Muhammad Fazal Ijaz

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Muhammad Fazal Ijaz trusts overall

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

  1. Karen Simonyan
  2. Kaiming He
  3. Andrew Zisserman
  4. Christian Szegedy
  5. Balázs Harangi
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Diederik P. Kingma
  10. Sergey Ioffe

Papers from Muhammad Fazal Ijaz's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Long Short-Term Memory

Their papers