Mohammad Malekzadeh

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 32 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Mohammad Malekzadeh trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Pascal Vincent
  5. Alex Krizhevsky
  6. Stan Salvador
  7. Cynthia Dwork
  8. Harrison Edwards
  9. Nitish Srivastava
  10. Martín Abadi

Who trusts Mohammad Malekzadeh overall

  1. Shibo Zhang
  2. Ali Shahin Shamsabadi
  3. Richard G. Clegg
  4. Nitin Agrawal
  5. Yaxuan Li
  6. Andrea Cavallaro
  7. Seyed Ali Osia
  8. Hamed Haddadi
  9. Fatemehsadat Mirshghallah
  10. Dalin Zhang

Papers from Mohammad Malekzadeh's perspective

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

Their papers