N. Asokan

Artificial Intelligence · IEEE International Conference on Distributed Computing Systems · 2013–2019

A researcher in the Science corpus: 9 papers; trusts 114 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom N. Asokan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Ian J. Goodfellow
  7. Kaiming He
  8. Diederik P. Kingma
  9. Tomas Mikolov
  10. Alex Graves

Who trusts N. Asokan overall

  1. Sameer Wagh
  2. Fatemehsadat Mireshghallah
  3. M. Sadegh Riazi
  4. Divya Gupta
  5. Mohammadkazem Taram
  6. Jiasi Chen
  7. Nishanth Chandran
  8. Praneeth Vepakomma

Papers from N. Asokan's perspective

Ordered by how strongly the researchers N. Asokan trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers