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The Relative Performance of Ensemble Methods with Deep Convolutional
  Neural Networks for Image Classification

The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification

5 April 2017
Cheng Ju
Aurélien F. Bibaut
Mark van der Laan
    UQCV
ArXivPDFHTML

Papers citing "The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification"

50 / 74 papers shown
Title
Low-Loss Space in Neural Networks is Continuous and Fully Connected
Low-Loss Space in Neural Networks is Continuous and Fully Connected
Yongding Tian
Zaid Al-Ars
Maksim Kitsak
P. Hofstee
3DPC
31
0
0
05 May 2025
Propagation of Chaos for Mean-Field Langevin Dynamics and its Application to Model Ensemble
Atsushi Nitanda
Anzelle Lee
Damian Tan Xing Kai
Mizuki Sakaguchi
Taiji Suzuki
AI4CE
67
1
0
09 Feb 2025
Decorrelating Structure via Adapters Makes Ensemble Learning Practical
  for Semi-supervised Learning
Decorrelating Structure via Adapters Makes Ensemble Learning Practical for Semi-supervised Learning
Jiaqi Wu
Junbiao Pang
Qingming Huang
31
0
0
08 Aug 2024
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling
Cristian Rodriguez-Opazo
Ehsan Abbasnejad
Damien Teney
Edison Marrese-Taylor
Hamed Damirchi
Anton Van Den Hengel
VLM
43
1
0
27 May 2024
Sparse Sampling is All You Need for Fast Wrong-way Cycling Detection in
  CCTV Videos
Sparse Sampling is All You Need for Fast Wrong-way Cycling Detection in CCTV Videos
Jing Xu
Wentao Shi
Sheng Ren
Pan Gao
Peng Zhou
Jie Qin
45
0
0
12 May 2024
Just Say the Name: Online Continual Learning with Category Names Only
  via Data Generation
Just Say the Name: Online Continual Learning with Category Names Only via Data Generation
Minhyuk Seo
Diganta Misra
Seongwon Cho
Minjae Lee
Jonghyun Choi
CLL
37
7
0
16 Mar 2024
A Learnable Prior Improves Inverse Tumor Growth Modeling
A Learnable Prior Improves Inverse Tumor Growth Modeling
Jonas Weidner
Ivan Ezhov
Michal Balcerak
M. Metz
Sergey Litvinov
...
Jana Lipkova
Jonas Latz
Daniel Rueckert
Bjoern H. Menze
Benedikt Wiestler
MedIm
AI4CE
24
5
0
07 Mar 2024
Blending Is All You Need: Cheaper, Better Alternative to
  Trillion-Parameters LLM
Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM
Xiaoding Lu
Zongyi Liu
Adian Liusie
Vyas Raina
Vineet Mudupalli
Yuwen Zhang
W. Beauchamp
22
15
0
04 Jan 2024
Generalized super-resolution 4D Flow MRI $\unicode{x2013}$ using
  ensemble learning to extend across the cardiovascular system
Generalized super-resolution 4D Flow MRI \unicodex2013\unicode{x2013}\unicodex2013 using ensemble learning to extend across the cardiovascular system
Leon Ericsson
Adam Hjalmarsson
Muhammad Usman Akbar
E. Ferdian
Mia Bonini
...
Susanne Schnell
C. A. Figueroa
David A. Nordsletten
Alistair A. Young
David Marlevi
OOD
18
0
0
20 Nov 2023
Hierarchical Pruning of Deep Ensembles with Focal Diversity
Hierarchical Pruning of Deep Ensembles with Focal Diversity
Yanzhao Wu
Ka-Ho Chow
Wenqi Wei
Ling Liu
17
3
0
17 Nov 2023
RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network
RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network
Haozhe Sun
Isabelle M Guyon
F. Mohr
Hedi Tabia
CVBM
35
2
0
02 Oct 2023
Modularity in Deep Learning: A Survey
Modularity in Deep Learning: A Survey
Haozhe Sun
Isabelle Guyon
MoMe
35
2
0
02 Oct 2023
Improved Crop and Weed Detection with Diverse Data Ensemble Learning
Improved Crop and Weed Detection with Diverse Data Ensemble Learning
Muhammad Asad
Saeed Anwar
Abdul Bais
16
4
0
02 Oct 2023
Minimum Bayes' Risk Decoding for System Combination of Grammatical Error
  Correction Systems
Minimum Bayes' Risk Decoding for System Combination of Grammatical Error Correction Systems
Vyas Raina
Mark J. F. Gales
29
1
0
12 Sep 2023
Faster, Lighter, More Accurate: A Deep Learning Ensemble for Content
  Moderation
Faster, Lighter, More Accurate: A Deep Learning Ensemble for Content Moderation
Mohammad Hosseini
Mahmudul Hasan
18
0
0
10 Sep 2023
Asymmetric Image Retrieval with Cross Model Compatible Ensembles
Asymmetric Image Retrieval with Cross Model Compatible Ensembles
Ori Linial
Alon Shoshan
Nadav Bhonker
Elad Hirsch
L. Zamir
Igor Kviatkovsky
Gérard Medioni
35
2
0
30 Mar 2023
