Andrew Kalaani

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Andrew Kalaani trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Karen Simonyan
  6. X. Zhang

Papers from Andrew Kalaani's perspective

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

Their papers