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arXiv (Cornell University)
JournalCitation impact & published research
3,259,729
Works
7,194,679
Citations
693
h-index
IDs:OpenAlex
What are the most-cited papers on arXiv (Cornell University)?
ScholarIQmost cited works
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe, Christian Szegedy
arXiv (Cornell University). 201524,397 CitationsOPEN ACCESS
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton, Oriol Vinyals, Jay B. Dean
arXiv (Cornell University). 201513,988 CitationsOPEN ACCESS
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Jun‐Young Chung, Çağlar Gülçehre, Kyunghyun Cho, Yoshua Bengio
arXiv (Cornell University). 201410,809 CitationsOPEN ACCESS
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, Ruslan Salakhutdinov
arXiv (Cornell University). 20126,658 CitationsOPEN ACCESS
Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, Rob Fergus
arXiv (Cornell University). 20135,744 CitationsOPEN ACCESS
Related on ScholarIQ
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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Distilling the Knowledge in a Neural Network
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Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Paper
Improving neural networks by preventing co-adaptation of feature detectors
Paper
Intriguing properties of neural networks
Paper
ADADELTA: An Adaptive Learning Rate Method
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