Kaisar Kushibar

Artificial Intelligence · 2017–2023

A researcher in the Science corpus: 2 papers; trusts 104 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kaisar Kushibar trusts overall

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

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

Papers from Kaisar Kushibar's perspective

Ordered by how strongly the researchers Kaisar Kushibar 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers