Standout Papers

Object Detection with Discriminatively Trained Part-Based M... 1999 2026 2008 2017 4.3k
  1. Object Detection with Discriminatively Trained Part-Based Models (2009)
    Pedro F. Felzenszwalb, Ross Girshick et al. IEEE Transactions on Pattern Analysis and Machine Intelligence
  2. Policy Gradient Methods for Reinforcement Learning with Function Approximation (1999)
    Richard S. Sutton, David McAllester et al. Neural Information Processing Systems

Immediate Impact

25 by Nobel laureates 40 from Science/Nature 132 standout
Sub-graph 1 of 19

Citing Papers

Top-down design of protein architectures with reinforcement learning
2023 StandoutScienceNobel
Generalization in quantum machine learning from few training data
2022 Standout
5 intermediate papers

Works of David McAllester being referenced

Some PAC-Bayesian Theorems
1999
Policy Gradient Methods for Reinforcement Learning with Function Approximation
1999 Standout
and 2 more

Author Peers

Author Last Decade Papers Cites
David McAllester 3972 850 933 4522 79 8.9k
Jianfei Cai 2455 489 605 4289 196 9.4k
Jon Bentley 2968 726 1748 2912 84 8.9k
Nianyin Zeng 2675 395 436 2214 132 8.2k
Yoram Singer 7185 448 587 3661 92 11.6k
Luca Maria Gambardella 5042 1494 2542 2691 175 14.4k
Ah Chung Tsoi 3774 494 530 1996 133 8.2k
Andrew Moore 4857 933 1214 1400 116 9.7k
Jieping Ye 3961 337 499 4891 272 14.7k
David M. Mount 1472 353 531 2228 87 6.1k
Majdi Mafarja 7195 2485 989 1845 78 11.3k

All Works

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Rankless by CCL
2026