Stochastic blockmodels meet graph neural networks N Mehta, L Carin, P Rai International Conference on Machine Learning (ICML), 2019 | 95 | 2019 |
Do llms understand user preferences? evaluating llms on user rating prediction WC Kang, J Ni, N Mehta, M Sathiamoorthy, L Hong, E Chi, DZ Cheng arXiv preprint arXiv:2305.06474, 2023 | 67 | 2023 |
Efficient feature transformations for discriminative and generative continual learning VK Verma, KJ Liang, N Mehta, P Rai, L Carin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 67 | 2021 |
Counterfactual representation learning with balancing weights S Assaad, S Zeng, C Tao, S Datta, N Mehta, R Henao, F Li, L Carin International Conference on Artificial Intelligence and Statistics, 1972-1980, 2021 | 65 | 2021 |
Recommender systems with generative retrieval S Rajput, N Mehta, A Singh, R Hulikal Keshavan, T Vu, L Heldt, L Hong, ... Advances in Neural Information Processing Systems 36, 2024 | 56 | 2024 |
Survival cluster analysis P Chapfuwa, C Li, N Mehta, L Carin, R Henao ACM Conference on Health, Inference, and Learning (CHIL), 2020 | 43 | 2020 |
Tackling fake news detection by continually improving social context representations using graph neural networks N Mehta, ML Pacheco, D Goldwasser Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 37 | 2022 |
Continual learning using a bayesian nonparametric dictionary of weight factors N Mehta, K Liang, VK Verma, L Carin International Conference on Artificial Intelligence and Statistics, 100-108, 2021 | 35* | 2021 |
Graph Representation Learning via Ladder Gamma Variational Autoencoders A Sarkar, N Mehta, P Rai Association for the Advancement of Artificial Intelligence (AAAI), 2020 | 30 | 2020 |
Waffle: Weight anonymized factorization for federated learning W Hao, N Mehta, KJ Liang, P Cheng, M El-Khamy, L Carin IEEE Access 10, 49207-49218, 2022 | 16 | 2022 |
A two-step machine learning approach for crop disease detection using GAN and UAV technology A Prasad, N Mehta, M Horak, WD Bae Remote Sensing 14 (19), 4765, 2022 | 15 | 2022 |
Improving grounded language understanding in a collaborative environment by interacting with agents through help feedback N Mehta, M Teruel, PF Sanz, X Deng, AH Awadallah, J Kiseleva arXiv preprint arXiv:2304.10750, 2023 | 14 | 2023 |
Do LLMs understand user preferences WC Kang, J Ni, N Mehta, M Sathiamoorthy, L Hong, E Chi, DZ Cheng Evaluating LLMs On User Rating Prediction. CoRR abs/2305.06474, 2023 | 8 | 2023 |
Deep topic models for multi-label learning R Panda, A Pensia, N Mehta, M Zhou, P Rai The 22nd International Conference on AISTATS, 2849-2857, 2019 | 7 | 2019 |
Evaluation of antioxidant and anticancer potential of Sesbania aculeata-a multipurpose legume crop. N Mehta, P Rao, R Saini Annals: Food Science & Technology 20 (1), 2019 | 7 | 2019 |
Chi, and Derek Zhiyuan Cheng. Do llms understand user preferences? evaluating llms on user rating prediction WC Kang, J Ni, N Mehta, M Sathiamoorthy, L Hong arXiv preprint arXiv:2305.06474, 2023 | 6 | 2023 |
Meta-learned attribute self-gating for continual generalized zero-shot learning VK Verma, K Liang, N Mehta, L Carin arXiv preprint arXiv:2102.11856, 2021 | 6 | 2021 |
H. Chi, and Maheswaran Sathiamoorthy. 2023. Recommender systems with generative retrieval S Rajput, N Mehta, A Singh, RH Keshavan, T Vu, L Heldt, L Hong, Y Tay, ... arXiv preprint arXiv:2305.05065, 0 | 6 | |
Exploration of the antibacterial, antioxidant and anticancer potential of the seed coat extract of mungbean (Vigna radiata L. Wilczek). N Mehta, P Rao, R Saini Plant Archives (09725210) 21 (1), 2021 | 4 | 2021 |
EXPLORATION OF MEDICINAL PROPERTIES OF Macrotyloma uniflorum-AN IMPORTANT GRAIN LEGUME CROP PLANT. P RAO, N MEHTA, R SAINI Annals of Oradea University, Biology Fascicle/Analele Universităţii din …, 2019 | 4 | 2019 |