Soroosh Yazdani

Computer Vision and Pattern Recognition · 2004–2020

A researcher in the Science corpus: 4 papers; trusts 43 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Soroosh Yazdani trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Alex Krizhevsky
  4. Sara Sabour
  5. Kaiming He
  6. Jimmy Ba
  7. Yoshua Bengio
  8. Yann LeCun
  9. Jordan S. Ellenberg
  10. Ruslan Salakhutdinov

Who trusts Soroosh Yazdani overall

  1. Samir Siksek
  2. Geoffrey E. Hinton

Papers from Soroosh Yazdani's perspective

Ordered by how strongly the researchers Soroosh Yazdani 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers