Shiv Shankar

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 32 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Shiv Shankar trusts overall

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

  1. Yann LeCun
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Christian Szegedy
  6. Alex Krizhevsky
  7. Ian J. Goodfellow
  8. Ilya Sutskever
  9. Diederik P. Kingma
  10. Hal Daumé Iii

Who trusts Shiv Shankar overall

  1. Kaiyang Zhou
  2. Fabio Maria Carlucci
  3. Yongxin Yang
  4. Haohan Wang
  5. Atsutoshi Kumagai
  6. Divyat Mahajan
  7. Fengchun Qiao
  8. Yufei Wang
  9. Jiaxing Huang
  10. Zeyi Huang

Papers from Shiv Shankar's perspective

Ordered by how strongly the researchers Shiv Shankar 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  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