Mohammad Alizadeh

Computer Networks and Communications · 2010–2020

A researcher in the Science corpus: 15 papers; trusts 73 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Mohammad Alizadeh trusts overall

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

  1. Richard S. Sutton
  2. Mohammad Al-Fares
  3. Srikanth Kandula
  4. Albert G. Greenberg
  5. Volodymyr Mnih
  6. Radford M. Neal
  7. Geoffrey E. Hinton
  8. C. Hong
  9. Ronald J. Williams
  10. Yoshua Bengio

Who trusts Mohammad Alizadeh overall

  1. Behnam Montazeri
  2. Mosharaf Chowdhury
  3. Anirudh Sivaraman
  4. Venkat Arun
  5. Yuliang Li
  6. Hari Balakrishnan
  7. Li Chen
  8. Advait Abhay Dixit
  9. Hongzi Mao
  10. Nandita Dukkipati

Papers from Mohammad Alizadeh's perspective

Ordered by how strongly the researchers Mohammad Alizadeh 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers