Yunbo Rao

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yunbo Rao trusts overall

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

  1. Tomas Mikolov
  2. Jeffrey Pennington
  3. Sunipa Dev
  4. Tolga Bolukbasi
  5. Armand Joulin
  6. Anna Rogers
  7. Ilya Sutskever
  8. Richard Socher

Papers from Yunbo Rao's perspective

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

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

Their papers