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Knowledge transferred adaptive filter pruning for CNN compression and acceleration

Research article (Science China Information Sciences, 2022) · cited 10× · AI/ML
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Summary

Knowledge transferred adaptive filter pruning for CNN compression and acceleration is a scholarly article[1].

Key Facts

  • Knowledge transferred adaptive filter pruning for CNN compression and acceleration's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Knowledge transferred adaptive filter pruning for CNN compression and acceleration. Retrieved October 20, 2026, from https://4ort.xyz/entity/knowledge-transferred-adaptive-filter-pruning-for-cnn-compression-and-acceleration
MLA “Knowledge transferred adaptive filter pruning for CNN compression and acceleration.” 4ort.xyz Knowledge Graph, 4ort.xyz, 20 Oct. 2026, https://4ort.xyz/entity/knowledge-transferred-adaptive-filter-pruning-for-cnn-compression-and-acceleration.
BibTeX @misc{4ortxyz_knowledge-transferred-adaptive-filter-pruning-for-cnn-compression-and-acceleration_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Knowledge transferred adaptive filter pruning for CNN compression and acceleration}}, year = {2026}, url = {https://4ort.xyz/entity/knowledge-transferred-adaptive-filter-pruning-for-cnn-compression-and-acceleration}, note = {Accessed: 2026-10-20}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Knowledge transferred adaptive filter pruning for CNN compression and acceleration — https://4ort.xyz/entity/knowledge-transferred-adaptive-filter-pruning-for-cnn-compression-and-acceleration (retrieved 2026-10-20)

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