Standout Papers

Dropout: a simple way to prevent neural networks from overfitting 2012 2026 2016 2021 17.4k
  1. Dropout: a simple way to prevent neural networks from overfitting (2014)
    Nitish Srivastava, Geoffrey E. Hinton et al. Journal of Machine Learning Research
  2. Unsupervised Learning of Video Representations using LSTMs (2015)
    Nitish Srivastava, Elman Mansimov et al. arXiv (Cornell University)
  3. Multimodal Learning with Deep Boltzmann Machines (2012)
    Nitish Srivastava, Ruslan Salakhutdinov Journal of Machine Learning Research

Immediate Impact

13 by Nobel laureates 31 from Science/Nature 96 standout
Sub-graph 1 of 21

Citing Papers

Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
2024 Standout
Accurate proteome-wide missense variant effect prediction with AlphaMissense
2023 StandoutScienceNobel
1 intermediate paper

Works of Nitish Srivastava being referenced

Dropout: a simple way to prevent neural networks from overfitting
2014 StandoutNobel

Author Peers

Author Last Decade Papers Cites
Nitish Srivastava 7032 5044 1482 1563 9 18.5k
Chih-Chung Chang 6308 5891 1783 1295 8 21.1k
Christopher J. C. Burges 5770 4492 1633 1180 21 16.2k
Ian Goodfellow 6249 3936 943 1186 27 14.4k
Patrick Haffner 11107 10205 1742 3369 24 27.2k
Christopher Bishop 4205 2411 1307 1045 10 12.0k
N. M. Laird 9434 3656 2972 1056 31 30.7k
Laurens van der Maaten 8629 6756 1952 977 36 23.2k
Kai Li 9445 15092 1068 1178 16 25.3k
W. Philip Kegelmeyer 8458 1736 982 1480 30 16.9k
Aditya Khosla 7674 13158 930 1087 20 22.6k

All Works

Loading papers...

Rankless by CCL
2026