Aaqib Saeed

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 229 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Aaqib Saeed trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Jimmy Ba
  4. Alex Krizhevsky
  5. Kaiming He
  6. Yoshua Bengio
  7. Karen Simonyan
  8. Andrew Zisserman
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Aaqib Saeed overall

  1. Pritam Sarkar
  2. Soham Deshmukh
  3. Sanyuan Chen
  4. Guanglei Yang
  5. Eduardo Fonseca
  6. Ali Etemad
  7. Dan Stowell
  8. Benjamin Elizalde
  9. Yu Wu

Papers from Aaqib Saeed's perspective

Ordered by how strongly the researchers Aaqib Saeed 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. 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. Going deeper with convolutions

Their papers