Raefer Gabriel

Natural Language Processing · 2018–2023

A researcher in the Science corpus: 11 papers; trusts 40 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Raefer Gabriel trusts overall

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

  1. Chandra Khatri
  2. Ilya Sutskever
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Oriol Vinyals
  6. Alex Graves
  7. Diederik P. Kingma
  8. Jacob Devlin
  9. Sepp Hochreiter
  10. Anu Venkatesh

Who trusts Raefer Gabriel overall

  1. Shikib Mehri

Papers from Raefer Gabriel's perspective

Ordered by how strongly the researchers Raefer Gabriel trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers