Rajiv Khanna

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 4 papers; trusts 56 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Rajiv Khanna trusts overall

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

  1. Francis R. Bach
  2. Tong Zhang
  3. Geoffrey E. Hinton
  4. Ian J. Goodfellow
  5. Kaiming He
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. Yann LeCun
  9. Diederik P. Kingma
  10. Martin Jaggi

Who trusts Rajiv Khanna overall

  1. Giulia Vilone
  2. Karthik S. Gurumoorthy
  3. Wojciech Samek
  4. Amit Dhurandhar
  5. Piyawat Lertvittayakumjorn
  6. Pierre Stock
  7. Sarah Tan
  8. Longo Luca
  9. Pang Wei Koh
  10. Chih-Kuan Yeh

Papers from Rajiv Khanna's perspective

Ordered by how strongly the researchers Rajiv Khanna 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers