Guy Halawi

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Guy Halawi trusts overall

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

  1. Eric R. Ziegel
  2. Evgeniy Gabrilovich
  3. Dekang Lin
  4. James C. Spall
  5. David M. Blei
  6. Rion Snow
  7. Kira Radinsky
  8. Shaul Markovitch
  9. Andrew Y. Ng
  10. Michael I. Jordan

Who trusts Guy Halawi overall

  1. Yu-An Chung
  2. Marco Baroni
  3. Robyn Speer
  4. Chris Welty
  5. Shauli Ravfogel
  6. James R. Glass
  7. Shilad Sen
  8. Georgiana Dinu
  9. Joshua Chin
  10. Praveen K. Paritosh

Papers from Guy Halawi's perspective

Ordered by how strongly the researchers Guy Halawi 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Latent Dirichlet Allocation
  6. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Book Reviews: WordNet: An Electronic Lexical Database

Their papers