Galaxy Classification Using Transfer Learning and Ensemble of CNNs With
  Multiple Colour Spaces
Galaxy Classification Using Transfer Learning and Ensemble of CNNs With Multiple Colour Spaces
Yevonnael Andrew
33
1
0
26 Mar 2023
Deep Learning for Brain Age Estimation: A Systematic Review
Deep Learning for Brain Age Estimation: A Systematic Review
Md. Iftekhar Tanveer
M. A. Ganaie
I. Beheshti
Tripti Goel
Nehal Ahmad
Kuan-Ting Lai
Kaizhu Huang
Yudong Zhang
Javier Del Ser
Chin-Teng Lin
25
86
0
07 Dec 2022
Model and Data Agreement for Learning with Noisy Labels
Model and Data Agreement for Learning with Noisy Labels
Yuhang Zhang
Weihong Deng
Xingchen Cui
Yunfeng Yin
Hongzhi Shi
Dongchao Wen
NoLa
34
5
0
02 Dec 2022
Contrastive Classification and Representation Learning with
  Probabilistic Interpretation
Contrastive Classification and Representation Learning with Probabilistic Interpretation
Rahaf Aljundi
Yash J. Patel
Milan Šulc
Daniel Olmeda
N. Chumerin
SSL
31
5
0
07 Nov 2022
MyoPS-Net: Myocardial Pathology Segmentation with Flexible Combination
  of Multi-Sequence CMR Images
MyoPS-Net: Myocardial Pathology Segmentation with Flexible Combination of Multi-Sequence CMR Images
Junyi Qiu
Lei Li
Sihan Wang
Kecheng Zhang
Yinyin Chen
Shan Yang
Xiahai Zhuang
23
28
0
06 Nov 2022
Differentiable Model Selection for Ensemble Learning
Differentiable Model Selection for Ensemble Learning
James Kotary
Vincenzo Di Vito
Ferdinando Fioretto
102
9
0
01 Nov 2022
Similarity of Neural Architectures using Adversarial Attack
  Transferability
Similarity of Neural Architectures using Adversarial Attack Transferability
Jaehui Hwang
Dongyoon Han
Byeongho Heo
Song Park
Sanghyuk Chun
Jong-Seok Lee
AAML
32
1
0
20 Oct 2022
Identify ambiguous tasks combining crowdsourced labels by weighting
  Areas Under the Margin
Identify ambiguous tasks combining crowdsourced labels by weighting Areas Under the Margin
Tanguy Lefort
Benjamin Charlier
Alexis Joly
Joseph Salmon
44
5
0
30 Sep 2022
Transferability Ranking of Adversarial Examples
Transferability Ranking of Adversarial Examples
Mosh Levy
Guy Amit
Yuval Elovici
Yisroel Mirsky
AAML
34
0
0
23 Aug 2022
GaLeNet: Multimodal Learning for Disaster Prediction, Management and
  Relief
GaLeNet: Multimodal Learning for Disaster Prediction, Management and Relief
Rohit Saha
Meng Fang
Angeline Yasodhara
Kyryl Truskovskyi
Azin Asgarian
D. Homola
Raahil Shah
Frederik Dieleman
Jack Weatheritt
Thomas Rogers
23
3
0
18 Jun 2022
eFedDNN: Ensemble based Federated Deep Neural Networks for Trajectory
  Mode Inference
eFedDNN: Ensemble based Federated Deep Neural Networks for Trajectory Mode Inference
Daniel Opoku Mensah
Godwin Badu-Marfo
Ranwa Al Mallah
Bilal Farooq
FedML
9
4
0
11 May 2022
An Analysis on Ensemble Learning optimized Medical Image Classification
  with Deep Convolutional Neural Networks
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks
Dominik Muller
Iñaki Soto Rey
Frank Kramer
29
56
0
27 Jan 2022
AWSnet: An Auto-weighted Supervision Attention Network for Myocardial
  Scar and Edema Segmentation in Multi-sequence Cardiac Magnetic Resonance
  Images
AWSnet: An Auto-weighted Supervision Attention Network for Myocardial Scar and Edema Segmentation in Multi-sequence Cardiac Magnetic Resonance Images
Kaini Wang
Xin Yang
Juzheng Miao
Lei Li
Jing Yao
Ping Zhou
Wufeng Xue
Guangquan Zhou
Xiahai Zhuang
Dong Ni
23
41
0
14 Jan 2022
Efficient Diversity-Driven Ensemble for Deep Neural Networks
Efficient Diversity-Driven Ensemble for Deep Neural Networks
Wentao Zhang
Jiawei Jiang
Yingxia Shao
Bin Cui
26
17
0
26 Dec 2021
Automatic Semantic Segmentation of the Lumbar Spine: Clinical
  Applicability in a Multi-parametric and Multi-centre Study on Magnetic
  Resonance Images
Automatic Semantic Segmentation of the Lumbar Spine: Clinical Applicability in a Multi-parametric and Multi-centre Study on Magnetic Resonance Images
J. J. Sáenz-Gamboa
J. Domenech
Antonio Alonso-Manjarrés
Jon A. Gómez
Human Language Technology research center - Universitat Valencia
15
0
0
16 Nov 2021
Pediatric Automatic Sleep Staging: A comparative study of
  state-of-the-art deep learning methods
Pediatric Automatic Sleep Staging: A comparative study of state-of-the-art deep learning methods
