Standout Papers

Gradient-based learning applied to document recognition 1998 2026 2007 2016 25.6k
  1. Gradient-based learning applied to document recognition (1998)
    Yann LeCun, Léon Bottou et al. Proceedings of the IEEE
  2. Support vector machines for histogram-based image classification (1999)
    Olivier Chapelle, Patrick Haffner et al. IEEE Transactions on Neural Networks

Immediate Impact

62 by Nobel laureates 42 from Science/Nature 233 standout
Sub-graph 1 of 17

Citing Papers

Accurate proteome-wide missense variant effect prediction with AlphaMissense
2023 StandoutScienceNobel
Machine Learning Methods for Small Data Challenges in Molecular Science
2023 Standout
18 intermediate papers

Works of Patrick Haffner being referenced

Support vector machines for histogram-based image classification
1999 Standout
Gradient-based learning applied to document recognition
1998 Standout

Author Peers

Author Last Decade Papers Cites
Patrick Haffner 11107 10205 1742 3369 24 27.2k
Léon Bottou 13938 12689 2254 3730 45 32.8k
Aaron Courville 10334 10108 1960 1623 70 26.5k
Peter E. Hart 9974 8593 2563 1398 69 27.3k
Corinna Cortes 14128 8722 2779 3154 55 44.4k
Karen Simonyan 14069 21411 2005 3135 44 44.1k
Ruslan Salakhutdinov 15680 11827 3311 2909 89 38.0k
Richard Socher 12893 16159 1156 1372 45 30.4k
Christopher K. I. Williams 11578 12679 1497 1860 100 33.0k
Li-Jia Li 11399 18057 1122 1236 32 29.3k
Chih‐Jen Lin 11281 9876 2857 2392 102 34.5k

All Works

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