| Use of deep learning to examine the association of the built environment with prevalence of neighborhood adult obesity A Maharana, EO Nsoesie JAMA network open 1 (4), e181535-e181535, 2018 | 116 | 2018 |
| SWIFT-Active Screener: Accelerated document screening through active learning and integrated recall estimation BE Howard, J Phillips, A Tandon, A Maharana, R Elmore, D Mav, ... Environment International 138, 105623, 2020 | 105 | 2020 |
| StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation A Maharana, D Hannan, M Bansal European Conference on Computer Vision, 70-87, 2022 | 48 | 2022 |
| Social media as a sentinel for disease surveillance: what does sociodemographic status have to do with it? EO Nsoesie, L Flor, J Hawkins, A Maharana, T Skotnes, F Marinho, ... PLoS currents 8, 2016 | 48* | 2016 |
| Improving generation and evaluation of visual stories via semantic consistency A Maharana, D Hannan, M Bansal arXiv preprint arXiv:2105.10026, 2021 | 46 | 2021 |
| Integrating visuospatial, linguistic and commonsense structure into story visualization A Maharana, M Bansal arXiv preprint arXiv:2110.10834, 2021 | 44 | 2021 |
| COVID-19 and beyond: Use of digital technology for pandemic response in Africa A Maharana, M Amutorine, MD Sengeh, EO Nsoesie Scientific African 14, e01041, 2021 | 31* | 2021 |
| Detecting reports of unsafe foods in consumer product reviews A Maharana, K Cai, J Hellerstein, Y Hswen, M Munsell, V Staneva, ... JAMIA open 2 (3), 330-338, 2019 | 31 | 2019 |
| Disparities in digital reporting of illness: a demographic and socioeconomic assessment S Henly, G Tuli, SA Kluberg, JB Hawkins, QC Nguyen, A Anema, ... Preventive medicine 101, 18-22, 2017 | 18 | 2017 |
| Mapping disparities in homicide trends across Brazil: 2000–2014 EO Nsoesie, AS Lima Neto, J Jay, H Wang, K Zinszer, S Saha, ... Injury epidemiology 7, 1-11, 2020 | 16 | 2020 |
| Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning A Maharana, P Yadav, M Bansal The Twelfth International Conference on Learning Representations, 2024 | 14* | 2024 |
| On curriculum learning for commonsense reasoning A Maharana, M Bansal Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 14 | 2022 |
| Adversarial augmentation policy search for domain and cross-lingual generalization in reading comprehension A Maharana, M Bansal arXiv preprint arXiv:2004.06076, 2020 | 13 | 2020 |
| Analysis of tree-structured architectures for code generation S Dahal, A Maharana, M Bansal Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 11 | 2021 |
| Evaluating very long-term conversational memory of llm agents A Maharana, DH Lee, S Tulyakov, M Bansal, F Barbieri, Y Fang arXiv preprint arXiv:2402.17753, 2024 | 9 | 2024 |
| Deep learning image analysis of high-throughput toxicology assay images A Tandon, B Howard, S Ramaiahgari, A Maharana, S Ferguson, R Shah, ... SLAS Discovery 27 (1), 29-38, 2022 | 9 | 2022 |
| Multimodal intent discovery from livestream videos A Maharana, QH Tran, F Dernoncourt, S Yoon, T Bui, W Chang, M Bansal Findings of the Association for Computational Linguistics: NAACL 2022, 476-489, 2022 | 8 | 2022 |
| Quantifying the impact of the built environment on neighborhood crime rates A Maharana, QC Nguyen, EO Nsoesie International Conference on Machine Learning Workshop on AI for Social Good, 2019 | 7* | 2019 |
| Use of deep learning to examine the association of the built environment with prevalence of neighborhood adult obesity. JAMA network open, 1 (4), e181535-e181535 A Maharana, EO Nsoesie | 5 | 2018 |
| Scotch: A semantic code search engine for IDEs S Dahal, A Maharana, M Bansal Deep Learning for Code Workshop, 2022 | 4 | 2022 |
