Omid Kashefi

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 79 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Omid Kashefi trusts overall

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

  1. Quoc V. Le
  2. Yoon Kim
  3. George A. Miller
  4. Yann LeCun
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Sosuke Kobayashi
  8. Richard Socher
  9. Tomas Mikolov
  10. Diederik P. Kingma

Who trusts Omid Kashefi overall

  1. Markus Bayer
  2. Marc-André Kaufhold
  3. Christian Reuter

Papers from Omid Kashefi's perspective

Ordered by how strongly the researchers Omid Kashefi 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers