L. Yu

Artificial Intelligence · with Zettlemoyer · 2012–2023

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom L. Yu trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. Yoshua Bengio
  5. Alec Radford
  6. Alex Krizhevsky
  7. Aäron van den Oord
  8. Kaiming He
  9. Quoc V. Le
  10. Jimmy Ba

Who trusts L. Yu overall

  1. Kaiyu Yang
  2. Dongchao Yang
  3. Saptarshi Das

Papers from L. Yu's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers