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Nikhil Mehta
Nikhil Mehta
Google DeepMind
Bestätigte E-Mail-Adresse bei duke.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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, 10299-10315, 2023
123*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
113*2023
Stochastic blockmodels meet graph neural networks
N Mehta, L Carin, P Rai
International Conference on Machine Learning (ICML), 2019
992019
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
802021
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
762021
Survival cluster analysis
P Chapfuwa, C Li, N Mehta, L Carin, R Henao
ACM Conference on Health, Inference, and Learning (CHIL), 2020
492020
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
41*2021
Graph Representation Learning via Ladder Gamma Variational Autoencoders
A Sarkar, N Mehta, P Rai
Association for the Advancement of Artificial Intelligence (AAAI), 2020
322020
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
172022
Better generalization with semantic ids: A case study in ranking for recommendations
A Singh, T Vu, N Mehta, R Keshavan, M Sathiamoorthy, Y Zheng, L Hong, ...
Proceedings of the 18th ACM Conference on Recommender Systems, 1039-1044, 2024
14*2024
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning
V Verma, N Mehta, KJ Liang, A Mishra, L Carin
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
12*2024
Aligning Large Language Models with Recommendation Knowledge
Y Cao, N Mehta, X Yi, R Keshavan, L Heldt, L Hong, EH Chi, ...
Findings of the Association for Computational Linguistics: NAACL 2024, 1051–1066, 2024
72024
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
Pushing the efficiency limit using structured sparse convolutions
VK Verma, N Mehta, S Si, R Henao, L Carin
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
32023
System and method for federated learning using weight anonymized factorization
M El-Khamy, J Lee, HAO Weituo, L Carin, N Mehta, KJ Liang
US Patent App. 17/148,557, 2021
32021
HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings
N Mehta, KJ Liang, J Huang, FJ Chu, L Yin, T Hassner
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
22024
Density Weighting for Multi-Interest Personalized Recommendation
N Mehta, A Singh, X Yi, S Jain, L Hong, EH Chi
arXiv preprint arXiv:2308.01563, 2023
22023
Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation
B Lai, F Juefei-Xu, M Liu, X Dai, N Mehta, C Zhu, Z Huang, JM Rehg, ...
arXiv preprint arXiv:2412.01027, 2024
2024
STAR: A Simple Training-free Approach for Recommendations using Large Language Models
DH Lee, A Kraft, L Jin, N Mehta, T Xu, L Hong, EH Chi, X Yi
arXiv preprint arXiv:2410.16458, 2024
2024
Revolutionizing Investment Strategies: Algorithmic Approaches for Indian Financial Markets
S Mehta, A Patankar, S Bhatnagar, N Mehta, A Singh
2024 15th International Conference on Computing Communication and Networking …, 2024
2024
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