Standout Papers

Learning long-term dependencies with gradient descent is difficult 1994 2026 2004 2015 4.3k
  1. Learning long-term dependencies with gradient descent is difficult (1994)
    Yoshua Bengio, P. Simard et al. IEEE Transactions on Neural Networks

Immediate Impact

28 by Nobel laureates 30 from Science/Nature 138 standout
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Works of P. Simard being referenced

Learning long-term dependencies with gradient descent is difficult
1994 Standout

Author Peers

Author Last Decade Papers Cites
P. Simard 302 412 127 1864 805 35 5.6k
Kevin P. Murphy 87 194 62 2093 755 30 6.4k
Davide Chicco 338 585 181 2048 552 63 8.1k
Frank F. Rosenblatt 46 224 27 2941 746 20 6.6k
Guolin Ke 226 241 68 1863 497 18 6.6k
Michael Steinbach 244 136 99 2172 563 72 6.5k
Grégoire Montavon 62 665 58 4337 1307 42 8.7k
M. Anthony Wong 147 206 70 2129 1354 17 8.6k
Giuseppe Jurman 279 584 181 1854 520 89 8.6k
Igor Kononenko 157 421 130 2954 868 86 6.5k
Iqbal H. Sarker 119 507 99 1954 571 86 6.4k

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2026