| Observational supervision for medical image classification using gaze data K Saab, SM Hooper, NS Sohoni, J Parmar, B Pogatchnik, S Wu, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 29 | 2021 |
| Nemotron-4 15B Technical Report J Parmar, S Prabhumoye, J Jennings, M Patwary, S Subramanian, D Su, ... arXiv preprint arXiv:2402.16819, 2024 | 16* | 2024 |
| Biomedical information extraction for disease gene prioritization J Parmar, W Koehler, M Bringmann, KS Volz, B Kapicioglu arXiv preprint arXiv:2011.05188, 2020 | 6 | 2020 |
| Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language Models J Parmar, S Satheesh, M Patwary, M Shoeybi, B Catanzaro arXiv preprint arXiv:2407.07263, 2024 | 4 | 2024 |
| Nemotron-4 340B Technical Report B Adler, N Agarwal, A Aithal, DH Anh, P Bhattacharya, A Brundyn, ... arXiv preprint arXiv:2406.11704, 2024 | 4 | 2024 |
| Data, Data Everywhere: A Guide for Pretraining Dataset Construction J Parmar, S Prabhumoye, J Jennings, B Liu, A Jhunjhunwala, Z Wang, ... arXiv preprint arXiv:2407.06380, 2024 | | 2024 |
| The Importance of Background Information for Out of Distribution Generalization J Parmar, K Saab, B Pogatchnik, D Rubin, C Ré arXiv preprint arXiv:2206.08794, 2022 | | 2022 |
| A formulation of a matrix sparsity approach for the quantum ordered search algorithm J Parmar, S Rahman, J Thiara International Journal of Quantum Information 15 (02), 1750013, 2017 | | 2017 |
