Keivan Alizadeh-Vahid

Artificial Intelligence · 2020–2025

A researcher in the Science corpus: 5 papers; trusts 380 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Keivan Alizadeh-Vahid trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Ross B. Girshick
  8. Ilya Sutskever
  9. Karen Simonyan
  10. Quoc V. Le

Papers from Keivan Alizadeh-Vahid's perspective

Ordered by how strongly the researchers Keivan Alizadeh-Vahid 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers