Shashank Shekhar

A Cookbook of Self-Supervised Learning

Randall Balestriero, Mark Ibrahim, Vlad Sobal et al. · arXiv (Cornell University) · 2023 · 161 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +17

Beyond neural scaling laws: beating power law scaling via data pruning

Ben Sorscher, Robert Geirhos, Shashank Shekhar et al. · arXiv (Cornell University) · 2022 · 85 citations · Full text

Neural Scaling Law, Convolutional Neural Network, Engineering +15

Dynamic Resource Management Across Cloud-Edge Resources for Performance-Sensitive Applications

Shashank Shekhar, Aniruddha Gokhale · 2017 · 57 citations

Cluster Computing, Provisioning (Technology), Resource Orchestration +18

INDICES: Exploiting Edge Resources for Performance-Aware Cloud-Hosted Services

Shashank Shekhar, Ajay Chhokra, Anirban Bhattacharjee et al. · 2017 · 49 citations

Cluster Computing, Provisioning (Technology), Engineering +17

Performance Interference-Aware Vertical Elasticity for Cloud-Hosted Latency-Sensitive Applications

Shashank Shekhar, Hamzah Abdel-Aziz, Anirban Bhattacharjee et al. · 2018 · 36 citations

Cluster Computing, Elastic Auto-scaling, Engineering +19