Harini Kannan

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 34 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom Harini Kannan trusts overall

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

  1. Ian J. Goodfellow
  2. Christian Szegedy
  3. Alexey Kurakin
  4. Geoffrey E. Hinton
  5. Nicolas Papernot
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Yoshua Bengio
  9. Yann LeCun
  10. Diederik P. Kingma

Who trusts Harini Kannan overall

  1. Cihang Xie
  2. David Stutz
  3. Julian Salazar
  4. Dan Hendrycks
  5. Ali Shafahi
  6. Yu Sun
  7. Matthias Hein
  8. Tianyu Pang
  9. Alan L. Yuille
  10. Yinpeng Dong

Papers from Harini Kannan's perspective

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

Their papers