| A study of the generalizability of self-supervised representations A Tendle, MR Hasan Machine Learning with Applications 6, 100124, 2021 | 20 | 2021 |
| Multimodal Modular Meta-Learning H Sikka, AA Tendle, A Kayid OSF Preprints, 2020 | 3 | 2020 |
| Investigating learning in deep neural networks using layer-wise weight change AM Agrawal, A Tendle, H Sikka, S Singh, A Kayid Intelligent Computing: Proceedings of the 2021 Computing Conference, Volume …, 2021 | 2 | 2021 |
| Self-Supervised Learning in the Twilight of Noisy Real-World Datasets A Tendle, A Little, S Scott, MR Hasan 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 1 | 2022 |
| Deep Learning Methods for Urban Analysis and Health Estimation of Obesity D Newton, D Piatkowski, W Marshall, AA Tendle Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication …, 2020 | 1 | 2020 |
| Leveraging Contextual Information for Effective Entity Salience Detection R Bhowmik, M Ponza, A Tendle, A Gupta, R Jiang, X Lu, Q Zhao, ... arXiv preprint arXiv:2309.07990, 2023 | | 2023 |
| WeightScale: Interpreting Weight Change in Neural Networks AM Agrawal, A Tendle, H Sikka, S Singh arXiv preprint arXiv:2107.07005, 2021 | | 2021 |
| “The Revolution Will Not Be Supervised": An Investigation of the Efficacy and Reasoning Process of Self-Supervised Representations A Tendle | | 2021 |
Mohammad HasanUniversity of Nebraska-LincolnEmail verificata su unl.edu
