| Collective annotation of wikipedia entities in web text S Kulkarni, A Singh, G Ramakrishnan, S Chakrabarti Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 624 | 2009 |
| Grad-match: Gradient matching based data subset selection for efficient deep model training K Killamsetty, S Durga, G Ramakrishnan, A De, R Iyer International Conference on Machine Learning, 5464-5474, 2021 | 243 | 2021 |
| Glister: Generalization based data subset selection for efficient and robust learning K Killamsetty, D Sivasubramanian, G Ramakrishnan, R Iyer Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 8110-8118, 2021 | 229 | 2021 |
| When do neural nets outperform boosted trees on tabular data? D McElfresh, S Khandagale, J Valverde, V Prasad C, G Ramakrishnan, ... Advances in Neural Information Processing Systems 36, 76336-76369, 2023 | 145 | 2023 |
| Is question answering an acquired skill? G Ramakrishnan, S Chakrabarti, D Paranjpe, P Bhattacharya Proceedings of the 13th international conference on World Wide Web, 111-120, 2004 | 112 | 2004 |
| Putting the Horse before the Cart: A Generator-Evaluator Framework for Question Generation from Text V Kumar, G Ramakrishnan, YF Li Proceedings of the 23rd Conference on Computational Natural Language …, 2019 | 92* | 2019 |
| Question answering via Bayesian inference on lexical relations G Ramakrishnan, A Jadhav, A Joshi, S Chakrabarti, P Bhattacharyya Proceedings of the ACL 2003 workshop on Multilingual summarization and …, 2003 | 77 | 2003 |
| Difficulty-controllable multi-hop question generation from knowledge graphs V Kumar, Y Hua, G Ramakrishnan, G Qi, L Gao, YF Li The Semantic Web–ISWC 2019: 18th International Semantic Web Conference …, 2019 | 76 | 2019 |
| Learning from less data: A unified data subset selection and active learning framework for computer vision V Kaushal, R Iyer, S Kothawade, R Mahadev, K Doctor, G Ramakrishnan 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1289-1299, 2019 | 73 | 2019 |
| Multi-person 3d human pose estimation from monocular images R Dabral, NB Gundavarapu, R Mitra, A Sharma, G Ramakrishnan, A Jain 2019 international conference on 3D vision (3DV), 405-414, 2019 | 72 | 2019 |
| Numerical relation extraction with minimal supervision A Madaan, A Mittal, G Ramakrishnan, S Sarawagi Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 72 | 2016 |
| Entity Annotation based on Inverse Index Operations G Ramakrishnan, SV Balakrishnan, S Joshi EMNLP 2006, Proceedings of the 2006 Conference on Empirical Methods in …, 2006 | 71* | 2006 |
| Cross-lingual training for automatic question generation V Kumar, N Joshi, A Mukherjee, G Ramakrishnan, P Jyothi Proceedings of the 57th Conference of the Association for Computational …, 2019 | 69 | 2019 |
| Automating reading comprehension by generating question and answer pairs V Kumar, K Boorla, Y Meena, G Ramakrishnan, YF Li Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018 | 59 | 2018 |
| Neural architecture for question answering using a knowledge graph and web corpus U Sawant, S Garg, S Chakrabarti, G Ramakrishnan Information Retrieval Journal 22, 324-349, 2019 | 54 | 2019 |
| Summarization of multi-document topic hierarchies using submodular mixtures R Bairi, R Iyer, G Ramakrishnan, J Bilmes Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 52 | 2015 |
| Generic Text Summarization Using WordNet. K Bellare, AD Sarma, AD Sarma, N Loiwal, V Mehta, G Ramakrishnan, ... LREC, 2004 | 50 | 2004 |
| Soft word sense disambiguation G Ramakrishnan, BP Prithviraj, A Deepa, P Bhattacharyya, S Chakrabarti Proceedings of GWC 4, 2004 | 48 | 2004 |
| Prism: A rich class of parameterized submodular information measures for guided data subset selection S Kothawade, V Kaushal, G Ramakrishnan, J Bilmes, R Iyer Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 10238 …, 2022 | 44 | 2022 |
| Putting the Horse before the Cart: A Generator-Evaluator Framework for Question Generation from Text V Kumar, G Ramakrishnan, YF Li Proceedings of the 23rd Conference on Computational Natural Language …, 2019 | 41 | 2019 |
