Yaakov Ophir

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yaakov Ophir trusts overall

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

  1. Yonatan Belinkov
  2. Sepp Hochreiter
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. J. Urgen Schmidhuber
  6. D. Shapiro
  7. Ilya Sutskever
  8. Shrey Desai
  9. Diederik P. Kingma
  10. Jesse J. Chandler

Papers from Yaakov Ophir's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  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. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers