Demin Song

Artificial Intelligence · 2020–2024

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Demin Song trusts overall

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

  1. Dekang Lin
  2. Taku Kudo

Papers from Demin Song's perspective

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

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Long Short-Term Memory
  6. Explaining and Harnessing Adversarial Examples
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Neural Machine Translation of Rare Words with Subword Units
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Gradient-based learning applied to document recognition

Their papers