Vahid Behzadan

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Vahid Behzadan trusts overall

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

  1. Nicolas Papernot
  2. Ian J. Goodfellow
  3. Patrick Drew McDaniel
  4. Christian Szegedy
  5. Richard S. Sutton
  6. Geoffrey E. Hinton
  7. Volodymyr Mnih
  8. Alex Krizhevsky
  9. Somesh Jha
  10. Yann LeCun

Who trusts Vahid Behzadan overall

  1. Ramitha Sundar
  2. Nicholas Carlini
  3. Nicolas Papernot
  4. Jack Clark
  5. Thanh Thi Nguyen
  6. A. Serban
  7. Jacob Steinhardt
  8. Florian Tramèr
  9. Chaoyun Zhang
  10. Naveed Akhtar

Papers from Vahid Behzadan's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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