Danny Karmon

Artificial Intelligence · 2018–2020

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

Subfields

Whom Danny Karmon trusts overall

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

  1. Christian Szegedy
  2. Tom B. Brown
  3. Ian J. Goodfellow
  4. Karen Simonyan
  5. Vincent Vanhoucke
  6. Sergey Ioffe
  7. Jonathon Shlens
  8. Dandelion Mané
  9. Geoffrey E. Hinton
  10. Alex Krizhevsky

Who trusts Danny Karmon overall

  1. Mirazul Haque
  2. Aishan Liu
  3. Edward Chou
  4. Anki Chauhan
  5. Xianglong Liu

Papers from Danny Karmon's perspective

Ordered by how strongly the researchers Danny Karmon 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. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  7. Intriguing properties of neural networks
  8. Rethinking the Inception Architecture for Computer Vision
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers