Effective layer pruning through similarity metric perspective (2025)
- Authors:
- USP affiliated authors: COSTA, ANNA HELENA REALI - EP ; CORREIA, ARTUR JORDÃO LIMA - EP ; PONS, IAN GUARIM - EP ; YAMAMOTO, BRUNO LOPES - EP
- Unidade: EP
- DOI: 10.1007/978-3-031-78169-8_28
- Subjects: APRENDIZAGEM PROFUNDA; REDES NEURAIS; ESPAÇOS MÉTRICOS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 15305, p. 423-438, 2025
- Conference titles: International Conference on Pattern Recognition - ICPR 2024:Proceedings-Part V
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
PONS, Ian et al. Effective layer pruning through similarity metric perspective. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-78169-8_8. Acesso em: 30 dez. 2025. , 2025 -
APA
Pons, I., Yamamoto, B. L., Reali Costa, A. H., & Correia, A. J. L. (2025). Effective layer pruning through similarity metric perspective. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-78169-8_28 -
NLM
Pons I, Yamamoto BL, Reali Costa AH, Correia AJL. Effective layer pruning through similarity metric perspective [Internet]. Lecture Notes in Computer Science. 2025 ; 15305 423-438.[citado 2025 dez. 30 ] Available from: https://doi.org/10.1007/978-3-031-78169-8_8 -
Vancouver
Pons I, Yamamoto BL, Reali Costa AH, Correia AJL. Effective layer pruning through similarity metric perspective [Internet]. Lecture Notes in Computer Science. 2025 ; 15305 423-438.[citado 2025 dez. 30 ] Available from: https://doi.org/10.1007/978-3-031-78169-8_8 - Pruning everything, everywhere, all at once
- Enhancing distilled datasets via natural data mixing
- Efficient LLMs with AMP: attention heads and MLP pruning
- When layers play the lottery, all tickets win at initialization
- Towards automatic and accurate core-log processing
- Layer pruning with consensus: A triple-win solution
- One period to rule them all: identifying critical learning periods in deep networks
- Tiny titans: Efficient large vision, language and multimodal models through pruning
- The VIBRA multi-agent architecture: integrating purposive vision with deliberative and reactive planning
- Visão robótica
Informações sobre o DOI: 10.1007/978-3-031-78169-8_28 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
Effective_Layer_Pruning_T... |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
