A Multi-Teacher Knowledge Distillation Framework with Aggregation Techniques for Lightweight Deep Models
Knowledge Distillation (KD) is a machine learning technique in which a compact student model learns to replicate the performance of a larger teacher model by mimicking its output predictions. Multi-Teacher Knowledge Distillation extends this paradigm by aggregating knowledge from multiple teacher mo...
I tiakina i:
| Ngā kaituhi matua: | , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
MDPI AG
2025-09-01
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| Rangatū: | Applied System Innovation |
| Ngā marau: | |
| Urunga tuihono: | https://www.mdpi.com/2571-5577/8/5/146 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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