Generative Models
Christian Harder
Moritz Fuchs
Yuri Tolkach
Anirban Mukhopadhyay
25
0
0
25 Oct 2023
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ
  Segmentation
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation
Jadie Adams
Shireen Elhabian
UQCV
18
5
0
15 Aug 2023
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation
S. Landgraf
Markus Hillemann
Kira Wursthorn
Markus Ulrich
SSeg
UQCV
26
6
0
19 Jul 2023
Generative Meta-Learning Robust Quality-Diversity Portfolio
Generative Meta-Learning Robust Quality-Diversity Portfolio
K. Yuksel
11
2
0
15 Jul 2023
Layer-wise Linear Mode Connectivity
Layer-wise Linear Mode Connectivity
Linara Adilova
Maksym Andriushchenko
Michael Kamp
Asja Fischer
Martin Jaggi
FedML
FAtt
MoMe
28
15
0
13 Jul 2023
CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models
CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models
Potsawee Manakul
Yassir Fathullah
Adian Liusie
Vyas Raina
Vatsal Raina
Mark J. F. Gales
27
12
0
08 Jun 2023
Theoretical Guarantees of Learning Ensembling Strategies with
  Applications to Time Series Forecasting
Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting
Hilaf Hasson
Danielle C. Maddix
Yuyang Wang
Gaurav Gupta
Youngsuk Park
UQCV
AI4TS
FedML
27
3
0
25 May 2023
When are ensembles really effective?
When are ensembles really effective?
Ryan Theisen
Hyunsuk Kim
Yaoqing Yang
Liam Hodgkinson
Michael W. Mahoney
FedML
UQCV
27
15
0
21 May 2023
Measuring and Mitigating Local Instability in Deep Neural Networks
Measuring and Mitigating Local Instability in Deep Neural Networks
Arghya Datta
Subhrangshu Nandi
Jingcheng Xu
Greg Ver Steeg
He Xie
Anoop Kumar
Aram Galstyan
15
3
0
18 May 2023
Integrating Uncertainty into Neural Network-based Speech Enhancement
Integrating Uncertainty into Neural Network-based Speech Enhancement
Hu Fang
Dennis Becker
S. Wermter
Timo Gerkmann
UQCV
29
2
0
15 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Max Klabunde
Tobias Schumacher
M. Strohmaier
Florian Lemmerich
52
64
0
10 May 2023
On the Limitations of Model Stealing with Uncertainty Quantification
  Models
On the Limitations of Model Stealing with Uncertainty Quantification Models
David Pape
Sina Daubener
Thorsten Eisenhofer
Antonio Emanuele Cinà
Lea Schonherr
30
3
0
09 May 2023
On the Variance of Neural Network Training with respect to Test Sets and
  Distributions
On the Variance of Neural Network Training with respect to Test Sets and Distributions
Keller Jordan
OOD
16
10
0
04 Apr 2023
Scalable Bayesian optimization with high-dimensional outputs using
  randomized prior networks
Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks
Mohamed Aziz Bhouri
M. Joly
Robert Yu
S. Sarkar
P. Perdikaris
BDL
UQCV
AI4CE
11
1
0
14 Feb 2023
Benchmarking Probabilistic Deep Learning Methods for License Plate
  Recognition
Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition
Franziska Schirrmacher
Benedikt Lorch
Anatol Maier
Christian Riess
UQCV
28
4
0
02 Feb 2023
Pathologies of Predictive Diversity in Deep Ensembles
Pathologies of Predictive Diversity in Deep Ensembles
Taiga Abe
E. Kelly Buchanan
Geoff Pleiss
John P. Cunningham
UQCV
38
13
0
01 Feb 2023
Joint Training of Deep Ensembles Fails Due to Learner Collusion
Joint Training of Deep Ensembles Fails Due to Learner Collusion
Alan Jeffares
Tennison Liu
Jonathan Crabbé
M. Schaar
FedML
44
15
0
26 Jan 2023
Bayesian posterior approximation with stochastic ensembles
Bayesian posterior approximation with stochastic ensembles
Oleksandr Balabanov
Bernhard Mehlig
H. Linander
BDL
UQCV
27
5
0
15 Dec 2022
Scalable Bayesian Uncertainty Quantification for Neural Network
  Potentials: Promise and Pitfalls
Scalable Bayesian Uncertainty Quantification for Neural Network Potentials: Promise and Pitfalls
Stephan Thaler
Gregor Doehner
J. Zavadlav
27
21
0
15 Dec 2022
Editing Models with Task Arithmetic
Editing Models with Task Arithmetic
Gabriel Ilharco
Marco Tulio Ribeiro
Mitchell Wortsman
Suchin Gururangan
Ludwig Schmidt
Hannaneh Hajishirzi
Ali Farhadi
KELM
MoMe
MU
45
424
0
08 Dec 2022
Unveiling the Tapestry: the Interplay of Generalization and Forgetting
  in Continual Learning
Unveiling the Tapestry: the Interplay of Generalization and Forgetting in Continual Learning
Zenglin Shi
Jing Jie
Ying Sun
J. Lim
Mengmi Zhang
CLL
36
1
0
21 Nov 2022
Introduction and Exemplars of Uncertainty Decomposition
Introduction and Exemplars of Uncertainty Decomposition
Shuo Chen
UD
UQCV
PER
30
0
0
17 Nov 2022
REPAIR: REnormalizing Permuted Activations for Interpolation Repair
REPAIR: REnormalizing Permuted Activations for Interpolation Repair
Keller Jordan
Hanie Sedghi
O. Saukh
R. Entezari
Behnam Neyshabur
MoMe
46
94
0
15 Nov 2022
Packed-Ensembles for Efficient Uncertainty Estimation
Packed-Ensembles for Efficient Uncertainty Estimation
Olivier Laurent
Adrien Lafage
Enzo Tartaglione
Geoffrey Daniel
Jean-Marc Martinez
Andrei Bursuc
Gianni Franchi
OODD
44
32
0
17 Oct 2022
Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling
Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling
Haw-Shiuan Chang
Ruei-Yao Sun
Kathryn Ricci
Andrew McCallum
43
14
0
10 Oct 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 Fruit
Matthew C. Dirks
David Poole
15
16
0
03 Oct 2022
On the Factory Floor: ML Engineering for Industrial-Scale Ads
  Recommendation Models
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models
Rohan Anil
S. Gadanho
Danya Huang
Nijith Jacob
Zhuoshu Li
...
Cristina Pop
Kevin Regan
G. Shamir
Rakesh Shivanna
Qiqi Yan
3DV
16
41
0
12 Sep 2022
Quality Not Quantity: On the Interaction between Dataset Design and
  Robustness of CLIP
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP
Thao Nguyen
Gabriel Ilharco
Mitchell Wortsman
Sewoong Oh
Ludwig Schmidt
CLIP
VLM
42
97
0
10 Aug 2022
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks
Andrew M. Saxe
Shagun Sodhani
Sam Lewallen
AI4CE
28
34
0
21 Jul 2022
Latent Discriminant deterministic Uncertainty
Latent Discriminant deterministic Uncertainty
Gianni Franchi
Xuanlong Yu
Andrei Bursuc
Emanuel Aldea
Séverine Dubuisson
David Filliat
UQCV
22
18
0
20 Jul 2022
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