Reuben Feinman

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Reuben Feinman trusts overall

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

  1. Ian J. Goodfellow
  2. Nicolas Papernot
  3. Yarin Gal
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Yann LeCun
  7. Alex Krizhevsky
  8. Christian Szegedy
  9. Zoubin Ghahramani
  10. Ilya Sutskever

Who trusts Reuben Feinman overall

  1. Nicholas Carlini
  2. David Stutz
  3. S. Murray
  4. Xingjun Ma
  5. Jamie Hayes
  6. Eric Wong
  7. Xuanqing Liu
  8. Mahmood Sharif
  9. Lewis Smith
  10. Matthias Hein

Papers from Reuben Feinman's perspective

Ordered by how strongly the researchers Reuben Feinman 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. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  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