| 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 | 84 | 2019 |
| 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 | 24 | 2022 |
| 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 | 22 | 2022 |
| Positive unlabeled contrastive learning A Acharya, S Sanghavi, L Jing, B Bhushanam, D Choudhary, M Rabbat, ... arXiv preprint arXiv:2206.01206, 2022 | 11 | 2022 |
| Understanding scaling laws for recommendation models N Ardalani, CJ Wu, Z Chen, B Bhushanam, A Aziz arXiv preprint arXiv:2208.08489, 2022 | 10 | 2022 |
| 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 | 7 | 2021 |
| 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, 2023 | 5 | 2023 |
| 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 | 5 | 2022 |
| 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 | 4 | 2019 |
| 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 | 3 | 2021 |
| 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 | 2 | 2022 |
| 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 | |
| Harmless transfer learning for item embeddings C Gong, X Du NAACL 2022, 2022 | 1 | 2022 |
| 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 | | 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 |
Arun KejariwalFacebook Inc.Verified email at acm.org
