1 |
A. Rikhtegar, M. Pooyan, M. Manzuri-Shalmani, "Genetic algorithm-optimised structure of convolutional neural network for face recognition applications," IET Computer Vision, Vol. 10, Iss. 6, pp. 559-566, 2016
DOI
|
2 |
L. Xie, A. Yuille, "Genetic CNN," CVPR 2017
|
3 |
M. Suganuma, s, Shirakawa, T. Nagao, "A Genetic Programming Approach to Designing Convolutional Neural Network Architectures," Proceedings of GECCO 2017, pp. 497-504, 2017
|
4 |
LeCun, Yann, et al. "Gradient based learning applied to document recognition," Proceedings of the IEEE, pp. 2278-2324, 1998
|
5 |
J. R. Koza, Genetic Programming: On the Programming of Computers by Means of Natural Selection, The MIT Press, 1992.
|
6 |
J. Miller, P. Thomson, "Cartesian Genetic Programming," EuroGP 2000. LNCS, vol. 1802, pp. 121-132. Springer, 2000
|
7 |
K. Simonyan and A. Zisserman, "Very Deep Convolutional Networks for Large-Scale Image Recognition," International Conference on Learning Representations, 2014.
|
8 |
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich, "Going Deeper with Convolutions," Computer Vision and Pattern Recognition, 2015
|
9 |
K. He, X. Zhang, S. Ren, and J. Sun, "Deep Residual Learning for Image Recognition," Computer Vision and Pattern Recognition, 2016.
|
10 |
S. Zagoruyko and N. Komodakis, "Wide Residual Networks," arXiv: 1605.07146, 2016.
|
11 |
L. Xie, J. Wang, W. Lin, B. Zhang, and Q. Tian, "Towards Reversal-Invariant Image Representation," International Journal on Computer Vision, 2016.
|
12 |
G. Huang, Z. Liu, and K. Weinberger, "Densely Connected Convolutional Networks," arXiv: 1608.06993, 2016.
|
13 |
L. Xie, J. Wang, W. Lin, B. Zhang, and Q. Tian, "Towards Reversal-Invariant Image Representation", International Journal on Computer Vision, 2016.
|
14 |
K. Simonyan and A. Zisserman, "Very Deep Convolutional Networks for Large-Scale Image Recognition," International Conference on Learning Representations, 2014.
|
15 |
K. He, X. Zhang, S. Ren, and J. Sun, "Deep Residual Learning for Image Recognition,"Computer Vision and Pattern Recognition, 2016.
|
16 |
K. O. Stanley, D. B. D'Ambrosio, and J. Gauci, "A hypercube-based indirect encoding for evolving large scale neural networks," Artificial Life, vol. 15, 2009
|
17 |
J. Schmidhuber, "Deep Learning in Neural Networks: An Overview," Neural Networks, Vol. 61, pp. 85-117, 2015.
DOI
|
18 |
Y. LeCun, Y. Bengio, G. Hinton, "Deep learning," Nature Vol. 521, pp. 436-444, 2015.
DOI
|
19 |
J. D. Goldberg, Genetic Algorithms in Search, Optimition and Machine Learning, Addison-Wesley, Reading, MA, 1989.
|
20 |
K. O. Stanley and R. Miikkulainen, "Competitive coevolution through evolutionary complexification," Journal of Artificial Intelligence Research, vol. 21, pp. 63-100, 2004.
DOI
|
21 |
K. O. Stanley, "Compositional pattern producing networks: A novel abstraction of development," Genetic Programming and Evolvable Machines Special Issue on Dev. Sys., vol. 8, no. 2, pp. 131-162, 2007.
DOI
|
22 |
C. Fernando et al. "Convolution by Evolution: Differentiable Pattern Producing Networks," In Proceedings of the 2016 Genetic and Evolutionary Computation Conference, Denver, CO, USA, pp. 109-116. 2016.
|