Muhammad Aqib Javed

Statistical and Nonlinear Physics · 2018

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Muhammad Aqib Javed trusts overall

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

  1. Mark Newman
  2. Santo Fortunato
  3. Andrea Lancichinetti
  4. Steve Gregory
  5. Jaewon Yang
  6. Pan Hui
  7. Marina Meila
  8. Michelle Girvan

Papers from Muhammad Aqib Javed's perspective

Ordered by how strongly the researchers Muhammad Aqib Javed 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. Community structure in social and biological networks (Proceedings of the National Academy of Sciences of the United States of America)
  5. Gradient-based learning applied to document recognition
  6. Collective dynamics of ‘small-world’ networks
  7. Learning Multiple Layers of Features from Tiny Images
  8. Long Short-Term Memory
  9. Going deeper with convolutions
  10. ImageNet: A large-scale hierarchical image database

Their papers