Huy P Phan
Alfred Mertins
M. Baumert
44
13
0
23 Aug 2021
Automated Olfactory Bulb Segmentation on High Resolutional T2-Weighted
  MRI
Automated Olfactory Bulb Segmentation on High Resolutional T2-Weighted MRI
Santiago Estrada
Ran Lu
K. Diers
W. Zeng
P. Ehses
T. Stöcker
M. Breteler
M. Reuter
21
11
0
09 Aug 2021
Optimized ensemble deep learning framework for scalable forecasting of
  dynamics containing extreme events
Optimized ensemble deep learning framework for scalable forecasting of dynamics containing extreme events
Arnob Ray
Tanujit Chakraborty
D. Ghosh
AI4TS
11
28
0
09 Jun 2021
Salient Feature Extractor for Adversarial Defense on Deep Neural
  Networks
Salient Feature Extractor for Adversarial Defense on Deep Neural Networks
Jinyin Chen
Ruoxi Chen
Haibin Zheng
Zhaoyan Ming
Wenrong Jiang
Chen Cui
AAML
25
10
0
14 May 2021
Deep Neural Network Based Ensemble learning Algorithms for the
  healthcare system (diagnosis of chronic diseases)
Deep Neural Network Based Ensemble learning Algorithms for the healthcare system (diagnosis of chronic diseases)
Jafar Abdollahi
Babak Nouri-Moghaddam
M. Ghazanfari
OOD
9
31
0
15 Mar 2021
Synthetic Data and Hierarchical Object Detection in Overhead Imagery
Synthetic Data and Hierarchical Object Detection in Overhead Imagery
Nathan L. Clement
Alan Schoen
Arnold P. Boedihardjo
A. Jenkins
6
8
0
29 Jan 2021
Towards a Universal Gating Network for Mixtures of Experts
Towards a Universal Gating Network for Mixtures of Experts
C. Kang
C. Hong
Tomas Maul
MoMe
12
2
0
03 Nov 2020
Performance evaluation and application of computation based low-cost
  homogeneous machine learning model algorithm for image classification
Performance evaluation and application of computation based low-cost homogeneous machine learning model algorithm for image classification
W. Huang
9
0
0
16 Oct 2020
Satellite Image Classification with Deep Learning
Satellite Image Classification with Deep Learning
M. D. Pritt
Gary Chern
11
132
0
13 Oct 2020
Joint Variational Autoencoders for Recommendation with Implicit Feedback
Joint Variational Autoencoders for Recommendation with Implicit Feedback
Bahare Askari
Jaroslaw Szlichta
Amirali Salehi-Abari
DRL
21
4
0
17 Aug 2020
On Power Laws in Deep Ensembles
On Power Laws in Deep Ensembles
E. Lobacheva
Nadezhda Chirkova
M. Kodryan
Dmitry Vetrov
UQCV
10
40
0
16 Jul 2020
Primary Tumor Origin Classification of Lung Nodules in Spectral CT using
  Transfer Learning
Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer Learning
L. Hesse
P. A. Jong
J. Pluim
V. Cheplygina
8
1
0
30 Jun 2020
Model Agnostic Combination for Ensemble Learning
Model Agnostic Combination for Ensemble Learning
Ohad Silbert
Yitzhak Peleg
E. Kopelowitz
8
1
0
16 Jun 2020
North Atlantic Right Whales Up-call Detection Using Multimodel Deep
  Learning
North Atlantic Right Whales Up-call Detection Using Multimodel Deep Learning
Ali K. Ibrahim
H. Zhuang
Laurent Chérubin
N. Erdol
Gregory O Corry-Crowe
Ali Muhamed Ali
8
0
0
17 May 2020
Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning
  Model Ensembling
Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling
Jun Yang
Fei Wang
20
32
0
25 Mar 2020
Overinterpretation reveals image classification model pathologies
Overinterpretation reveals image classification model pathologies
Brandon Carter
Siddhartha Jain
Jonas W. Mueller
David K Gifford
FAtt
33
50
0
19 Mar 2020
A Unified System for Aggression Identification in English Code-Mixed and
  Uni-Lingual Texts
A Unified System for Aggression Identification in English Code-Mixed and Uni-Lingual Texts
Anant Khandelwal
Niraj Kumar
8
12
0
15 Jan 2020
Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases
Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases
Amit Kumar Jaiswal
Ivan Panshin
D. Shulkin
Nagender Aneja
Samuel Abramov
SSL
MedIm
17
23
0
23 Jun 2019
Class-specific Differential Detection in Diffractive Optical Neural
  Networks Improves Inference Accuracy
Class-specific Differential Detection in Diffractive Optical Neural Networks Improves Inference Accuracy
Jingxi Li
Deniz Mengu
Yilin Luo
Y. Rivenson
Aydogan Ozcan
11
111
0
08 Jun 2019
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