Keshav Balasubramanian

12 papers A* 2A 3B 1Journal 5Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Meta-Learn to Unlearn: Enhanced Exact Machine Unlearning in Recommendation Systems with Meta-Learning. Proc. Priv. Enhancing Technol. Abdulla Alshabanah, Keshav Balasubramanian, Murali Annavaram
2024	A	`conf`	Biased User History Synthesis for Personalized Long-Tail Item Recommendation. RecSys Keshav Balasubramanian, Abdulla Alshabanah, Elan Markowitz, Greg Ver Steeg, Murali Annavaram
2022	A*	`conf`	SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data. AAAI Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr
2022	—	`conf`	StATIK: Structure and Text for Inductive Knowledge Graph Completion. NAACL-HLT (Findings) Elan Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Murali Annavaram, Aram Galstyan, Greg Ver Steeg
2021	J	`jnl`	FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks. CoRR Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram, Salman Avestimehr
2021	A*	`conf`	Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning. ICLR Elan Sopher Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Bryan Perozzi, Greg Ver Steeg, Aram Galstyan
2021	J	`jnl`	Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning. CoRR Elan Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Bryan Perozzi, Greg Ver Steeg, Aram Galstyan
2021	B	`conf`	Origami Inference: Private Inference Using Hardware Enclaves. CLOUD Krishna Giri Narra, Zhifeng Lin, Yongqin Wang, Keshav Balasubramanian, Murali Annavaram
2021	J	`jnl`	SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks. CoRR Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr
2021	A	`conf`	cDLRM: Look Ahead Caching for Scalable Training of Recommendation Models. RecSys Keshav Balasubramanian, Abdulla Alshabanah, Joshua D. Choe, Murali Annavaram
2020	J	`jnl`	Distributed Training of Graph Convolutional Networks using Subgraph Approximation. CoRR Alexandra Angerd, Keshav Balasubramanian, Murali Annavaram
2019	A	`conf`	Resiliency of automotive object detection networks on GPU architectures. ITC Atieh Lotfi, Saurabh Hukerikar, Keshav Balasubramanian, Paul Racunas, Nirmal R. Saxena, Richard Bramley, Yanxiang Huang