Ravi Shekhar

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 168 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ravi Shekhar trusts overall

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

  1. Ilya Sutskever
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Karen Simonyan
  5. Diederik P. Kingma
  6. Alex Krizhevsky
  7. Kaiming He
  8. Oriol Vinyals
  9. Tomas Mikolov
  10. Yann LeCun

Who trusts Ravi Shekhar overall

  1. Matt Gardner
  2. Lisa Anne Hendricks
  3. Desmond Elliott

Papers from Ravi Shekhar's perspective

Ordered by how strongly the researchers Ravi Shekhar 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers