Arash Heidari

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Arash Heidari trusts overall

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

  1. Robert Mitchell
  2. Hosam Al-Samarraie
  3. Geoffrey E. Hinton
  4. David Guera
  5. Yisroel Mirsky
  6. Bruno Bogaz Zarpelão
  7. Mojtaba Eskandari
  8. Junyoung Chung
  9. Ing-Ray Chen
  10. Rubén Tolosana

Papers from Arash Heidari's perspective

Ordered by how strongly the researchers Arash Heidari 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. GENERATIVE ADVERSARIAL NETS
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers