Deep learning· 2016
Identity Mappings in Deep Residual Networks
DOI 10.1007/978-3-319-46493-0_38arXiv 1603.05027OpenAlex W2302255633
On the reading lists
- #289 in the Top 500 (2026 edition)
- #35 in Deep learning (2026 edition)
Why it matters
Showed pre-activation identity mappings ease very deep training.
Condensed from the expert lists' notes.
The record
- First released
- 2016 (from arXiv 1603.05027)
- Citations
- 11,461 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Score
- 0.454 · computed rank 289 · consensus 0.285, must-read 0, citations percentile 0.767 (2010s · deep-learning), awards 0, existing lists 1. 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.