Year |
Citation |
Score |
2020 |
Rajeswar S, Mannan F, Golemo F, Parent-Lévesque J, Vázquez D, Nowrouzezahrai D, Courville AC. Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images Using a View-Based Representation International Journal of Computer Vision. 1-16. DOI: 10.1007/S11263-020-01322-1 |
0.316 |
|
2018 |
Dumoulin V, Perez E, Schucher N, Strub F, Vries H, Courville A, Bengio Y. Feature-wise transformations Distill. 3. DOI: 10.23915/DISTILL.00011 |
0.404 |
|
2016 |
Havaei M, Davy A, Warde-Farley D, Biard A, Courville A, Bengio Y, Pal C, Jodoin PM, Larochelle H. Brain tumor segmentation with Deep Neural Networks. Medical Image Analysis. 35: 18-31. PMID 27310171 DOI: 10.1016/J.Media.2016.05.004 |
0.551 |
|
2015 |
Goodfellow IJ, Erhan D, Luc Carrier P, Courville A, Mirza M, Hamner B, Cukierski W, Tang Y, Thaler D, Lee DH, Zhou Y, Ramaiah C, Feng F, Li R, Wang X, et al. Challenges in representation learning: a report on three machine learning contests. Neural Networks : the Official Journal of the International Neural Network Society. 64: 59-63. PMID 25613956 DOI: 10.1016/J.Neunet.2014.09.005 |
0.564 |
|
2015 |
Cho K, Courville A, Bengio Y. Describing Multimedia Content Using Attention-Based Encoder-Decoder Networks Ieee Transactions On Multimedia. 17: 1875-1886. DOI: 10.1109/Tmm.2015.2477044 |
0.549 |
|
2015 |
Kahou SE, Bouthillier X, Lamblin P, Gulcehre C, Michalski V, Konda K, Jean S, Froumenty P, Dauphin Y, Boulanger-Lewandowski N, Chandias Ferrari R, Mirza M, Warde-Farley D, Courville A, Vincent P, et al. EmoNets: Multimodal deep learning approaches for emotion recognition in video Journal On Multimodal User Interfaces. DOI: 10.1007/S12193-015-0195-2 |
0.567 |
|
2015 |
Chung J, Kastner K, Dinh L, Goel K, Courville A, Bengio Y. A recurrent latent variable model for sequential data Advances in Neural Information Processing Systems. 2015: 2980-2988. |
0.509 |
|
2014 |
Courville A, Desjardins G, Bergstra J, Bengio Y. The Spike-and-Slab RBM and Extensions to Discrete and Sparse Data Distributions. Ieee Transactions On Pattern Analysis and Machine Intelligence. 36: 1874-87. PMID 26352238 DOI: 10.1109/Tpami.2013.238 |
0.591 |
|
2014 |
Goodfellow IJ, Pouget-Abadie J, Mirza M, Xu B, Warde-Farley D, Ozair S, Courville A, Bengio Y. Generative adversarial nets Advances in Neural Information Processing Systems. 3: 2672-2680. |
0.414 |
|
2014 |
Dumoulin V, Goodfellow IJ, Courville A, Bengio Y. On the challenges of physical implementations of RBMs Proceedings of the National Conference On Artificial Intelligence. 2: 1199-1205. |
0.471 |
|
2013 |
Goodfellow IJ, Courville A, Bengio Y. Scaling up spike-and-slab models for unsupervised feature learning. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 1902-14. PMID 23787343 DOI: 10.1109/Tpami.2012.273 |
0.573 |
|
2013 |
Bengio Y, Courville A, Vincent P. Representation learning: a review and new perspectives. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 1798-828. PMID 23787338 DOI: 10.1109/Tpami.2013.50 |
0.587 |
|
2013 |
Kahou SE, Pal C, Bouthillier X, Froumenty P, Gülçehre C, Memisevic R, Vincent P, Courville A, Bengio Y, Ferrari RC, Mirza M, Jean S, Carrier PL, Dauphin Y, Boulanger-Lewandowski N, et al. Combining modality specific deep neural networks for emotion recognition in video Icmi 2013 - Proceedings of the 2013 Acm International Conference On Multimodal Interaction. 543-550. DOI: 10.1145/2522848.2531745 |
0.445 |
|
2013 |
Goodfellow IJ, Erhan D, Carrier PL, Courville A, Mirza M, Hamner B, Cukierski W, Tang Y, Thaler D, Lee DH, Zhou Y, Ramaiah C, Feng F, Li R, Wang X, et al. Challenges in representation learning: A report on three machine learning contests Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8228: 117-124. DOI: 10.1007/978-3-642-42051-1_16 |
0.514 |
|
2013 |
Bengio Y, Courville A. Deep Learning of Representations Intelligent Systems Reference Library. 49: 1-28. DOI: 10.1007/978-3-642-36657-4_1 |
0.537 |
|
2013 |
Goodfellow IJ, Warde-Farley D, Mirza M, Courville A, Bengio Y. Maxout networks 30th International Conference On Machine Learning, Icml 2013. 2356-2364. |
0.507 |
|
2013 |
Luo H, Carrier PL, Courville A, Bengio Y. Texture modeling with convolutional spike-and-slab RBMs and deep extensions Journal of Machine Learning Research. 31: 415-423. |
0.504 |
|
2013 |
Goodfellow IJ, Mirza M, Courville A, Bengio Y. Multi-prediction deep Boltzmann machines Advances in Neural Information Processing Systems. |
0.5 |
|
2012 |
Daw ND, Courville AC, Dayan P. Semi-rational models of conditioning: The case of trial order The Probabilistic Mind: Prospects For Bayesian Cognitive Science. DOI: 10.1093/acprof:oso/9780199216093.003.0019 |
