Jiang Liu

Artificial Intelligence · with Li · 2021

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jiang Liu trusts overall

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

  1. Yoon Kim

Papers from Jiang Liu's perspective

Ordered by how strongly the researchers Jiang Liu 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. ImageNet classification with deep convolutional neural networks
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Natural Language Processing (Almost) from Scratch
  9. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers