Muhammad Habib Ur Rehman

Computer Networks and Communications · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Muhammad Habib Ur Rehman trusts overall

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

  1. Muthu Dayalan
  2. Geoffrey E. Hinton
  3. J. Urgen Schmidhuber
  4. M. Shamim Hossain
  5. D. Wood
  6. Juan Benet
  7. Honglak Lee
  8. Ray Y. Zhong
  9. Fei Tao
  10. Fariza Hanum Binti Md Nasaruddin

Who trusts Muhammad Habib Ur Rehman overall

  1. Angelos Angelopoulos

Papers from Muhammad Habib Ur Rehman's perspective

Ordered by how strongly the researchers Muhammad Habib Ur Rehman 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. A Fast Learning Algorithm for Deep Belief Nets
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers