Abraham Heifets

Computational Theory and Mathematics · 2015

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Abraham Heifets trusts overall

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

  1. Geoffrey E. Hinton
  2. Michael M. Mysinger
  3. Matthew D. Zeiler
  4. Thomas Unterthiner
  5. John J. Irwin
  6. Vinod Nair
  7. Brian K. Shoichet
  8. George E. Dahl
  9. David E. Rumelhart
  10. Andreas Mayr

Who trusts Abraham Heifets overall

  1. Garrett B. Goh
  2. Fangping Wan
  3. Charles Siegel
  4. Adam Bohr
  5. Zixuan Cang
  6. Octavian-Eugen Ganea

Papers from Abraham Heifets's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Going deeper with convolutions
  3. Rectified Linear Units Improve Restricted Boltzmann Machines
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Learning representations by back-propagating errors
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Deep Learning
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers