No Free Prune: Information-Theoretic Barriers to Pruning at Initialization

Tanishq Kumar; Kevin Luo; Mark Sellke

2024 ICML ICML 2024

No Free Prune: Information-Theoretic Barriers to Pruning at Initialization

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Tanishq Kumar, Kevin Luo, Mark Sellke

Topics

Artificial Intelligence > Core AI > Model Compression Machine Learning > Optimization & Theory > Learning Theory Deep Learning > Architectures > Neural Networks

Keywords

robustness mutual information pruning at initialization lottery ticket sparse subnetwork effective parameter count

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