Ashkan Yousefpour

Artificial Intelligence · 2018–2021

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

Subfields

Whom Ashkan Yousefpour trusts overall

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

  1. Alex Krizhevsky
  2. Ilya Mironov
  3. Yann LeCun
  4. Geoffrey E. Hinton
  5. Rongxing Lu
  6. Subhadeep Sarkar
  7. Liang Tong
  8. Kaiming He
  9. Yoshua Bengio
  10. Harshit Gupta

Who trusts Ashkan Yousefpour overall

  1. Liangzhi Li
  2. Cheol-Ho Hong
  3. Vitaly Feldman
  4. Tom Sander
  5. Xuechen Li
  6. Lauren Watson
  7. Nils Lukas
  8. Kaoru Ota
  9. Blesson Varghese
  10. Natalia Ponomareva

Papers from Ashkan Yousefpour's perspective

Ordered by how strongly the researchers Ashkan Yousefpour 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. Learning Multiple Layers of Features from Tiny Images
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  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