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When does Diversity Help Generalization in Classification Ensembles?

When does Diversity Help Generalization in Classification Ensembles?

30 October 2019
Yijun Bian
Huanhuan Chen
ArXivPDFHTML

Papers citing "When does Diversity Help Generalization in Classification Ensembles?"

13 / 13 papers shown
Title
On the Effectiveness of Heterogeneous Ensemble Methods for
  Re-identification
On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification
Simon Klüttermann
Jérôme Rutinowski
Anh Nguyen
Britta Grimme
Moritz Roidl
Emmanuel Müller
34
0
0
19 Mar 2024
Grammar-based evolutionary approach for automated workflow composition
  with domain-specific operators and ensemble diversity
Grammar-based evolutionary approach for automated workflow composition with domain-specific operators and ensemble diversity
Rafael Barbudo
Aurora Ramírez
José Raúl Romero
11
0
0
03 Feb 2024
A Unified Theory of Diversity in Ensemble Learning
A Unified Theory of Diversity in Ensemble Learning
Danny Wood
Tingting Mu
Andrew M. Webb
Henry W. J. Reeve
M. Luján
Gavin Brown
UQCV
36
42
0
10 Jan 2023
Deep Negative Correlation Classification
Deep Negative Correlation Classification
Le Zhang
Qibin Hou
Yun-Hai Liu
Jiawang Bian
Xun Xu
Qiufeng Wang
Ce Zhu
32
1
0
14 Dec 2022
Towards Understanding Fairness and its Composition in Ensemble Machine
  Learning
Towards Understanding Fairness and its Composition in Ensemble Machine Learning
Usman Gohar
Sumon Biswas
Hridesh Rajan
FaML
FedML
13
24
0
08 Dec 2022
Motor Imagery Decoding Using Ensemble Curriculum Learning and
  Collaborative Training
Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training
Georgios Zoumpourlis
Ioannis Patras
27
9
0
21 Nov 2022
Hierarchically Structured Task-Agnostic Continual Learning
Hierarchically Structured Task-Agnostic Continual Learning
Heinke Hihn
Daniel A. Braun
BDL
CLL
19
8
0
14 Nov 2022
Revisiting the Importance of Amplifying Bias for Debiasing
Revisiting the Importance of Amplifying Bias for Debiasing
Jungsoo Lee
Jeonghoon Park
Daeyoung Kim
Juyoung Lee
Edward Choi
Jaegul Choo
47
21
0
29 May 2022
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent
  Advances and Applications
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications
Xinlei Zhou
Han Liu
Farhad Pourpanah
T. Zeng
Xizhao Wang
UQCV
UD
24
58
0
03 Nov 2021
Robust fine-tuning of zero-shot models
Robust fine-tuning of zero-shot models
Mitchell Wortsman
Gabriel Ilharco
Jong Wook Kim
Mike Li
Simon Kornblith
...
Raphael Gontijo-Lopes
Hannaneh Hajishirzi
Ali Farhadi
Hongseok Namkoong
Ludwig Schmidt
VLM
64
691
0
04 Sep 2021
Multi-Faceted Representation Learning with Hybrid Architecture for Time
  Series Classification
Multi-Faceted Representation Learning with Hybrid Architecture for Time Series Classification
Zhenyu Liu
Jian Cheng
AI4TS
21
0
0
21 Dec 2020
Generating Efficient DNN-Ensembles with Evolutionary Computation
Generating Efficient DNN-Ensembles with Evolutionary Computation
Marc Ortiz
F. Scheidegger
Marc Casas
C. Malossi
Eduard Ayguadé
11
1
0
18 Sep 2020
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
Sheheryar Zaidi
Arber Zela
T. Elsken
Chris Holmes
Frank Hutter
Yee Whye Teh
OOD
UQCV
18
71
0
15 Jun 2020
1