NeurIPS
ML/AI Core
21,950 papers
· 2006–2025
NeurIPS (Conference on Neural Information Processing Systems) is a leading venue for machine learning and computational neuroscience, covering deep learning, optimization, probabilistic methods, and AI theory.
Papers per year
204
217
250
262
292
306
370
360
411
403
569
679
1,009
1,428
1,898
2,334
2,834
3,540
4,493
91
'10
'15
'20
'25
Top authors
Michael I. Jordan
96 papers
Bernhard Schölkopf
85 papers
Andreas Krause
82 papers
Sergey Levine
82 papers
Stefano Ermon
80 papers
Yoshua Bengio
78 papers
Jun Zhu
73 papers
Ruslan Salakhutdinov
70 papers
Josh Tenenbaum
64 papers
Pradeep K Ravikumar
63 papers
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their counts at this venue are combined. How identity is handled.
Newest papers
AI is Misled by GenAI: Stylistic Bias in Automated Assessment of Creativity in Large Language Models
2025
Pocket Ink - Heaven’s mandate: a hyper-individualized tangible card game platform in the Age of AI
2025
yammer
2025