Amir Hertz

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 758 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Amir Hertz trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Kaiming He
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Yann LeCun
  7. Ilya Sutskever
  8. Ross B. Girshick
  9. Karen Simonyan
  10. Christian Szegedy

Who trusts Amir Hertz overall

  1. Tim Brooks
  2. Michal Geyer
  3. Aleksander Holynski
  4. Shelly Sheynin
  5. Dongxu Li
  6. Inbar Huberman-Spiegelglas
  7. Jiwoo Chung
  8. Xintao Wang
  9. Patrick Schramowski
  10. Oron Ashual

Papers from Amir Hertz's perspective

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

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

Their papers