| Tabular transformers for modeling multivariate time series I Padhi, Y Schiff, I Melnyk, M Rigotti, Y Mroueh, P Dognin, J Ross, R Nair, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 77 | 2021 |
| 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 | 47* | 2019 |
| Image captioning as an assistive technology: Lessons learned from vizwiz 2020 challenge P Dognin, I Melnyk, Y Mroueh, I Padhi, M Rigotti, J Ross, Y Schiff, ... Journal of Artificial Intelligence Research 73, 437-459, 2022 | 39 | 2022 |
| Wasserstein barycenter model ensembling P Dognin, I Melnyk, Y Mroueh, J Ross, CD Santos, T Sercu arXiv preprint arXiv:1902.04999, 2019 | 30 | 2019 |
| Systems and methods for combining stochastic average gradient and hessian-free optimization for sequence training of deep neural networks P Dognin, V Goel US Patent 9,483,728, 2016 | 22 | 2016 |
| Learning implicit generative models by matching perceptual features CN Santos, Y Mroueh, I Padhi, P Dognin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 19 | 2019 |
| Fair infinitesimal jackknife: Mitigating the influence of biased training data points without refitting P Sattigeri, S Ghosh, I Padhi, P Dognin, KR Varshney Advances in Neural Information Processing Systems 35, 35894-35906, 2022 | 17 | 2022 |
| Regen: Reinforcement learning for text and knowledge base generation using pretrained language models PL Dognin, I Padhi, I Melnyk, P Das arXiv preprint arXiv:2108.12472, 2021 | 16 | 2021 |
| Acoustic modeling with bootstrap and restructuring for low-resourced languages X Cui, J Xue, PL Dognin, UV Chaudhari, B Zhou Eleventh Annual Conference of the International Speech Communication Association, 2010 | 16 | 2010 |
| Hidden markov acoustic modeling with bootstrap and restructuring for low-resourced languages X Cui, J Xue, X Chen, PA Olsen, PL Dognin, UV Chaudhari, JR Hershey, ... IEEE Transactions on Audio, Speech, and Language Processing 20 (8), 2252-2264, 2012 | 15 | 2012 |
| Knowledge graph generation from text I Melnyk, P Dognin, P Das arXiv preprint arXiv:2211.10511, 2022 | 14 | 2022 |
| Dualtkb: A dual learning bridge between text and knowledge base PL Dognin, I Melnyk, I Padhi, CN Santos, P Das arXiv preprint arXiv:2010.14660, 2020 | 14 | 2020 |
| Combining stochastic average gradient and hessian-free optimization for sequence training of deep neural networks P Dognin, V Goel 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 321-325, 2013 | 14 | 2013 |
| Improved image captioning with adversarial semantic alignment I Melnyk, T Sercu, PL Dognin, J Ross, Y Mroueh arXiv preprint arXiv:1805.00063, 2018 | 13 | 2018 |
| Parameter optimization for vocal tract length normalization P Dognin, A El-Jaroudi, J Billa 2000 IEEE International Conference on Acoustics, Speech, and Signal …, 2000 | 13 | 2000 |
| Factorial hidden restricted boltzmann machines for noise robust speech recognition SJ Rennie, P Fousek, PL Dognin 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 12 | 2012 |
| The 2001 Byblos English large vocabulary conversational speech recognition system S Matsoukas, T Colthurst, O Kimball, A Solomonoff, F Richardson, ... 2002 IEEE International Conference on Acoustics, Speech, and Signal …, 2002 | 11 | 2002 |
| System and method for dynamic noise adaptation for robust automatic speech recognition SJ Rennie, P Dognin, P Fousek US Patent 8,972,256, 2015 | 10 | 2015 |
| Refactoring acoustic models using variational density approximation PL Dognin, JR Hershey, V Goel, PA Olsen 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009 | 10 | 2009 |
| Refactoring acoustic models using variational expectation-maximization. PL Dognin, JR Hershey, V Goel, PA Olsen INTERSPEECH, 212-215, 2009 | 9 | 2009 |
Youssef MrouehPrincipal Research Scientist, IBM T.J Watson Research CenterVerified email at us.ibm.com
