R. Kannan

Artificial Intelligence · 1991–2020

A researcher in the Science corpus: 9 papers; trusts 29 researchers and is trusted by 77 researchers here, as inferred from the citation graph.

Subfields

Whom R. Kannan trusts overall

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

  1. David P. Woodruff
  2. Frank McSherry
  3. Jianbo Shi
  4. Nir Ailon
  5. Uriel Feige
  6. Dimitris Achlioptas
  7. Christos Boutsidis
  8. Haim Avron
  9. Jon M. Kleinberg
  10. Jeffrey Scott Vitter

Who trusts R. Kannan overall

  1. David P. Woodruff
  2. Michael W. Mahoney
  3. Petros Drineas
  4. Ulrike von Luxburg
  5. Santosh Srinivas Vempala
  6. Marina Meila
  7. Daniel A. Spielman
  8. Mikhail Belkin
  9. Raef Bassily
  10. Oded Goldreich

Papers from R. Kannan's perspective

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

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

Their papers