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ORCIDKeshav Balasubramanian
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2020 – today
- 2024
[c7]Keshav Balasubramanian
, Abdulla Alshabanah, Elan Markowitz, Greg Ver Steeg, Murali Annavaram:
Biased User History Synthesis for Personalized Long-Tail Item Recommendation. RecSys 2024: 189-199- 2022
- [c6]Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr:
SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data. AAAI 2022: 6865-6873 - [c5]Elan Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Murali Annavaram, Aram Galstyan, Greg Ver Steeg:
StATIK: Structure and Text for Inductive Knowledge Graph Completion. NAACL-HLT (Findings) 2022: 604-615 - 2021
- [c4]Krishna Giri Narra, Zhifeng Lin, Yongqin Wang, Keshav Balasubramanian, Murali Annavaram:
Origami Inference: Private Inference Using Hardware Enclaves. CLOUD 2021: 78-84 - [c3]Elan Sopher Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Bryan Perozzi, Greg Ver Steeg, Aram Galstyan:
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning. ICLR 2021 - [c2]Keshav Balasubramanian, Abdulla Alshabanah, Joshua D. Choe, Murali Annavaram:
cDLRM: Look Ahead Caching for Scalable Training of Recommendation Models. RecSys 2021: 263-272 - [i4]Elan Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Bryan Perozzi, Greg Ver Steeg, Aram Galstyan:
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning. CoRR abs/2102.04350 (2021) - [i3]Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram, Salman Avestimehr:
FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks. CoRR abs/2104.07145 (2021) - [i2]Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr:
SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks. CoRR abs/2106.02743 (2021) - 2020
- [i1]Alexandra Angerd, Keshav Balasubramanian, Murali Annavaram:
Distributed Training of Graph Convolutional Networks using Subgraph Approximation. CoRR abs/2012.04930 (2020)
2010 – 2019
- 2019
- [c1]Atieh Lotfi, Saurabh Hukerikar, Keshav Balasubramanian, Paul Racunas, Nirmal R. Saxena, Richard Bramley, Yanxiang Huang:
Resiliency of automotive object detection networks on GPU architectures. ITC 2019: 1-9
Coauthor Index
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