| Understanding overparameterization in generative adversarial networks Y Balaji, M Sajedi, NM Kalibhat, M Ding, D Stöger, M Soltanolkotabi, ... arXiv preprint arXiv:2104.05605, 2021 | 34 | 2021 |
| Winning lottery tickets in deep generative models NM Kalibhat, Y Balaji, S Feizi Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 8038-8046, 2021 | 33 | 2021 |
| Measuring self-supervised representation quality for downstream classification using discriminative features N Kalibhat, K Narang, H Firooz, M Sanjabi, S Feizi Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13031 …, 2024 | 17* | 2024 |
| Identifying interpretable subspaces in image representations N Kalibhat, S Bhardwaj, CB Bruss, H Firooz, M Sanjabi, S Feizi International Conference on Machine Learning, 15623-15638, 2023 | 11 | 2023 |
| Software troubleshooting using machine learning NM Kalibhat, S Varshini, C Kollengode, D Sitaram, S Kalambur 2017 IEEE 24th International Conference on High Performance Computing …, 2017 | 6 | 2017 |
| Augmentations vs algorithms: What works in self-supervised learning W Morningstar, A Bijamov, C Duvarney, L Friedman, N Kalibhat, L Liu, ... arXiv preprint arXiv:2403.05726, 2024 | 2 | 2024 |
| Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations N Kalibhat, W Morningstar, A Bijamov, L Liu, K Singhal, P Mansfield arXiv preprint arXiv:2312.02205, 2023 | 1 | 2023 |
| Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning N Kalibhat, P Kattakinda, A Zarei, N Seleznev, S Sharpe, S Kumar, S Feizi arXiv preprint arXiv:2405.16401, 2024 | | 2024 |
| Adapting Self-Supervised Representations to Multi-Domain Setups N Kalibhat, S Sharpe, J Goodsitt, B Bruss, S Feizi arXiv preprint arXiv:2309.03999, 2023 | | 2023 |
| Multi-Domain Self-Supervised Learning NM Kalibhat, Y Balaji, CB Bruss, S Feizi | | |
| DeepPUNs: Deep Positive Unlabeled Networks G Somepalli, N Kalibhat, P Kumar | | |
Soheil FeiziUniversity of Maryland, College Park在 cs.umd.edu 的电子邮件经过验证
