Edith Cohen

Artificial Intelligence · Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication · 1997–2018

A researcher in the Science corpus: 11 papers; trusts 102 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Edith Cohen trusts overall

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

  1. Avrim Blum
  2. Linton C. Freeman
  3. Don Coppersmith
  4. Zhilin Yang
  5. David Kempe
  6. Thomas Kipf
  7. Tomas Mikolov
  8. Xiaojin Zhu
  9. Jure Leskovec
  10. Manuel Gomez-Rodriguez

Who trusts Edith Cohen overall

  1. Eliav Buchnik
  2. Yajun Wang
  3. Youze Tang
  4. Elias Boutros Khalil
  5. Christopher R. Palmer
  6. Nan Du
  7. Johannes Klicpera
  8. Sunita Sarawagi
  9. Le Song
  10. Moses Charikar

Papers from Edith Cohen's perspective

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

Their papers