Bhargav Bhushanam

Most-cited papers

Understanding Scaling Laws for Recommendation Models
Newsha Ardalani, Carole-Jean Wu, Zeliang Chen, Bhargav Bhushanam +1 more
2022arXiv.org69 citations Open access
Semantic Scholar
AutoShard: Automated Embedding Table Sharding for Recommender Systems
D. Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary +6 more
2022Knowledge Discovery and Data Mining39 citations Open access
Semantic Scholar
DreamShard: Generalizable Embedding Table Placement for Recommender Systems
D. Zha, Louis Feng, Q. Tan, Zi-Rui Liu +5 more
2022Neural Information Processing Systems37 citations Open access
Semantic Scholar
Positive Unlabeled Contrastive Learning
Anish Acharya, Sujay Sanghavi, Li Jing, Bhargav Bhushanam +3 more
2022arXiv.org17 citations Open access
Semantic Scholar
MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations
Shao-Chen Zhong, Yifan Lu, Li-Ze Shao, Bhargav Bhushanam +12 more
2025International Conference on Learning Representations14 citations
Semantic Scholar
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models
D. Zha, Louis Feng, Liangchen Luo, Bhargav Bhushanam +7 more
2023Conference on Machine Learning and Systems13 citations Open access
Semantic Scholar
Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems
Mao Ye, Rui-Chen Jiang, Haoxiang Wang, Dhruv Choudhary +5 more
2022Conference on Uncertainty in Artificial Intelligence10 citations Open access
Semantic Scholar
Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits
Yan Li, Dhruv Choudhary, Xiaohan Wei, Baichuan Yuan +3 more
2021International Conference on Learning Representations8 citations
Semantic Scholar
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems
Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary +6 more
2021International Conference on Machine Learning and Applications7 citations
Semantic Scholar
Harmless Transfer Learning for Item Embeddings
Chengyue Gong, Xiaocong Du, Dhruv Choudhary, Bhargav Bhushanam +2 more
2022NAACL-HLT2 citations Open access
Semantic Scholar
Layer Compression of Deep Networks with Straight Flows
Chengyue Gong, Xiaocong Du, Bhargav Bhushanam, Lemeng Wu +4 more
2024AAAI Conference on Artificial Intelligence1 citations Open access
Semantic Scholar
BLENDER: Blended Text Embeddings and Diffusion Residuals for Intra-Class Image Synthesis in Deep Metric Learning
J. Kolf, Ozan Tezcan, Justin Theiss, Hyung Jun Kim +6 more
2026arXiv.org0 citations
Semantic Scholar
Contrastive Positive Unlabeled Learning
Anish Acharya, Sujay Sanghavi, Li Jing, Bhargav Bhushanam +2 more
20230 citations
Semantic Scholar
Galenism: A Methodology for the Key Unification of Von Neumann Machines and Hierarchical Databases
Pallabi Chakraborty, Bhargav Bhushanam
20180 citations
Semantic Scholar