Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
March 13, 2024Open Access

Data-oriented Dynamic Fine-tuning Parameter Selection Strategy for FISH Mask based Efficient Fine-tuning

View Full Paper
Ask AI
Bookmark
Share

Authors

MDMing DongTianjin UniversityKXKang XueTianjin UniversityBZBolong ZhengHuazhong University of Science and Technology

Discussion

Loading...

Member takes

Implication

Key Points

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

Cite This Study

Dong et al. (2024) studied this question.

synapsesocial.com/papers/68e74464b6db6435876bdfe7https://doi.org/10.48550/arxiv.2403.08484
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. 1Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language Models2024
  2. 2AdaFish: Fast low-rank parameter-efficient fine-tuning by using second-order information2024
  3. 3Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning2024 · 1 citations
  4. 4Parameter Efficient Fine Tuning: A Comprehensive Analysis Across Applications2024 · 5 citations
  5. 5An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models2024