Keshav Balasubramanian

According to our database, Keshav Balasubramanian authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Biased User History Synthesis for Personalized Long-Tail Item Recommendation.

Keshav Balasubramanian, Abdulla Alshabanah, Elan Markowitz, Greg Ver Steeg, Murali Annavaram

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2022

StATIK: Structure and Text for Inductive Knowledge Graph Completion.

Elan Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Murali Annavaram, Aram Galstyan, Greg Ver Steeg

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data.

Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks.

Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr

CoRR, 2021

FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks.

Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram, Salman Avestimehr

CoRR, 2021

cDLRM: Look Ahead Caching for Scalable Training of Recommendation Models.

Keshav Balasubramanian, Abdulla Alshabanah, Joshua D. Choe, Murali Annavaram

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning.

Elan Sopher Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Bryan Perozzi, Greg Ver Steeg, Aram Galstyan

Proceedings of the 9th International Conference on Learning Representations, 2021

Origami Inference: Private Inference Using Hardware Enclaves.

Krishna Giri Narra, Zhifeng Lin, Yongqin Wang, Keshav Balasubramanian, Murali Annavaram

Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2020

Distributed Training of Graph Convolutional Networks using Subgraph Approximation.

Alexandra Angerd, Keshav Balasubramanian, Murali Annavaram

CoRR, 2020

2019

Resiliency of automotive object detection networks on GPU architectures.

Atieh Lotfi, Saurabh Hukerikar, Keshav Balasubramanian, Paul Racunas, Nirmal R. Saxena, Richard Bramley, Yanxiang Huang

Proceedings of the IEEE International Test Conference, 2019