Emanuel Ben Baruch

Computer Vision and Pattern Recognition · with Friedman · 2020

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 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. Kaiming He
  2. Alex Krizhevsky
  3. Tsung-Yi Lin
  4. Geoffrey E. Hinton
  5. Ross B. Girshick
  6. Peter L. Bartlett
  7. Yoshua Bengio
  8. X. Zhang
  9. Yann LeCun
  10. Shaoqing Ren

Who trusts Emanuel Ben Baruch overall

  1. Tal Ridnik
  2. Yigong Wang
  3. Sangdoo Yun
  4. Shoufa Chen
  5. Zhiyuan Fang
  6. Youcai Zhang

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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers