| Self-critical Sequence Training for Image Captioning SJ Rennie, E Marcheret, Y Mroueh, J Ross, V Goel CVPR 2017, 2016 | 1887 | 2016 |
| Deep multimodal learning for audio-visual speech recognition Y Mroueh, E Marcheret, V Goel 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 263 | 2015 |
| Fisher GAN Y Mroueh, T Sercu arXiv preprint arXiv:1705.09675, NIPS 2017, 2017 | 164 | 2017 |
| McGan: Mean and Covariance Feature Matching GAN Y Mroueh, T Sercu, V Goel arXiv preprint arXiv:1702.08398, ICML 2017, 2017 | 147 | 2017 |
| Sobolev gan Y Mroueh, CL Li, T Sercu, A Raj, Y Cheng arXiv preprint arXiv:1711.04894, 2017 | 132 | 2017 |
| Fair mixup: Fairness via interpolation CY Chuang, Y Mroueh arXiv preprint arXiv:2103.06503, 2021 | 77 | 2021 |
| Convex Learning of Multiple Tasks and their Structure C Ciliberto, Y Mroueh, tomaso Poggio, L Rosasco ICML 2015, 2015 | 75 | 2015 |
| Multiclass learning with simplex coding Y Mroueh, T Poggio, L Rosasco, JJ Slotine Advances in Neural Information Processing Systems 25, 2012 | 60 | 2012 |
| Towards better understanding of adaptive gradient algorithms in generative adversarial nets M Liu, Y Mroueh, J Ross, W Zhang, X Cui, P Das, T Yang arXiv preprint arXiv:1912.11940, 2019 | 53 | 2019 |
| A decentralized parallel algorithm for training generative adversarial nets M Liu, W Zhang, Y Mroueh, X Cui, J Ross, T Yang, P Das Advances in Neural Information Processing Systems 33, 11056-11070, 2020 | 46 | 2020 |
| Implicit kernel learning CL Li, WC Chang, Y Mroueh, Y Yang, B Poczos The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 45 | 2019 |
| Learning with Group Invariant Features: A Kernel Perspective Y Mroueh, S Voinea, T Poggio NIPS 2015 arXiv preprint arXiv:1506.02544, 2015 | 40 | 2015 |
| Active learning of deep surrogates for PDEs: application to metasurface design R Pestourie, Y Mroueh, TV Nguyen, P Das, SG Johnson npj Computational Materials 6 (1), 164, 2020 | 38 | 2020 |
| 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 | 37 | 2021 |
| Wasserstein style transfer Y Mroueh arXiv preprint arXiv:1905.12828, 2019 | 37 | 2019 |
| 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 | 36* | 2019 |
| Local group invariant representations via orbit embeddings A Raj, A Kumar, Y Mroueh, T Fletcher, B Schölkopf Artificial Intelligence and Statistics, 1225-1235, 2017 | 35 | 2017 |
| Local Group Invariant Representations via Orbit Embeddings A Raj, A Kumar, Y Mroueh, PT Fletcher, B Schölkopf AISTATS 2017 arXiv preprint arXiv:1612.01988, 2016 | 35 | 2016 |
| Sobolev descent Y Mroueh, T Sercu, A Raj The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 34 | 2019 |
| Audio and visual modality combination in speech processing applications G Potamianos, E Marcheret, Y Mroueh, V Goel, A Koumbaroulis, ... The Handbook of Multimodal-Multisensor Interfaces: Foundations, User …, 2017 | 27 | 2017 |
Vaibhava GoelIBMVerified email at us.ibm.com
