| A survey of real-time strategy game AI research and competition in StarCraft S Ontanón, G Synnaeve, A Uriarte, F Richoux, D Churchill, M Preuss IEEE Transactions on Computational Intelligence and AI in games 5 (4), 293-311, 2013 | 398 | 2013 |
| Wav2letter: an end-to-end convnet-based speech recognition system R Collobert, C Puhrsch, G Synnaeve arXiv preprint arXiv:1609.03193, 2016 | 160 | 2016 |
| Intrinsic motivation and automatic curricula via asymmetric self-play S Sukhbaatar, Z Lin, I Kostrikov, G Synnaeve, A Szlam, R Fergus arXiv preprint arXiv:1703.05407, 2017 | 139 | 2017 |
| Episodic exploration for deep deterministic policies: An application to starcraft micromanagement tasks N Usunier, G Synnaeve, Z Lin, S Chintala arXiv preprint arXiv:1609.02993, 2016 | 114 | 2016 |
| A Bayesian model for opening prediction in RTS games with application to StarCraft G Synnaeve, P Bessiere 2011 IEEE Conference on Computational Intelligence and Games (CIG'11), 281-288, 2011 | 113 | 2011 |
| A Bayesian model for plan recognition in RTS games applied to StarCraft G Synnaeve, P Bessiere arXiv preprint arXiv:1111.3735, 2011 | 104 | 2011 |
| Torchcraft: a library for machine learning research on real-time strategy games G Synnaeve, N Nardelli, A Auvolat, S Chintala, T Lacroix, Z Lin, F Richoux, ... arXiv preprint arXiv:1611.00625, 2016 | 93 | 2016 |
| A Bayesian model for RTS units control applied to StarCraft G Synnaeve, P Bessiere 2011 IEEE Conference on Computational Intelligence and Games (CIG'11), 190-196, 2011 | 79 | 2011 |
| A hybrid dynamic time warping-deep neural network architecture for unsupervised acoustic modeling R Thiolliere, E Dunbar, G Synnaeve, M Versteegh, E Dupoux Sixteenth Annual Conference of the International Speech Communication …, 2015 | 64 | 2015 |
| Mazebase: A sandbox for learning from games S Sukhbaatar, A Szlam, G Synnaeve, S Chintala, R Fergus arXiv preprint arXiv:1511.07401, 2015 | 63 | 2015 |
| wav2letter++: The fastest open-source speech recognition system V Pratap, A Hannun, Q Xu, J Cai, J Kahn, G Synnaeve, V Liptchinsky, ... arXiv preprint arXiv:1812.07625, 2018 | 60* | 2018 |
| Letter-Based Speech Recognition with Gated ConvNets V Liptchinsky, G Synnaeve, R Collobert arXiv preprint arXiv:1712.09444, 2017 | 56 | 2017 |
| Phonetics Embedding Learning with Side Information G Synnaeve, T Schatz, E Dupoux IEEE Spoken Language Technology Workshop, 2014 | 56 | 2014 |
| Learning filterbanks from raw speech for phone recognition N Zeghidour, N Usunier, I Kokkinos, T Schaiz, G Synnaeve, E Dupoux 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 50 | 2018 |
| A dataset for starcraft ai\& an example of armies clustering G Synnaeve, P Bessiere arXiv preprint arXiv:1211.4552, 2012 | 50 | 2012 |
| Fully convolutional speech recognition N Zeghidour, Q Xu, V Liptchinsky, N Usunier, G Synnaeve, R Collobert arXiv preprint arXiv:1812.06864, 2018 | 48 | 2018 |
| End-to-end speech recognition from the raw waveform N Zeghidour, N Usunier, G Synnaeve, R Collobert, E Dupoux arXiv preprint arXiv:1806.07098, 2018 | 48 | 2018 |
| Special tactics: A bayesian approach to tactical decision-making G Synnaeve, P Bessiere 2012 IEEE Conference on Computational Intelligence and Games (CIG), 409-416, 2012 | 43 | 2012 |
| Joint learning of speaker and phonetic similarities with siamese networks. N Zeghidour, G Synnaeve, N Usunier, E Dupoux INTERSPEECH, 1295-1299, 2016 | 39 | 2016 |
| End-to-end asr: from supervised to semi-supervised learning with modern architectures G Synnaeve, Q Xu, J Kahn, E Grave, T Likhomanenko, V Pratap, A Sriram, ... arXiv preprint arXiv:1911.08460, 2019 | 38 | 2019 |
Ronan CollobertFacebook AI ResearchVerified email at collobert.com
