Yair Zick

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 91 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Yair Zick trusts overall

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

  1. Alex Krizhevsky
  2. Matthew D. Zeiler
  3. Geoffrey E. Hinton
  4. Marco Ancona
  5. Cynthia Dwork
  6. Christian Szegedy
  7. Avanti Shrikumar
  8. Reza Shokri
  9. Karen Simonyan
  10. Ilya Sutskever

Who trusts Yair Zick overall

  1. Scott M. Lundberg
  2. Mukund Sundararajan
  3. Ian Covert
  4. Su-In Lee
  5. Giulia Vilone
  6. Luke Merrick
  7. Gabriel Erion-Barner
  8. Nadia Burkart
  9. Simon Caton
  10. Ankur Taly

Papers from Yair Zick's perspective

Ordered by how strongly the researchers Yair Zick 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. ImageNet Large Scale Visual Recognition Challenge
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers