Peiyang Song

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 Peiyang Song trusts

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

  1. Stanislas Polu (in Artificial Intelligence)
  2. Ilya Sutskever (in Artificial Intelligence)

Papers from Peiyang Song's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Decoupled Weight Decay Regularization
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Measuring Mathematical Problem Solving With the MATH Dataset
  9. Gradient-based learning applied to document recognition
  10. Evaluating Large Language Models Trained on Code (arXiv.org)

Their papers