Scott Yih

Artificial Intelligence · 2015–2023

A researcher in the Science corpus: 6 papers; trusts 51 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Scott Yih trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Sepp Hochreiter
  6. Alex Krizhevsky
  7. Alec Radford
  8. Yann LeCun
  9. Mandar Joshi
  10. Kaiming He

Who trusts Scott Yih overall

  1. Yejin Choi
  2. Chandra Bhagavatula
  3. Ankit Gupta

Papers from Scott Yih's perspective

Ordered by how strongly the researchers Scott Yih 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  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