Samira Ebrahimi Kahou
Samira Ebrahimi Kahou
Postdoctoral Researcher, McGill/Mila
Verified email at mcgill.ca - Homepage
TitleCited byYear
Fitnets: Hints for thin deep nets
A Romero, N Ballas, SE Kahou, A Chassang, C Gatta, Y Bengio
arXiv preprint arXiv:1412.6550, 2014
7872014
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
5832016
Combining Modality Specific Deep Neural Networks for Emotion Recognition in Video
SE Kahou, C Pal, X Bouthillier, P Froumenty, Ç Gülçehre, R Memisevic, ...
Proceedings of the 15th ACM on International Conference on Multimodal …, 2013
2222013
Emonets: Multimodal deep learning approaches for emotion recognition in video
SE Kahou, X Bouthillier, P Lamblin, C Gulcehre, V Michalski, K Konda, ...
Journal on Multimodal User Interfaces 10 (2), 99-111, 2016
2152016
Recurrent neural networks for emotion recognition in video
S Ebrahimi Kahou, V Michalski, K Konda, R Memisevic, C Pal
Proceedings of the 2015 ACM on International Conference on Multimodal …, 2015
1692015
Do deep convolutional nets really need to be deep (or even convolutional)?
G Urban, KJ Geras, SE Kahou, OAS Wang, R Caruana, A Mohamed, ...
102*2016
The" Something Something" Video Database for Learning and Evaluating Visual Common Sense.
R Goyal, SE Kahou, V Michalski, J Materzynska, S Westphal, H Kim, ...
ICCV 1 (2), 3, 2017
952017
RATM: Recurrent attentive tracking model
S Ebrahimi Kahou, V Michalski, R Memisevic, C Pal, P Vincent
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
54*2017
Extremeweather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events
E Racah, C Beckham, T Maharaj, SE Kahou, M Prabhat, C Pal
Advances in Neural Information Processing Systems, 3402-3413, 2017
392017
Facial Expression Analysis Based on High Dimensional Binary Features
SE Kahou, P Froumenty, C Pal
Computer Vision - ECCV 2014 Workshops, Part II, 135-147, 2015
352015
Figureqa: An annotated figure dataset for visual reasoning
SE Kahou, V Michalski, A Atkinson, Á Kádár, A Trischler, Y Bengio
arXiv preprint arXiv:1710.07300, 2017
292017
Chatpainter: Improving text to image generation using dialogue
S Sharma, D Suhubdy, V Michalski, SE Kahou, Y Bengio
arXiv preprint arXiv:1802.08216, 2018
202018
Towards deep conversational recommendations
R Li, SE Kahou, H Schulz, V Michalski, L Charlin, C Pal
Advances in Neural Information Processing Systems, 9725-9735, 2018
92018
Deep-hurricane-tracker: Tracking and forecasting extreme climate events
S Kim, H Kim, J Lee, S Yoon, SE Kahou, K Kashinath, M Prabhat
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1761-1769, 2019
62019
Tell, draw, and repeat: Generating and modifying images based on continual linguistic instruction
A El-Nouby, S Sharma, H Schulz, D Hjelm, LE Asri, SE Kahou, Y Bengio, ...
Proceedings of the IEEE International Conference on Computer Vision, 10304-10312, 2019
6*2019
Image compression: Comparative analysis of basic algorithms
Y Sulema, SE Kahou
2010 East-West Design & Test Symposium (EWDTS), 534-537, 2010
52010
Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies
S Chandar, C Sankar, E Vorontsov, SE Kahou, Y Bengio
arXiv preprint arXiv:1902.06704, 2019
32019
ClimateNet: bringing the power of Deep Learning to the climate community via open datasets and architectures
M Prabhat, K Kashinath, T Kurth, M Mudigonda, A Mahesh, BA Toms, ...
AGU Fall Meeting Abstracts, 2018
12018
Deep Learning for Extreme Weather Detection
M Prabhat, E Racah, J Biard, Y Liu, M Mudigonda, K Kashinath, ...
AGU Fall Meeting Abstracts, 2017
12017
ClimateNet: A Machine Learning dataset for Climate Science Research
M Prabhat, J Biard, S Ganguly, S Ames, K Kashinath, SK Kim, S Kahou, ...
AGU Fall Meeting Abstracts, 2017
12017
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Articles 1–20