Linfeng Song

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 6 papers; trusts 385 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Linfeng Song trusts overall

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

  1. Diederik P. Kingma
  2. Ilya Sutskever
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Sepp Hochreiter
  6. Alex Krizhevsky
  7. Jimmy Ba
  8. Dzmitry Bahdanau
  9. Ronald J. Williams
  10. Oriol Vinyals

Who trusts Linfeng Song overall

  1. Vishwajeet Kumar
  2. Shiyue Zhang
  3. Leonardo F. R. Ribeiro
  4. Ying-Hong Chan
  5. Ming Tu
  6. Jifan Chen
  7. Tom Hosking
  8. Mohit Bansal
  9. Hamidreza Shahidi
  10. Freda Shi

Papers from Linfeng Song's perspective

Ordered by how strongly the researchers Linfeng Song 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers