עקוב אחר
Dumitru Erhan
Dumitru Erhan
Director of Research @ Google DeepMind
כתובת אימייל מאומתת בדומיין google.com - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
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
652042015
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
445792016
Intriguing properties of neural networks‏
C Szegedy, W Zaremba, I Sutskever, J Bruna, D Erhan, I Goodfellow, ...‏
arXiv preprint arXiv:1312.6199, 2013‏
188402013
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
81102015
Why does unsupervised pre-training help deep learning?‏
D Erhan, A Courville, Y Bengio, P Vincent‏
Proceedings of the thirteenth international conference on artificial …, 2010‏
36872010
Challenges in representation learning: A report on three machine learning contests‏
IJ Goodfellow, D Erhan, PL Carrier, A Courville, M Mirza, B Hamner, ...‏
Neural information processing: 20th international conference, ICONIP 2013 …, 2013‏
22952013
Deep neural networks for object detection‏
C Szegedy, A Toshev, D Erhan‏
Advances in neural information processing systems 26, 1-9, 2013‏
21722013
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
19862017
Visualizing higher-layer features of a deep network‏
D Erhan, Y Bengio, A Courville, P Vincent‏
University of Montreal 1341 (3), 1, 2009‏
18582009
Domain separation networks‏
K Bousmalis, G Trigeorgis, N Silberman, D Krishnan, D Erhan‏
Advances in neural information processing systems 29, 2016‏
18212016
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
16302014
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
14522007
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
12502014
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
11492016
Theano: A Python framework for fast computation of mathematical expressions‏
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...‏
arXiv e-prints, arXiv: 1605.02688, 2016‏
1138*2016
Model-based reinforcement learning for atari‏
L Kaiser, M Babaeizadeh, P Milos, B Osinski, RH Campbell, ...‏
arXiv preprint arXiv:1903.00374, 2019‏
10782019
Proceedings of the IEEE conference on computer vision and pattern recognition‏
C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, ...‏
Going deeper with convolutions, 1-9, 2015‏
9812015
SSD: single shot MultiBox detector‏
A LIUW, D Erhan‏
European conference on computer vision, 21-37, 2016‏
8942016
Leibe B, Matas J, Sebe N, Welling M, et al. SSD: single shot multibox detector‏
W Liu, D Anguelov, D Erhan, C Szegedy, S Reed, CY Fu, AC Berg‏
Computer Vision–ECCV 2016, 21-37, 2016‏
8512016
The (un) reliability of saliency methods‏
PJ Kindermans, S Hooker, J Adebayo, M Alber, KT Schütt, S Dähne, ...‏
Explainable AI: Interpreting, explaining and visualizing deep learning, 267-280, 2019‏
8382019
המערכת אינה יכולה לבצע את הפעולה כעת. נסה שוב מאוחר יותר.
מאמרים 1–20