Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks

Research article (Proceedings of the AAAI Conference on Artificial Intelligence, 2021) · cited 21× · AI/ML
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Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks

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Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/provable-benefits-of-overparameterization-in-model-compression-from-double-descent-to-pruning-neural-networks
MLA “Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/provable-benefits-of-overparameterization-in-model-compression-from-double-descent-to-pruning-neural-networks.
BibTeX @misc{4ortxyz_provable-benefits-of-overparameterization-in-model-compression-from-double-descent-to-pruning-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks}}, year = {2026}, url = {https://4ort.xyz/entity/provable-benefits-of-overparameterization-in-model-compression-from-double-descent-to-pruning-neural-networks}, note = {Accessed: 2026-05-24}}
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