An Efficient Method of Training Small Models for Regression Problems with Knowledge Distillation

Research article (2020 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 2020) · cited 34× · AI/ML
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An Efficient Method of Training Small Models for Regression Problems with Knowledge Distillation

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An Efficient Method of Training Small Models for Regression Problems with Knowledge Distillation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An Efficient Method of Training Small Models for Regression Problems with Knowledge Distillation. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-method-of-training-small-models-for-regression-problems-with-knowledge-distillation
MLA “An Efficient Method of Training Small Models for Regression Problems with Knowledge Distillation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-method-of-training-small-models-for-regression-problems-with-knowledge-distillation.
BibTeX @misc{4ortxyz_an-efficient-method-of-training-small-models-for-regression-problems-with-knowledge-distillation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Efficient Method of Training Small Models for Regression Problems with Knowledge Distillation}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-method-of-training-small-models-for-regression-problems-with-knowledge-distillation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Efficient Method of Training Small Models for Regression Problems with Knowledge Distillation — https://4ort.xyz/entity/an-efficient-method-of-training-small-models-for-regression-problems-with-knowledge-distillation (retrieved 2026-05-24)

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