Sharad K. Agarwal

Computer Networks and Communications · 2001–2016

A researcher in the Science corpus: 7 papers; trusts 28 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Sharad K. Agarwal trusts overall

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

  1. Muthu Dayalan
  2. Aaron M. Fewkes
  3. Sanjeev Arora
  4. Jason Flinn
  5. Frank Dabek
  6. Rodrigo Fonseca
  7. Ronnie Chaiken
  8. M. Mccabe
  9. Karen Simonyan
  10. Geoffrey E. Hinton

Who trusts Sharad K. Agarwal overall

  1. Eun-Sun Jung
  2. Sunil Kumar
  3. Nitin H. Vaidya
  4. Shi Zhou
  5. Vineet S. Raghavan
  6. Beichuan Zhang
  7. Anja Feldmann

Papers from Sharad K. Agarwal's perspective

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

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

Their papers