Ronan Collobert
Ronan Collobert
Machine Learning Research, Apple
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Cited by
Cited by
Natural language processing (almost) from scratch
R Collobert, J Weston, L Bottou, M Karlen, K Kavukcuoglu, P Kuksa
Journal of machine learning research 12 (ARTICLE), 2493− 2537, 2011
A unified architecture for natural language processing: Deep neural networks with multitask learning
R Collobert, J Weston
Proceedings of the 25th international conference on Machine learning, 160-167, 2008
Curriculum learning
Y Bengio, J Louradour, R Collobert, J Weston
Proceedings of the 26th annual international conference on machine learning …, 2009
Torch7: A matlab-like environment for machine learning
R Collobert, K Kavukcuoglu, C Farabet
BigLearn, NIPS workshop, 2011
SVMTorch: Support vector machines for large-scale regression problems
R Collobert, S Bengio
Journal of machine learning research 1 (Feb), 143-160, 2001
Deep learning via semi-supervised embedding
J Weston, F Ratle, H Mobahi, R Collobert
Neural networks: Tricks of the trade, 639-655, 2012
Learning structured embeddings of knowledge bases
A Bordes, J Weston, R Collobert, Y Bengio
Twenty-fifth AAAI conference on artificial intelligence, 2011
Recurrent convolutional neural networks for scene labeling
P Pinheiro, R Collobert
International conference on machine learning, 82-90, 2014
Learning to refine object segments
PO Pinheiro, TY Lin, R Collobert, P Dollár
ECCV, 2016
Learning to segment object candidates
PO O Pinheiro, R Collobert, P Dollár
Advances in neural information processing systems 28, 2015
From image-level to pixel-level labeling with convolutional networks
PO Pinheiro, R Collobert
Proceedings of the IEEE conference on computer vision and pattern …, 2015
Torch: a modular machine learning software library
R Collobert, S Bengio, J Mariéthoz
Idiap, 2002
wav2vec: Unsupervised pre-training for speech recognition
S Schneider, A Baevski, R Collobert, M Auli
arXiv preprint arXiv:1904.05862, 2019
Large scale transductive SVMS.
R Collobert, F Sinz, J Weston, L Bottou, T Joachims
Journal of Machine Learning Research 7 (8), 2006
A parallel mixture of SVMs for very large scale problems
R Collobert, S Bengio, Y Bengio
Advances in Neural Information Processing Systems 14, 2001
Video (language) modeling: a baseline for generative models of natural videos
MA Ranzato, A Szlam, J Bruna, M Mathieu, R Collobert, S Chopra
arXiv preprint arXiv:1412.6604, 2014
Deep learning from temporal coherence in video
H Mobahi, R Collobert, J Weston
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
Trading convexity for scalability
R Collobert, F Sinz, J Weston, L Bottou
Proceedings of the 23rd international conference on Machine learning, 201-208, 2006
Links between perceptrons, MLPs and SVMs
R Collobert, S Bengio
Proceedings of the twenty-first international conference on Machine learning, 23, 2004
Word emdeddings through hellinger pca
R Lebret, R Collobert
arXiv preprint arXiv:1312.5542, 2013
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