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Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient
  Image Classification

Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification

27 September 2022
Ying Bi
Bing Xue
Mengjie Zhang
    VLM
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Papers citing "Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification"

15 / 15 papers shown
Title
Coevolution of Camouflage
Coevolution of Camouflage
C. Reynolds
121
1
0
17 Feb 2025
A Survey on Evolutionary Computation for Computer Vision and Image
  Analysis: Past, Present, and Future Trends
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends
Ying Bi
Bing Xue
Pablo Mesejo
S. Cagnoni
Mengjie Zhang
113
43
0
14 Sep 2022
VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning
  Challenges
VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges
A. Lengyel
Robert-Jan Bruintjes
Marcos Baptista-Rios
O. Kayhan
Davide Zambrano
Nergis Tomen
Jan van Gemert
VLM
49
11
0
21 Jan 2022
On Translation Invariance in CNNs: Convolutional Layers can Exploit
  Absolute Spatial Location
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
O. Kayhan
Jan van Gemert
286
236
0
16 Mar 2020
Real-time Federated Evolutionary Neural Architecture Search
Real-time Federated Evolutionary Neural Architecture Search
Hangyu Zhu
Yaochu Jin
FedML
167
72
0
04 Mar 2020
Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks
Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks
Sanjeev Arora
S. Du
Zhiyuan Li
Ruslan Salakhutdinov
Ruosong Wang
Dingli Yu
AAML
58
162
0
03 Oct 2019
Harmonic Networks with Limited Training Samples
Harmonic Networks with Limited Training Samples
Matej Ulicny
V. Krylov
Rozenn Dahyot
52
17
0
30 Apr 2019
Deep Learning on Small Datasets without Pre-Training using Cosine Loss
Deep Learning on Small Datasets without Pre-Training using Cosine Loss
Björn Barz
Joachim Denzler
48
132
0
25 Jan 2019
Scattering Networks for Hybrid Representation Learning
Scattering Networks for Hybrid Representation Learning
Edouard Oyallon
Sergey Zagoruyko
Gabriel Huang
N. Komodakis
Simon Lacoste-Julien
Matthew Blaschko
Eugene Belilovsky
49
85
0
17 Sep 2018
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for
  Deep Learning
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning
José Lezama
Qiang Qiu
Pablo Musé
Guillermo Sapiro
61
78
0
05 Dec 2017
Evolving Deep Convolutional Neural Networks for Image Classification
Evolving Deep Convolutional Neural Networks for Image Classification
Yizhou Sun
Bing Xue
Mengjie Zhang
Gary G. Yen
ODL
73
571
0
30 Oct 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
240
8,856
0
25 Aug 2017
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
304
7,971
0
23 May 2016
Nuclear Norm based Matrix Regression with Applications to Face
  Recognition with Occlusion and Illumination Changes
Nuclear Norm based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes
Jian Yang
J. Qian
Lei Luo
Fanlong Zhang
Yong Xu
CVBM
58
336
0
06 May 2014
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
218
12,422
0
24 Jun 2012
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