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Christian Szegedy
Christian Szegedy
Researcher
Verified email at szegedy.org
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Going deeper with convolutions
C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, ...
Proceedings of the IEEE conference on computer vision and pattern…, 2015
594322015
Batch normalization: Accelerating deep network training by reducing internal covariate shift
S Ioffe, C Szegedy
International conference on machine learning, 448-456, 2015
550552015
Ssd: Single shot multibox detector
W Liu, D Anguelov, D Erhan, C Szegedy, S Reed, CY Fu, AC Berg
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The…, 2016
378582016
Rethinking the inception architecture for computer vision
C Szegedy, V Vanhoucke, S Ioffe, J Shlens, Z Wojna
Proceedings of the IEEE conference on computer vision and pattern…, 2016
330642016
Explaining and harnessing adversarial examples
IJ Goodfellow, J Shlens, C Szegedy
arXiv preprint arXiv:1412.6572, 2014
203682014
Inception-v4, inception-resnet and the impact of residual connections on learning
C Szegedy, S Ioffe, V Vanhoucke, A Alemi
Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017
167292017
Intriguing properties of neural networks
C Szegedy, W Zaremba, I Sutskever, J Bruna, D Erhan, I Goodfellow, ...
arXiv preprint arXiv:1312.6199, 2013
162432013
Deeppose: Human pose estimation via deep neural networks
A Toshev, C Szegedy
Proceedings of the IEEE conference on computer vision and pattern…, 2014
36662014
Deep neural networks for object detection
C Szegedy, A Toshev, D Erhan
Advances in neural information processing systems 26, 2013
20122013
Scalable object detection using deep neural networks
D Erhan, C Szegedy, A Toshev, D Anguelov
Proceedings of the IEEE conference on computer vision and pattern…, 2014
15652014
Batch normalization: Accelerating deep network training by reducing internal covariate shift. arXiv 2015
S Ioffe, C Szegedy
arXiv preprint arXiv:1502.03167, 2015
11872015
Training deep neural networks on noisy labels with bootstrapping
S Reed, H Lee, D Anguelov, C Szegedy, D Erhan, A Rabinovich
arXiv preprint arXiv:1412.6596, 2014
11342014
Scalable, high-quality object detection
C Szegedy, S Reed, D Erhan, D Anguelov, S Ioffe
arXiv preprint arXiv:1412.1441, 2014
5512014
Going deeper with convolutions. arXiv 2014
C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, ...
arXiv preprint arXiv:1409.4842 1409, 2015
4802015
Inception-v4
C Szegedy, S Ioffe, V Vanhoucke, A Alemi
Inception-ResNet and the impact of residual connections on learning 1602, 2016
3522016
Intriguing properties of neural networks. arXiv 2013
C Szegedy, W Zaremba, I Sutskever, J Bruna, D Erhan, I Goodfellow, ...
arXiv preprint arXiv:1312.6199 103, 2013
3362013
Intriguing properties of neural networks
J Bruna, C Szegedy, I Sutskever, I Goodfellow, W Zaremba, R Fergus, ...
2832013
Deepmath-deep sequence models for premise selection
G Irving, C Szegedy, AA Alemi, N En, F Chollet, J Urban
Advances in neural information processing systems 29, 2016
266*2016
Rethinking the inception architecture for computer vision. 2015
C Szegedy, V Vanhoucke, S Ioffe, J Shlens, Z Wojna
arXiv preprint arXiv:1512.00567, 2015
2292015
Deep network guided proof search
S Loos, G Irving, C Szegedy, C Kaliszyk
arXiv preprint arXiv:1701.06972, 2017
1962017
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