| Multi-task learning with user preferences: Gradient descent with controlled ascent in pareto optimization D Mahapatra, V Rajan International Conference on Machine Learning, 6597-6607, 2020 | 205 | 2020 |
| Multi-label learning to rank through multi-objective optimization D Mahapatra, C Dong, Y Chen, M Momma Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 27 | 2023 |
| VideoKen: Automatic Video Summarization and Course Curation to Support Learning D Mahapatra, R Mariappan, V Rajan, K Yadav, S Roy Companion of the The Web Conference 2018 on The Web Conference 2018, 239-242, 2018 | 24 | 2018 |
| Exact pareto optimal search for multi-task learning: Touring the pareto front D Mahapatra, V Rajan arXiv preprint arXiv:2108.00597 2, 2021 | 19 | 2021 |
| Automatic Hierarchical Table of Contents Generation for Educational Videos D Mahapatra, R Mariappan, V Rajan Companion of the The Web Conference 2018 on The Web Conference 2018, 267-274, 2018 | 17 | 2018 |
| Deep sparse coding using optimized linear expansion of thresholds D Mahapatra, S Mukherjee, CS Seelamantula arXiv preprint arXiv:1705.07290, 2017 | 17 | 2017 |
| Cache-craft: Managing chunk-caches for efficient retrieval-augmented generation S Agarwal, S Sundaresan, S Mitra, D Mahapatra, A Gupta, R Sharma, ... Proceedings of the ACM on Management of Data 3 (3), 1-28, 2025 | 15 | 2025 |
| Querywise fair learning to rank through multi-objective optimization D Mahapatra, C Dong, M Momma Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 13 | 2023 |
| Exact Pareto optimal search for multi-task learning and multi-criteria decision-making D Mahapatra, V Rajan arXiv preprint arXiv:2108.00597, 2021 | 6 | 2021 |
| DNNs for sparse coding and dictionary learning S Mukherjee, D Mahapatra, CS Seelamantula NIPS Bayesian Deep Learning Workshop, 2017 | 6 | 2017 |
| Exact pareto optimal search for multi-task learning: touring the pareto front.(2021) D Mahapatra, V Rajan arXiv preprint arXiv:2108.00597, 2021 | 5 | 2021 |
| RCStat: A Statistical Framework for using Relative Contextualization in Transformers D Mahapatra, S Agarwal, A Saxena, S Mitra arXiv preprint arXiv:2506.19549, 2025 | | 2025 |
| A multi-task domain-adapted model to predict chemotherapy response from mutations in recurrently altered cancer genes A Jayagopal, RJ Walsh, KK Hariprasannan, R Mariappan, D Mahapatra, ... iScience 28 (3), 2025 | | 2025 |
| Circular Coordinate embedding for time-series data D Mahapatra | | |
Vaibhav RajanResearch Scientist, Google DeepMindVerified email at google.com