0.495 |
|
2012 |
Rifai S, Bengio Y, Courville A, Vincent P, Mirza M. Disentangling factors of variation for facial expression recognition Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7577: 808-822. DOI: 10.1007/978-3-642-33783-3_58 |
0.512 |
|
2012 |
Goodfellow IJ, Courville A, Bengio Y. Large-scale feature learning with spike-and-slab sparse coding Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 2: 1439-1446. |
0.538 |
|
2011 |
Vincent RD, Courville A, Pineau J. A bistable computational model of recurring epileptiform activity as observed in rodent slice preparations. Neural Networks : the Official Journal of the International Neural Network Society. 24: 526-37. PMID 21444193 DOI: 10.1016/J.Neunet.2011.03.003 |
0.31 |
|
2011 |
Courville A, Bergstra J, Bengio Y. A spike and slab Restricted Boltzmann Machine Journal of Machine Learning Research. 15: 233-241. |
0.481 |
|
2011 |
Desjardins G, Courville A, Bengio Y. On tracking the partition function Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011. |
0.489 |
|
2011 |
Courville A, Bergstra J, Bengio Y. Unsupervised models of images by spike-and-slab RBMs Proceedings of the 28th International Conference On Machine Learning, Icml 2011. 1145-1152. |
0.452 |
|
2010 |
Erhan D, Courville A, Bengio Y, Vincent P. Why does unsupervised pre-training help deep learning? Journal of Machine Learning Research. 9: 201-208. |
0.493 |
|
2010 |
Desjardins G, Courville A, Bengio Y, Vincent P, Delalleau O. Parallel tempering for training of restricted Boltzmann Machines Journal of Machine Learning Research. 9: 145-152. |
0.478 |
|
2009 |
Courville AC, Eck D, Bengio Y. An infinite factor model hierarchy via a noisy-or mechanism Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 405-413. |
0.496 |
|
2009 |
Daw ND, Courville AC. The pigeon as particle filter Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. |
0.431 |
|
2007 |
Larochelle H, Erhan D, Courville A, Bergstra J, Bengio Y. An empirical evaluation of deep architectures on problems with many factors of variation Acm International Conference Proceeding Series. 227: 473-480. DOI: 10.1145/1273496.1273556 |
0.537 |
|
2006 |
Courville AC, Daw ND, Touretzky DS. Bayesian theories of conditioning in a changing world. Trends in Cognitive Sciences. 10: 294-300. PMID 16793323 DOI: 10.1016/J.Tics.2006.05.004 |
0.705 |
|
2006 |
Daw ND, Courville AC, Tourtezky DS, Touretzky DS. Representation and timing in theories of the dopamine system. Neural Computation. 18: 1637-77. PMID 16764517 DOI: 10.1162/neco.2006.18.7.1637 |
0.678 |
|
2006 |
Wellington C, Courville A, Stentz A. A generative model of terrain for autonomous navigation in vegetation International Journal of Robotics Research. 25: 1287-1304. DOI: 10.1177/0278364906072769 |
0.31 |
|
2005 |
Courville AC, Daw ND, Touretzky DS. Similarity and discrimination in classical conditioning: A latent variable account Advances in Neural Information Processing Systems. |
0.664 |
|
2004 |
Courville AC, Daw ND, Gordon GJ, Touretzky DS. Model uncertainty in classical conditioning Advances in Neural Information Processing Systems. |
0.672 |
|
2003 |
Daw ND, Courville AC, Touretzky DS. Timing and partial observability in the dopamine system Advances in Neural Information Processing Systems. |
0.632 |
|
2002 |
Daw ND, Courville AC, Touretzky DS. Dopamine and inference about timing Proceedings - 2nd International Conference On Development and Learning, Icdl 2002. 271-276. DOI: 10.1109/DEVLRN.2002.1011901 |
0.716 |
|
2002 |
Bardakjian BL, Chiu AWL, Courville A. A connectionist perspective on detection and control of epileptic seizures Annual International Conference of the Ieee Engineering in Medicine and Biology - Proceedings. 3: 2021-2022. |
0.526 |
|
2002 |
Courville AC, Touretzky DS. Modeling temporal structure in classical conditioning Advances in Neural Information Processing Systems. |
0.583 |
|
1999 |
Courville A, Bardakjian BL. Chaosmakers: Rhythmicity breakers Annual International Conference of the Ieee Engineering in Medicine and Biology - Proceedings. 1: 406. |
0.539 |
|
1999 |
Bardakjian BL, Karlson P, Courville A. Parallel nonlinear-linear neuronal model Annual International Conference of the Ieee Engineering in Medicine and Biology - Proceedings. 1: 397. |
0.514 |
|
1997 |
Bardakjian BL, Courville A, Vigmond EJ. Memory of neuronal networks: The white noise approach Annual International Conference of the Ieee Engineering in Medicine and Biology - Proceedings. 3: 1377-1379. |
0.513 |
|
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