Rajeev Verma
Rajeev Verma
PhD Student, University of Amsterdam
Потвърден имейл адрес: iitp.ac.in - Начална страница
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
Calibrated learning to defer with one-vs-all classifiers
R Verma, E Nalisnick
International Conference on Machine Learning, 22184-22202, 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
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
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
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
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
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
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
Knowledge Graph Representation Learning Based Drug Informatics
R Verma, P Kumar
2019 IEEE International Conference on Electronics, Computing and …, 2019
Learning to Defer to a Population: A Meta-Learning Approach
D Tailor, A Patra, R Verma, P Manggala, E Nalisnick
arXiv preprint arXiv:2403.02683, 2024
On the calibration of learning to defer systems
R Verma
Master’s thesis, University of Amsterdam, 2022. Cited on pages: 55, 2022
On the Calibration of Learning to Defer to Multiple Experts
R Verma, D Barrejón, E Nalisnick
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
[Re] Explaining Groups of Points in Low-Dimensional Representations
A Verma, Rajeev and Wagemans, Jim J. O. and Dahal, Paras and Elfrink
ReScience C 7 (2), #24, 2021
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