| English conversational telephone speech recognition by humans and machines G Saon, G Kurata, T Sercu, K Audhkhasi, S Thomas, D Dimitriadis, X Cui, ... arXiv preprint arXiv:1703.02136, 2017 | 322 | 2017 |
| The IBM 2016 English Conversational Telephone Speech Recognition System G Saon, T Sercu, S Rennie, HKJ Kuo https://arxiv.org/abs/1604.08242, 2016 | 219 | 2016 |
| Very deep multilingual convolutional neural networks for LVCSR T Sercu, C Puhrsch, B Kingsbury, Y LeCun ICASSP 2016, 4955-4959, 2016 | 216 | 2016 |
| Fisher gan Y Mroueh, T Sercu arXiv preprint arXiv:1705.09675, 2017 | 112 | 2017 |
| Mcgan: Mean and covariance feature matching gan Y Mroueh, T Sercu, V Goel International conference on machine learning, 2527-2535, 2017 | 95 | 2017 |
| Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences A Rives, J Meier, T Sercu, S Goyal, Z Lin, D Guo, M Ott, CL Zitnick, J Ma, ... bioRxiv, 622803, 2019 | 91 | 2019 |
| Sobolev gan Y Mroueh, CL Li, T Sercu, A Raj, Y Cheng arXiv preprint arXiv:1711.04894, 2017 | 72 | 2017 |
| Knowledge distillation across ensembles of multilingual models for low-resource languages J Cui, B Kingsbury, B Ramabhadran, G Saon, T Sercu, K Audhkhasi, ... 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 55 | 2017 |
| Dense prediction on sequences with time-dilated convolutions for speech recognition T Sercu, V Goel arXiv preprint arXiv:1611.09288, 2016 | 48 | 2016 |
| Advances in Very Deep Convolutional Neural Networks for LVCSR T Sercu, V Goel Interspeech 2016, 2016 | 44 | 2016 |
| Big-little net: An efficient multi-scale feature representation for visual and speech recognition CF Chen, Q Fan, N Mallinar, T Sercu, R Feris arXiv preprint arXiv:1807.03848, 2018 | 36 | 2018 |
| Adversarial semantic alignment for improved image captions P Dognin, I Melnyk, Y Mroueh, J Ross, T Sercu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 17* | 2019 |
| Network architectures for multilingual speech representation learning T Sercu, G Saon, J Cui, X Cui, B Ramabhadran, B Kingsbury, A Sethy 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 15 | 2017 |
| Improved image captioning with adversarial semantic alignment I Melnyk, T Sercu, PL Dognin, J Ross, Y Mroueh arXiv preprint arXiv:1805.00063, 2018 | 12 | 2018 |
| Pepcvae: Semi-supervised targeted design of antimicrobial peptide sequences P Das, K Wadhawan, O Chang, T Sercu, CD Santos, M Riemer, ... arXiv preprint arXiv:1810.07743, 2018 | 11 | 2018 |
| Wasserstein barycenter model ensembling P Dognin, I Melnyk, Y Mroueh, J Ross, CD Santos, T Sercu arXiv preprint arXiv:1902.04999, 2019 | 10 | 2019 |
| Transformer protein language models are unsupervised structure learners R Rao, S Ovchinnikov, J Meier, A Rives, T Sercu bioRxiv, 2020 | 8 | 2020 |
| Sobolev descent Y Mroueh, T Sercu, A Raj The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 8* | 2019 |
| Msa transformer R Rao, J Liu, R Verkuil, J Meier, JF Canny, P Abbeel, T Sercu, A Rives bioRxiv, 2021 | 6 | 2021 |
| Accelerating antimicrobial discovery with controllable deep generative models and molecular dynamics P Das, T Sercu, K Wadhawan, I Padhi, S Gehrmann, F Cipcigan, ... arXiv preprint arXiv:2005.11248, 2020 | 4 | 2020 |
Youssef MrouehResearch Staff member , IBM T.J Watson Research CenterVerified email at us.ibm.com
