Bhargav Bhushanam

18 papers A* 5A 1C 1Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BLENDER: Blended Text Embeddings and Diffusion Residuals for Intra-Class Image Synthesis in Deep Metric Learning. CoRR Jan Niklas Kolf, Ozan Tezcan, Justin Theiss, Hyung Jun Kim, Wentao Bao, Bhargav Bhushanam, Khushi Gupta, Arun Kejariwal, Naser Damer, Fadi Boutros
2025	A*	`conf`	MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations. ICLR Shaochen (Henry) Zhong, Yifan Lu, Lize Shao, Bhargav Bhushanam, Xiaocong Du, Yixin Wan, Yucheng Shi, Daochen Zha, Yiwei Wang, Ninghao Liu, Kaixiong Zhou, Shuai Xu, Kai-Wei Chang, Louis Feng, Vipin Chaudhary, Xia Hu
2024	A*	`conf`	Layer Compression of Deep Networks with Straight Flows. AAAI Chengyue Gong, Xiaocong Du, Bhargav Bhushanam, Lemeng Wu, Xingchao Liu, Dhruv Choudhary, Arun Kejariwal, Qiang Liu
2023	—	`conf`	Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models. MLSys Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu
2023	J	`jnl`	Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models. CoRR Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu
2022	A*	`conf`	AutoShard: Automated Embedding Table Sharding for Recommender Systems. KDD Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu
2022	J	`jnl`	AutoShard: Automated Embedding Table Sharding for Recommender Systems. CoRR Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu
2022	A*	`conf`	DreamShard: Generalizable Embedding Table Placement for Recommender Systems. NeurIPS Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
2022	J	`jnl`	DreamShard: Generalizable Embedding Table Placement for Recommender Systems. CoRR Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
2022	A*	`conf`	Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits. ICLR Yan Li, Dhruv Choudhary, Xiaohan Wei, Baichuan Yuan, Bhargav Bhushanam, Tuo Zhao, Guanghui Lan
2022	J	`jnl`	Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems. CoRR Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, Qiang Liu
2022	A	`conf`	Future gradient descent for adapting the temporal shifting data distribution in online recommendation systems. UAI Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, Qiang Liu
2022	—	`conf`	Harmless Transfer Learning for Item Embeddings. NAACL-HLT (Findings) Chengyue Gong, Xiaocong Du, Dhruv Choudhary, Bhargav Bhushanam, Qiang Liu, Arun Kejariwal
2022	J	`jnl`	Positive Unlabeled Contrastive Learning. CoRR Anish Acharya, Sujay Sanghavi, Li Jing, Bhargav Bhushanam, Dhruv Choudhary, Michael G. Rabbat, Inderjit S. Dhillon
2022	J	`jnl`	Understanding Scaling Laws for Recommendation Models. CoRR Newsha Ardalani, Carole-Jean Wu, ZeLiang Chen, Bhargav Bhushanam, Adnan Aziz
2021	C	`conf`	Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems. ICMLA Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal
2021	J	`jnl`	Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems. CoRR Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal
2021	J	`jnl`	Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits. CoRR Yan Li, Dhruv Choudhary, Xiaohan Wei, Baichuan Yuan, Bhargav Bhushanam, Tuo Zhao, Guanghui Lan