NeurIPS
ML/AI Core
21,859 papers
· 2006–2024
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
1009
1428
1898
2334
2834
3540
4493
'10
'15
'20
Top authors
Michael I. Jordan
96 papers
Bernhard Schölkopf
84 papers
Sergey Levine
82 papers
Andreas Krause
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