Abubakar Abid

Artificial Intelligence · 2017–2023

A researcher in the Science corpus: 11 papers; trusts 70 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom Abubakar Abid trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Andrew Y. Ng
  4. Yann LeCun
  5. Yoshua Bengio
  6. Christian Szegedy
  7. L. V. D. van der Maaten
  8. Kaiming He
  9. Michael I. Jordan
  10. Diederik P. Kingma

Who trusts Abubakar Abid overall

  1. James L. Cross
  2. Amirata Ghorbani
  3. Liam Magee
  4. Laura Rieger
  5. Aleksandra Piktus
  6. Giulia Vilone
  7. Julius Adebayo
  8. James Y. Zou
  9. Isabel O. Gallegos
  10. Alpha Albert Lee

Papers from Abubakar Abid's perspective

Ordered by how strongly the researchers Abubakar Abid 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers