G. Muhammad

Artificial Intelligence · 2016–2023

A researcher in the Science corpus: 6 papers; trusts 9 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom G. Muhammad trusts overall

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

  1. Robert Leeb
  2. Sergey Ioffe
  3. Benjamin Blankertz
  4. Dzmitry Bahdanau
  5. Yoshua Bengio
  6. Christian Szegedy
  7. Geoffrey E. Hinton
  8. Thang Luong
  9. Clemens Brunner
  10. Kai Keng Ang

Who trusts G. Muhammad overall

  1. Muhammad Habib Ur Rehman
  2. Yan Wang
  3. Billy Pik Lik Lau

Papers from G. Muhammad's perspective

Ordered by how strongly the researchers G. Muhammad trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet: A large-scale hierarchical image database
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers