Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
May 31, 2024Open Access

Automatic Channel Pruning for Multi-Head Attention

View Full Paper
Ask AI
Bookmark
Share

Authors

ELEunho LeeYHYoungbae Hwang

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Lee et al. (2024) studied this question.

synapsesocial.com/papers/68e6785bb6db643587602a32https://doi.org/10.48550/arxiv.2405.20867
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1AMAP: Automatic Multihead Attention Pruning by Similarity-Based Pruning Indicator2025 · 1 citations
  2. 2Research on Static Structured Pruning of Vision Transformers Based on L1 Norm and Uniform Layer-wise Constraint: A Case Study of DeiT2026
  3. 3Examining the Universality Assumption of Attention Head Pruning across Datasets2026
  4. 4GAT TransPruning: progressive channel pruning strategy combining graph attention network and transformer2024 · 4 citations
  5. 5Attention-Guided Differentiable Channel Pruning for Efficient Deep Networks2025 · 8 citations