Channel Pruning Guided by Classification Loss and Feature Importance

Research article (Proceedings of the AAAI Conference on Artificial Intelligence, 2020) · cited 50× · AI/ML
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Channel Pruning Guided by Classification Loss and Feature Importance

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Channel Pruning Guided by Classification Loss and Feature Importance is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Channel Pruning Guided by Classification Loss and Feature Importance. Retrieved May 24, 2026, from https://4ort.xyz/entity/channel-pruning-guided-by-classification-loss-and-feature-importance
MLA “Channel Pruning Guided by Classification Loss and Feature Importance.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/channel-pruning-guided-by-classification-loss-and-feature-importance.
BibTeX @misc{4ortxyz_channel-pruning-guided-by-classification-loss-and-feature-importance_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Channel Pruning Guided by Classification Loss and Feature Importance}}, year = {2026}, url = {https://4ort.xyz/entity/channel-pruning-guided-by-classification-loss-and-feature-importance}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Channel Pruning Guided by Classification Loss and Feature Importance — https://4ort.xyz/entity/channel-pruning-guided-by-classification-loss-and-feature-importance (retrieved 2026-05-24)

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