Song Feng

Artificial Intelligence · with Chen · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Song Feng trusts

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

  1. Jimmy Ba (in Artificial Intelligence)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Raquel Urtasun (in Computer Vision and Pattern Recognition)
  4. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  5. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  6. X. Zhang (in Computer Vision and Pattern Recognition)
  7. Diederik P. Kingma (in Artificial Intelligence)

Papers from Song Feng's perspective

Ordered by how strongly the researchers Song Feng 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Layer Normalization
  6. ImageNet classification with deep convolutional neural networks
  7. Gradient-based learning applied to document recognition
  8. Multi-Scale Context Aggregation by Dilated Convolutions
  9. Deep Sparse Rectifier Neural Networks
  10. Learning Multiple Layers of Features from Tiny Images

Their papers