Search Results for author: Ritwik Kanodia

Found 2 papers, 2 papers with code

Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning

1 code implementation • 29 Sep 2022 • Manas Gupta, Efe Camci, Vishandi Rudy Keneta, Abhishek Vaidyanathan, Ritwik Kanodia, Chuan-Sheng Foo, Wu Min, Lin Jie

Surprisingly, we find that vanilla Global MP performs very well against the SOTA techniques.

Network Pruning

Paper
Code

Global Magnitude Pruning With Minimum Threshold Is All We Need

1 code implementation • 29 Sep 2021 • Manas Gupta, Vishandi Rudy Keneta, Abhishek Vaidyanathan, Ritwik Kanodia, Efe Camci, Chuan-Sheng Foo, Jie Lin

We showcase that magnitude based pruning, specifically, global magnitude pruning (GP) is sufficient to achieve SOTA performance on a range of neural network architectures.

Network Pruning

Paper
Code

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