Tilak Sharma

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 49 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tilak Sharma trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Karen Simonyan
  4. Zeynep Akata
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Andrew Zisserman
  9. Jimmy Ba
  10. Diederik P. Kingma

Papers from Tilak Sharma's perspective

Ordered by how strongly the researchers Tilak Sharma 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers