Mohan Kankanhalli

Artificial Intelligence · 2010–2024

A researcher in the Science corpus: 20 papers; trusts 1,092 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Mohan Kankanhalli trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Yann LeCun
  7. Ilya Sutskever
  8. Karen Simonyan
  9. Ross B. Girshick
  10. Andrew Zisserman

Who trusts Mohan Kankanhalli overall

  1. Xinru Wang

Papers from Mohan Kankanhalli's perspective

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

Their papers