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Bhargav Bhushanam
Bhargav Bhushanam
ML Researcher at Meta
Verified email at meta.com
Title
Cited by
Cited by
Year
System and method for assessing publisher quality
B Bhushanam, H Wang, D Gelman, A Kejariwal, J Koh, V Girotra, ...
US Patent App. 16/059,391, 2019
922019
Dreamshard: Generalizable embedding table placement for recommender systems
D Zha, L Feng, Q Tan, Z Liu, KH Lai, B Bhushanam, Y Tian, A Kejariwal, ...
Advances in Neural Information Processing Systems 35, 15190-15203, 2022
352022
Autoshard: Automated embedding table sharding for recommender systems
D Zha, L Feng, B Bhushanam, D Choudhary, J Nie, Y Tian, J Chae, Y Ma, ...
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
332022
Understanding scaling laws for recommendation models
N Ardalani, CJ Wu, Z Chen, B Bhushanam, A Aziz
arXiv preprint arXiv:2208.08489, 2022
192022
Positive unlabeled contrastive learning
A Acharya, S Sanghavi, L Jing, B Bhushanam, D Choudhary, M Rabbat, ...
arXiv preprint arXiv:2206.01206, 2022
132022
Pre-train and search: Efficient embedding table sharding with pre-trained neural cost models
D Zha, L Feng, L Luo, B Bhushanam, Z Liu, Y Hu, J Nie, Y Huang, Y Tian, ...
Proceedings of Machine Learning and Systems 5, 68-88, 2023
102023
Alternate model growth and pruning for efficient training of recommendation systems
X Du, B Bhushanam, J Yu, D Choudhary, T Gao, S Wong, L Feng, J Park, ...
2021 20th IEEE International Conference on Machine Learning and Applications …, 2021
82021
Temporal anomaly detection system and method
H Wang, B Bhushanam, A Kejariwal, J Koh, M Holland, I Upadhyaya, ...
US Patent App. 16/032,402, 2019
82019
Future gradient descent for adapting the temporal shifting data distribution in online recommendation systems
M Ye, R Jiang, H Wang, D Choudhary, X Du, B Bhushanam, A Mokhtari, ...
Uncertainty in Artificial Intelligence, 2256-2266, 2022
52022
Frequency-aware sgd for efficient embedding learning with provable benefits
Y Li, D Choudhary, X Wei, B Yuan, B Bhushanam, T Zhao, G Lan
arXiv preprint arXiv:2110.04844, 2021
42021
Harmless transfer learning for item embeddings
C Gong, X Du
NAACL 2022, 2022
22022
qiang liu. Future gradient descent for adapting the temporal shifting data distribution in online recommendation system
M Ye, R Jiang, H Wang, D Choudhary, X Du, B Bhushanam, A Mokhtari, ...
The 38th Conference on Uncertainty in Artificial Intelligence, 2022
22022
Pretrain and search: Efficient embedding table sharding with pre-trained neural cost models. CoRR, abs/2305.01868, 2023. doi: 10.48550
D Zha, L Feng, L Luo, B Bhushanam, Z Liu, Y Hu, J Nie, Y Huang, Y Tian, ...
arXiv preprint arXiv.2305.01868, 0
2
Layer Compression of Deep Networks with Straight Flows
C Gong, X Du, B Bhushanam, L Wu, X Liu, D Choudhary, A Kejariwal, ...
Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12181 …, 2024
12024
MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced With Reliable Evaluations
S Zhong, Y Lu, L Shao, B Bhushanam, X Du, L Feng, Y Wan, Y Shi, D Zha, ...
2024
Graph-based Feature-Serving for Privacy-Aware Machine Learning
https://www.tdcommons.org/dpubs_series/4890, 2022
2022
System and method for managing content presentations
H Wang, H Zhao, B Bhushanam, I Upadhyaya, OS Vallis, A Kejariwal, ...
US Patent App. 16/386,485, 2019
2019
System and method for inferring anonymized publishers
B Bhushanam, H Wang, D Gelman, I Upadhyaya, J Koh
US Patent App. 16/180,261, 2019
2019
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