Parsa Ghaffari

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 42 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Parsa Ghaffari trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoon Kim
  3. Yoshua Bengio
  4. Matthew D. Zeiler
  5. John Blitzer
  6. Diederik P. Kingma
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Ilya Sutskever
  10. Richard Socher

Who trusts Parsa Ghaffari overall

  1. Tom Young
  2. Praveen Dakwale
  3. Lin Wang
  4. Wei Xue
  5. Devamanyu Hazarika
  6. H. H. Do

Papers from Parsa Ghaffari's perspective

Ordered by how strongly the researchers Parsa Ghaffari 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. 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