Rajiv Ratn Shah

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 9 papers; trusts 92 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Rajiv Ratn Shah trusts overall

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

  1. Alex Graves
  2. J. Urgen Schmidhuber
  3. Ilya Sutskever
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Kaiming He
  8. Yann LeCun
  9. Yoon Kim
  10. Diederik P. Kingma

Who trusts Rajiv Ratn Shah overall

  1. M. Mohammadi
  2. Ala Al-Fuqaha
  3. Sameh Sorour

Papers from Rajiv Ratn Shah's perspective

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

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

Their papers