Danny Eytan

Artificial Intelligence · 2006–2021

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Danny Eytan trusts overall

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

  1. John M. Beggs
  2. Marc Barthelemy
  3. Olaf Sporns
  4. Takashi Nishikawa
  5. Aapo Hyvärinen
  6. Dietmar Plenz
  7. Geoffrey E. Hinton
  8. Yoshua Bengio
  9. Marthinus Christoffel du Plessis
  10. Charles Peter Elkan

Who trusts Danny Eytan overall

  1. Vivek Veeriah
  2. Miguel Angel Muñoz
  3. Rohit Durvasula
  4. Yuqi Nie
  5. Guo-Jun Qi
  6. Vijayabharathi Ekambaram
  7. Ofer Feinerman
  8. Nam H. Nguyen
  9. Zhihan Yue

Papers from Danny Eytan's perspective

Ordered by how strongly the researchers Danny Eytan 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers