| An autoencoder approach to learning bilingual word representations S Chandar, S Lauly, H Larochelle, M Khapra, B Ravindran, VC Raykar, ... Advances in Neural Information Processing Systems, 1853-1861, 2014 | 256 | 2014 |
| Guesswhat?! visual object discovery through multi-modal dialogue H De Vries, F Strub, S Chandar, O Pietquin, H Larochelle, A Courville Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 163 | 2017 |
| Generating factoid questions with recurrent neural networks: The 30m factoid question-answer corpus IV Serban, A García-Durán, C Gulcehre, S Ahn, S Chandar, A Courville, ... arXiv preprint arXiv:1603.06807, 2016 | 133 | 2016 |
| A deep reinforcement learning chatbot IV Serban, C Sankar, M Germain, S Zhang, Z Lin, S Subramanian, T Kim, ... arXiv preprint arXiv:1709.02349, 2017 | 97 | 2017 |
| Correlational neural networks S Chandar, MM Khapra, H Larochelle, B Ravindran Neural computation 28 (2), 257-285, 2016 | 80 | 2016 |
| Dynamic neural turing machine with continuous and discrete addressing schemes C Gulcehre, S Chandar, K Cho, Y Bengio Neural computation 30 (4), 857-884, 2018 | 60 | 2018 |
| Hierarchical memory networks S Chandar, S Ahn, H Larochelle, P Vincent, G Tesauro, Y Bengio arXiv preprint arXiv:1605.07427, 2016 | 48 | 2016 |
| Memory augmented neural networks with wormhole connections C Gulcehre, S Chandar, Y Bengio arXiv preprint arXiv:1701.08718, 2017 | 39 | 2017 |
| Complex sequential question answering: Towards learning to converse over linked question answer pairs with a knowledge graph A Saha, V Pahuja, MM Khapra, K Sankaranarayanan, S Chandar Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 32 | 2018 |
| The hanabi challenge: A new frontier for ai research N Bard, JN Foerster, S Chandar, N Burch, M Lanctot, HF Song, E Parisotto, ... Artificial Intelligence 280, 103216, 2020 | 24 | 2020 |
| Bridge correlational neural networks for multilingual multimodal representation learning J Rajendran, MM Khapra, S Chandar, B Ravindran arXiv preprint arXiv:1510.03519, 2015 | 23 | 2015 |
| Clustering is efficient for approximate maximum inner product search A Auvolat, S Chandar, P Vincent, H Larochelle, Y Bengio arXiv preprint arXiv:1507.05910, 2015 | 21 | 2015 |
| Multilingual deep learning S Chandar, MM Khapra, B Ravindran, V Raykar, A Saha Deep Learning Workshop at NIPS, 2013 | 17 | 2013 |
| A correlational encoder decoder architecture for pivot based sequence generation A Saha, MM Khapra, S Chandar, J Rajendran, K Cho arXiv preprint arXiv:1606.04754, 2016 | 12 | 2016 |
| Toward Training Recurrent Neural Networks for Lifelong Learning S Sodhani, S Chandar, Y Bengio Neural computation 32 (1), 1-35, 2020 | 11* | 2020 |
| Personalized e-course composition approach using digital pheromones in improved particle swarm optimization SC AP, SG Dheeban, V Deepak, S Elias 2010 Sixth International Conference on Natural Computation 5, 2677-2681, 2010 | 10 | 2010 |
| Do neural dialog systems use the conversation history effectively? an empirical study C Sankar, S Subramanian, C Pal, S Chandar, Y Bengio arXiv preprint arXiv:1906.01603, 2019 | 8 | 2019 |
| A deep reinforcement learning chatbot (short version) IV Serban, C Sankar, M Germain, S Zhang, Z Lin, S Subramanian, T Kim, ... arXiv preprint arXiv:1801.06700, 2018 | 7 | 2018 |
| Towards non-saturating recurrent units for modelling long-term dependencies S Chandar, C Sankar, E Vorontsov, SE Kahou, Y Bengio Proceedings of the AAAI Conference on Artificial Intelligence 33, 3280-3287, 2019 | 6 | 2019 |
| Reasoning about linguistic regularities in word embeddings using matrix manifolds S Mahadevan, S Chandar arXiv preprint arXiv:1507.07636, 2015 | 6 | 2015 |
Yoshua BengioProfessor, University of Montreal (Computer Sc. & Op. Res.), Mila, CIFAR, CRM, IVADO, REPARTI, GRSNCVerified email at mila.quebec
