Dumitru Erhan
Dumitru Erhan
Staff Research Scientist, Google Brain
Verified email at google.com - Homepage
TitleCited byYear
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
Ssd: Single shot multibox detector
W Liu, D Anguelov, D Erhan, C Szegedy, S Reed, CY Fu, AC Berg
European conference on computer vision, 21-37, 2016
Show and tell: A neural image caption generator
O Vinyals, A Toshev, S Bengio, D Erhan
Proceedings of the IEEE conference on computer vision and pattern …, 2015
Intriguing properties of neural networks
C Szegedy, W Zaremba, I Sutskever, J Bruna, D Erhan, I Goodfellow, ...
arXiv preprint arXiv:1312.6199, 2013
Why does unsupervised pre-training help deep learning?
D Erhan, Y Bengio, A Courville, PA Manzagol, P Vincent, S Bengio
Journal of Machine Learning Research 11 (Feb), 625-660, 2010
Deep neural networks for object detection
C Szegedy, A Toshev, D Erhan
Advances in neural information processing systems, 2553-2561, 2013
An empirical evaluation of deep architectures on problems with many factors of variation
H Larochelle, D Erhan, A Courville, J Bergstra, Y Bengio
Proceedings of the 24th international conference on Machine learning, 473-480, 2007
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
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv preprint arXiv:1605.02688, 2016
Visualizing higher-layer features of a deep network
D Erhan, Y Bengio, A Courville, P Vincent
University of Montreal 1341 (3), 1, 2009
Unsupervised pixel-level domain adaptation with generative adversarial networks
K Bousmalis, N Silberman, D Dohan, D Erhan, D Krishnan
Proceedings of the IEEE conference on computer vision and pattern …, 2017
The difficulty of training deep architectures and the effect of unsupervised pre-training
D Erhan, PA Manzagol, Y Bengio, S Bengio, P Vincent
Artificial Intelligence and Statistics, 153-160, 2009
Domain separation networks
K Bousmalis, G Trigeorgis, N Silberman, D Krishnan, D Erhan
Advances in Neural Information Processing Systems, 343-351, 2016
Aggregate features and ADABOOST for music classification
J Bergstra, N Casagrande, D Erhan, D Eck, B Kégl
Machine learning 65 (2-3), 473-484, 2006
Show and tell: Lessons learned from the 2015 mscoco image captioning challenge
O Vinyals, A Toshev, S Bengio, D Erhan
IEEE transactions on pattern analysis and machine intelligence 39 (4), 652-663, 2016
Challenges in representation learning: A report on three machine learning contests
IJ Goodfellow, D Erhan, PL Carrier, A Courville, M Mirza, B Hamner, ...
Neural Networks 64, 59-63, 2015
Scalable, high-quality object detection
C Szegedy, S Reed, D Erhan, D Anguelov, S Ioffe
arXiv preprint arXiv:1412.1441, 2014
Zero-data learning of new tasks.
H Larochelle, D Erhan, Y Bengio
AAAI 1 (2), 3, 2008
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
Collaborative filtering on a family of biological targets
D Erhan, PJ L'Heureux, SY Yue, Y Bengio
Journal of chemical information and modeling 46 (2), 626-635, 2006
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