Xin Shen

Artificial Intelligence · with Li · 2023

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xin Shen trusts

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

  1. Julian McAuley (in Artificial Intelligence)
  2. Jimmy Ba (in Artificial Intelligence)
  3. Geoffrey E. Hinton (in Artificial Intelligence)

Papers from Xin Shen's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Layer Normalization
  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. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  9. Improving Language Understanding by Generative Pre-Training
  10. Gradient-based learning applied to document recognition

Their papers