Siavash Golkar

Artificial Intelligence · 2012–2019

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Siavash Golkar trusts overall

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

  1. R. M. French
  2. Xavier Glorot
  3. R. Káradóttir
  4. Nabamita Banerjee
  5. Yann LeCun
  6. Yoshua Bengio
  7. Trevor Gale
  8. Jian-Hao Luo
  9. Geoffrey E. Hinton
  10. Hengyuan Hu

Who trusts Siavash Golkar overall

  1. Arthur Douillard
  2. Sangwon Jung
  3. K. Landsteiner
  4. Pengfei Yu
  5. Abhishek Kumar
  6. Vinay Venkatesh Ramasesh
  7. Magdalena Biesialska
  8. R'obert Csord'as
  9. Hongjoon Ahn
  10. Siddharth Swaroop

Papers from Siavash Golkar's perspective

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

Their papers