Emanuel Ben-Baruch

Computer Vision and Pattern Recognition · with Noy · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 433 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Emanuel Ben-Baruch trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Ilya Sutskever
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Quoc V. Le
  8. Yann LeCun
  9. Ross B. Girshick
  10. Jimmy Ba

Who trusts Emanuel Ben-Baruch overall

  1. Stanislav Fort
  2. Yongming Rao
  3. Sachin Mehta
  4. Tal Ridnik
  5. Muhammad Maaz
  6. P. Janson
  7. Onat Dalmaz
  8. Jue Wang
  9. Botao Ye
  10. Jiasen Lu

Papers from Emanuel Ben-Baruch's perspective

Ordered by how strongly the researchers Emanuel Ben-Baruch 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers