Jonathan Eckstein

Computer Vision and Pattern Recognition · with Chu · 2010–2012

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan Eckstein trusts overall

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

  1. Jerome H. Friedman
  2. Yoav Freund
  3. Corinna Cortes
  4. Robert E. Schapire
  5. William W. Cohen
  6. Marco E. Lübbecke
  7. Ayhan Demiriz
  8. Jason Aaron Edward Weston
  9. Michael Kearns
  10. Gunnar Rätsch

Who trusts Jonathan Eckstein overall

  1. Berk Ustun
  2. Marc E. Pfetsch
  3. Cynthia Rudin
  4. Sebastian Pokutta

Papers from Jonathan Eckstein's perspective

Ordered by how strongly the researchers Jonathan Eckstein trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Support-Vector Networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Statistical Learning Theory

Their papers