| DeepSentiPeer: Harnessing sentiment in review texts to recommend peer review decisions T Ghosal, R Verma, A Ekbal, P Bhattacharyya Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 64 | 2019 |
| Calibrated learning to defer with one-vs-all classifiers R Verma, E Nalisnick International Conference on Machine Learning, 22184-22202, 2022 | 43 | 2022 |
| Learning to defer to multiple experts: Consistent surrogate losses, confidence calibration, and conformal ensembles R Verma, D Barrejón, E Nalisnick International Conference on Artificial Intelligence and Statistics, 11415-11434, 2023 | 26 | 2023 |
| A sentiment augmented deep architecture to predict peer review outcomes T Ghosal, R Verma, A Ekbal, P Bhattacharyya 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 414-415, 2019 | 14 | 2019 |
| Investigating impact features in editorial pre-screening of research papers T Ghosal, R Verma, A Ekbal, S Saha, P Bhattacharyya Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries …, 2018 | 14 | 2018 |
| The lack of theory is painful: Modeling harshness in peer review comments R Verma, R Roychoudhury, T Ghosal Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the …, 2022 | 6 | 2022 |
| Attend to Your Review: A Deep Neural Network to Extract Aspects from Peer Reviews R Verma, K Shinde, H Arora, T Ghosal Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021 | 6 | 2021 |
| An AI aid to the editors. Exploring the possibility of an AI assisted article classification system T Ghosal, R Verma, A Ekbal, S Saha, P Bhattacharyya arXiv preprint arXiv:1802.01403, 2018 | 4 | 2018 |
| On the Calibration of Learning to Defer to Multiple Experts R Verma, D Barrejón, E Nalisnick | 3 | 2022 |
| An empirical study of importance of different sections in research articles towards ascertaining their appropriateness to a journal T Ghosal, R Verma, A Ekbal, S Saha, P Bhattacharyya Digital Libraries at Times of Massive Societal Transition: 22nd …, 2020 | 3 | 2020 |
| Learning to Defer to a Population: A Meta-Learning Approach D Tailor, A Patra, R Verma, P Manggala, E Nalisnick International Conference on Artificial Intelligence and Statistics, 3475-3483, 2024 | 2 | 2024 |
| Knowledge Graph Representation Learning Based Drug Informatics R Verma, P Kumar 2019 IEEE International Conference on Electronics, Computing and …, 2019 | 2 | 2019 |
| ReviVal: Towards Automatically Evaluating the Informativeness of Peer Reviews R Verma, T Ghosal, S Bhattacharjee, A Ekbal, P Bhattacharyya Proceedings of the Annual International ACM SIGIR Conference on Research and …, 2023 | 1 | 2023 |
| On the calibration of learning to defer systems R Verma Master’s thesis, University of Amsterdam, 2022. Cited on pages: 55, 2022 | 1 | 2022 |
| On the Calibration of Conditional-Value-at-Risk R Verma, V Fischer, E Nalisnick ICML 2024 Next Generation of AI Safety Workshop, 2024 | | 2024 |
| Explaining Low Dimensional Representation, a reproduction R Verma, J Wagemans, P Dahal, A Elfrink ML Reproducibility Challenge 2020, 0 | | |
