| Self-critical Sequence Training for Image Captioning SJ Rennie, E Marcheret, Y Mroueh, J Ross, V Goel CVPR 2017, 2016 | 2305 | 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 | 283 | 2015 |
| Fisher GAN Y Mroueh, T Sercu arXiv preprint arXiv:1705.09675, NIPS 2017, 2017 | 187 | 2017 |
| McGan: Mean and Covariance Feature Matching GAN Y Mroueh, T Sercu, V Goel arXiv preprint arXiv:1702.08398, ICML 2017, 2017 | 170 | 2017 |
| Large-scale chemical language representations capture molecular structure and properties J Ross, B Belgodere, V Chenthamarakshan, I Padhi, Y Mroueh, P Das Nature Machine Intelligence 4 (12), 1256-1264, 2022 | 144 | 2022 |
| Sobolev gan Y Mroueh, CL Li, T Sercu, A Raj, Y Cheng arXiv preprint arXiv:1711.04894, 2017 | 140 | 2017 |
| Fair mixup: Fairness via interpolation CY Chuang, Y Mroueh arXiv preprint arXiv:2103.06503, 2021 | 127 | 2021 |
| Convex Learning of Multiple Tasks and their Structure C Ciliberto, Y Mroueh, tomaso Poggio, L Rosasco ICML 2015, 2015 | 88 | 2015 |
| 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 | 79 | 2021 |
| 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 | 72 | 2019 |
| Generative modeling with denoising auto-encoders and Langevin sampling A Block, Y Mroueh, A Rakhlin arXiv preprint arXiv:2002.00107, 2020 | 71 | 2020 |
| 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 | 70 | 2020 |
| Multiclass learning with simplex coding Y Mroueh, T Poggio, L Rosasco, JJ Slotine Advances in Neural Information Processing Systems 25, 2012 | 66 | 2012 |
| 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 | 57 | 2020 |
| Wasserstein style transfer Y Mroueh arXiv preprint arXiv:1905.12828, 2019 | 49 | 2019 |
| Implicit kernel learning CL Li, WC Chang, Y Mroueh, Y Yang, B Poczos The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 49 | 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 | 47* | 2019 |
| Learning with Group Invariant Features: A Kernel Perspective Y Mroueh, S Voinea, T Poggio NIPS 2015 arXiv preprint arXiv:1506.02544, 2015 | 46 | 2015 |
| 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 | 43 | 2022 |
| Optimizing functionals on the space of probabilities with input convex neural networks D Alvarez-Melis, Y Schiff, Y Mroueh arXiv preprint arXiv:2106.00774, 2021 | 42 | 2021 |
Vaibhava GoelIBM在 us.ibm.com 的电子邮件经过验证
