GREED: A Neural Framework for Learning Graph Distance Functions
- Rishabh Ranjan
- Siddharth Grover
- et al.
- 2022
- NeurIPS 2022
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59 results for Yogish Sabharwal
Effective Elastic Scaling of Deep Learning Workloads
- Vaibhav Saxena
- Jayaram Kr Kallapalayam Radhakrishnan
- et al.
- 2020
- MASCOTS 2020
PoWER-BERT: Accelerating BERT inference via progressive word-vector elimination
- 2020
- ICML 2020
Variable batch size across layers for efficient prediction on CNNs
- 2020
- CLOUD 2020
Rightsizing Clusters for Time-Limited Tasks
- Venkatesan T. Chakaravarthy
- Padmanabha V. Seshadri
- et al.
- 2021
- CLOUD 2021
Linear-time approximation schemes for clustering problems in any dimensions
- Amit Kumar
- Yogish Sabharwal
- et al.
- 2010
- Journal of the ACM
Efficient Scaling of Dynamic Graph Neural Networks
- Venkatesan T. Chakaravarthy
- Shivmaran S. Pandian
- et al.
- 2021
- SC 2021
Union of Convex Separators (UCS)
- Amit Prasad
- Rahul Garg
- et al.
- 2024
- CODS-COMAD 2024
Scalable algorithms for compact spanners on real world graphs
- Maulein Pathak
- Yogish Sabharwal
- et al.
- 2023
- ICS 2023
Decode-efficient prefix codes for hierarchical memory models
- Shashwat Banchhor
- Rishikesh R. Gajjala
- et al.
- 2020
- DCC 2020