Feichen Shen

Artificial Intelligence · 2017–2019

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

Subfields

Whom Feichen Shen trusts overall

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

  1. Tomas Mikolov

Papers from Feichen Shen's perspective

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

  1. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  2. ImageNet classification with deep convolutional neural networks
  3. GloVe: Global Vectors for Word Representation
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Long Short-Term Memory
  6. Natural Language Processing (Almost) from Scratch
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Visualizing Data using t-SNE

Their papers