Yi Zhu

Artificial Intelligence · with Filipov · 2022

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yi Zhu trusts overall

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

  1. J. Ross Quinlan
  2. Niko Speybroeck
  3. Dimitris J. Bertsimas
  4. Xiaoping Zhou
  5. Cynthia Rudin
  6. Levi H. Dudte
  7. Jimmy J. Lin
  8. Jack Dunn
  9. Igor Kononenko
  10. Lars Buitinck

Papers from Yi Zhu's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Deep Learning
  7. Classification and regression trees
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Regression Shrinkage and Selection via the Lasso
  10. Gradient-based learning applied to document recognition

Their papers