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Nikhil Mehta
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Stochastic blockmodels meet graph neural networks
N Mehta, L Carin, P Rai
International Conference on Machine Learning (ICML), 2019
902019
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
622021
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
572021
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
552023
Survival cluster analysis
P Chapfuwa, C Li, N Mehta, L Carin, R Henao
ACM Conference on Health, Inference, and Learning (CHIL), 2020
382020
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
32*2021
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
312022
Graph Representation Learning via Ladder Gamma Variational Autoencoders
A Sarkar, N Mehta, P Rai
Association for the Advancement of Artificial Intelligence (AAAI), 2020
272020
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
242024
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
142022
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
122023
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
122022
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
72019
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
72019
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
52023
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
52023
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
52021
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
32021
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
32019
Stent retrieval devices and time prove beneficial in large vessel occlusions: a synopsis of four recent studies for mechanical retrieval and revascularization
N Mehta, D Watkins
Journal of Neuroscience Nursing 47 (5), 296-299, 2015
32015
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Artikelen 1–20