Ninglu Shao

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ninglu Shao trusts overall

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

  1. Thorsten Joachims
  2. Steffen Rendle
  3. Tie-Yan Liu
  4. Yehuda Koren

Papers from Ninglu Shao's perspective

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

  1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Long Short-Term Memory
  8. Scaling Laws for Neural Language Models (arXiv.org)
  9. Gradient-based learning applied to document recognition
  10. Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Their papers