Turab Iqbal

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 48 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Turab Iqbal trusts overall

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

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

Who trusts Turab Iqbal overall

  1. Eduardo Fonseca
  2. Xavier Favory

Papers from Turab Iqbal's perspective

Ordered by how strongly the researchers Turab Iqbal 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers