Generative models· 2016
Improved Techniques for Training GANs
On the reading lists
- #269 in the Top 500 (2026 edition)
- #15 in Generative models (2026 edition)
Why it matters
Introduced feature matching, minibatch discrimination, and other stabilizers.
Condensed from the expert lists' notes.
The record
- First released
- 2016 (from arXiv 1606.03498)
- Citations
- 10,762 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- the grok list only
- Score
- 0.470 · computed rank 269 · consensus 0.26, must-read 0.5, citations percentile 0.833 (2010s · generative-models), awards 0, existing lists 0.5. 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.