Navid Rekabsaz

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 4 papers; trusts 62 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Navid Rekabsaz trusts overall

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

  1. W. Bruce Croft
  2. Tomas Mikolov
  3. Chengxiang Zhai
  4. Hamed Zamani
  5. Adam L. Berger
  6. John D. Lafferty
  7. Geoffrey E. Hinton
  8. Ilya Sutskever
  9. Yoshua Bengio
  10. Jeffrey Pennington

Who trusts Navid Rekabsaz overall

  1. Sebastian Hofstätter
  2. Hamed Zamani
  3. Mostafa Dehghani
  4. Allan Hanbury
  5. David R. Cheriton
  6. Zhuyun Dai
  7. W. Bruce Croft
  8. Carsten Eickhoff
  9. Jimmy J. Lin
  10. Aliaksei Severyn

Papers from Navid Rekabsaz's perspective

Ordered by how strongly the researchers Navid Rekabsaz 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Gradient-based learning applied to document recognition
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers