Seuraa
Pascal Lamblin
Pascal Lamblin
Google Research, Brain Team
Vahvistettu sähköpostiosoite verkkotunnuksessa google.com
Nimike
Viittaukset
Viittaukset
Vuosi
Greedy layer-wise training of deep networks
Y Bengio, P Lamblin, D Popovici, H Larochelle
Advances in neural information processing systems 19, 2006
64302006
Theano: A CPU and GPU math compiler in Python
J Bergstra, O Breuleux, F Bastien, P Lamblin, R Pascanu, G Desjardins, ...
Proc. 9th python in science conf 1, 3-10, 2010
2737*2010
Theano: new features and speed improvements
F Bastien, P Lamblin, R Pascanu, J Bergstra, I Goodfellow, A Bergeron, ...
arXiv preprint arXiv:1211.5590, 2012
16562012
Exploring strategies for training deep neural networks.
H Larochelle, Y Bengio, J Louradour, P Lamblin
Journal of machine learning research 10 (1), 2009
12292009
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
1031*2016
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, 99-111, 2016
4372016
Meta-dataset: A dataset of datasets for learning to learn from few examples
E Triantafillou, T Zhu, V Dumoulin, P Lamblin, U Evci, K Xu, R Goroshin, ...
arXiv preprint arXiv:1903.03096, 2019
4292019
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
3732013
Pylearn2: a machine learning research library
IJ Goodfellow, D Warde-Farley, P Lamblin, V Dumoulin, M Mirza, ...
arXiv preprint arXiv:1308.4214, 2013
3622013
Advances in neural information processing systems 19
Y Bengio, P Lamblin, D Popovici, H Larochelle
Curran Associates, 2007
3542007
Theano: Deep learning on GPUs with python
J Bergstra, F Bastien, O Breuleux, P Lamblin, R Pascanu, O Delalleau, ...
NIPS 2011, BigLearning Workshop, Granada, Spain 3, 2011
3332011
Quadratic polynomials learn better image features
J Bergstra, G Desjardins, P Lamblin, Y Bengio
Technical report, 1337, 2009
832009
Automatic differentiation in ML: Where we are and where we should be going
B Van Merriënboer, O Breuleux, A Bergeron, P Lamblin
Advances in neural information processing systems 31, 2018
702018
Important gains from supervised fine-tuning of deep architectures on large labeled sets
P Lamblin, Y Bengio
NIPS* 2010 Deep Learning and Unsupervised Feature Learning Workshop, 1-8, 2010
282010
Learning the 2-D topology of images
N Le Roux, Y Bengio, P Lamblin, M Joliveau, B Kégl
Advances in Neural Information Processing Systems, 841-848, 2008
25*2008
PLUR: A unifying, graph-based view of program learning, understanding, and repair
Z Chen, VJ Hellendoorn, P Lamblin, P Maniatis, PA Manzagol, D Tarlow, ...
Advances in Neural Information Processing Systems 34, 23089-23101, 2021
122021
Oríon-asynchronous distributed hyperparameter optimization
X Bouthillier, C Tsirigotis, F Corneau-Tremblay, P Delaunay, ...
October, 2019
92019
Deep learning on GPUs with Theano
J Bergstra, F Bastien, J Turian, R Pascanu, O Delalleau, O Breuleux, ...
The Learning Workshop, 2010
72010
Oríon: Experiment version control for efficient hyperparameter optimization
C Tsirigotis, X Bouthillier, F Corneau-Tremblay, P Henderson, R Askari, ...
42018
Image classification with complex cell neural networks
J Bergstra, Y Bengio, P Lamblin, G Desjardins, J Louradour
Front. Neurosci. Computational and Systems Neuroscience, 2010
12010
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Artikkelit 1–20