Yan Fu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yan Fu trusts

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

  1. Ronald J. Williams (in Reinforcement Learning)
  2. Geoffrey E. Hinton (in Artificial Intelligence)
  3. Yoshua Bengio (in Artificial Intelligence)
  4. Oriol Vinyals (in Artificial Intelligence)

Papers from Yan Fu's perspective

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

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. Distilling the Knowledge in a Neural Network (arXiv.org)
  3. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  4. Curriculum learning
  5. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. ImageNet classification with deep convolutional neural networks
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank

Their papers