| Understanding overparameterization in generative adversarial networks Y Balaji, M Sajedi, NM Kalibhat, M Ding, D Stöger, M Soltanolkotabi, ... arXiv preprint arXiv:2104.05605, 2021 | 29 | 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 | 26 | 2021 |
| Measuring Self-Supervised Representation Quality for Downstream Classification using Discriminative Features N Kalibhat, K Narang, H Firooz, M Sanjabi, S Feizi arXiv preprint arXiv:2203.01881, 2022 | 12* | 2022 |
| 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 |
| 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 | 1 | 2023 |
| 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 | | 2021 |
| DeepPUNs: Deep Positive Unlabeled Networks G Somepalli, N Kalibhat, P Kumar | | |
Soheil FeiziUniversity of Maryland, College ParkVerified email at cs.umd.edu
