Sarah Adel Bargal

Computer Vision and Pattern Recognition · with Gonzalez · 2016–2020

A researcher in the Science corpus: 5 papers; trusts 518 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Sarah Adel Bargal trusts overall

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

  1. Karen Simonyan
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Andrew Zisserman
  5. Kaiming He
  6. Matthew D. Zeiler
  7. Yoshua Bengio
  8. Yann LeCun
  9. Ilya Sutskever
  10. Ross B. Girshick

Who trusts Sarah Adel Bargal overall

  1. Wojciech Samek
  2. Grgoire Montavon
  3. Ruth C. Fong
  4. Tianfu Wu
  5. Soheil Kolouri
  6. Umang Bhatt
  7. Mengnan Du
  8. Sebastian Lapuschkin
  9. Hila Chefer
  10. K. Müller

Papers from Sarah Adel Bargal's perspective

Ordered by how strongly the researchers Sarah Adel Bargal 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. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers