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ICLR

ML/AI Core
11,015 papers · 2018–2025

ICLR (International Conference on Learning Representations) focuses on representation learning and deep learning, including neural network architectures, training methods, and generative models.

Papers per year

337
502
687
859
1094
1573
2260
3703
'20
'25

Top authors

Sergey Levine 90 papers
Yoshua Bengio 73 papers
Yang Liu 61 papers
Zhangyang Wang 58 papers
Junchi Yan 53 papers
Tongliang Liu 44 papers
Pieter Abbeel 42 papers
Bo Li 41 papers
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