Deep learning· 2019
Parameter-Efficient Transfer Learning for NLP
On the reading lists
- #308 in the Top 500 (2026 edition)
- #37 in Deep learning (2026 edition)
Why it matters
Established task-specific adapter modules as an effective alternative to full model fine-tuning.
Condensed from the expert lists' notes.
The record
- First released
- 2019 (from arXiv 1902.00751)
- Citations
- 7,563 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Also relevant to
- Language, speech & LLMs
- Score
- 0.439 · computed rank 308 · consensus 0.58, must-read 0, citations percentile 0.756 (2010s · deep-learning), awards 0, existing lists 0. Method
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.