Deep learning· 2018
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
On the reading lists
- #431 in the Top 500 (2026 edition)
- #49 in Deep learning (2026 edition)
Why it matters
Established the neural tangent kernel framework for understanding infinite-width network training dynamics.
Condensed from the expert lists' notes.
The record
- First released
- 2018 (from arXiv 1806.07572)
- Citations
- 4,360 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Also relevant to
- Machine learning foundations
- Score
- 0.369 · computed rank 431 · consensus 0.51, must-read 0, citations percentile 0.616 (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.