Song Mei

Artificial Intelligence · with Zhang · 2024–2025

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Song Mei trusts overall

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

  1. Chin-Yew Lin

Papers from Song Mei's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Language Models are Few-Shot Learners (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. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. PyTorch: An Imperative Style, High-Performance Deep Learning Library
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers