| Learning to few-shot learn across diverse natural language classification tasks T Bansal, R Jha, A McCallum Proceedings of the 28th International Conference on Computational Linguistics, 2019 | 110 | 2019 |
| Self-supervised meta-learning for few-shot natural language classification tasks T Bansal, R Jha, T Munkhdalai, A McCallum Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 88 | 2020 |
| Emission-aware energy storage scheduling for a greener grid R Jha, S Lee, S Iyengar, MH Hajiesmaili, D Irwin, P Shenoy Proceedings of the Eleventh ACM International Conference on Future Energy …, 2020 | 13 | 2020 |
| Unified Embedding Based Personalized Retrieval in Etsy Search R Jha, S Subramaniyam, E Benjamin, T Taula arXiv preprint arXiv:2306.04833, 2023 | 3 | 2023 |
| Cache Miss Rate Predictability via Neural Networks R Jha, A Karuvally, S Tiwari, JEB Moss Neurips Workshop: ML for Systems, 2018 | | 2018 |
| Energy Storage in Time Saves Nine: A Case for a Greener Smart Grid RJSIP Shenoy | | |
