Shaodian Zhang

Artificial Intelligence · 2011–2013

A researcher in the Science corpus: 2 papers; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shaodian Zhang trusts overall

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

  1. Burr Settles
  2. David Yarowsky
  3. Pierre Isabelle
  4. Andrew McCallum
  5. Guodong Zhou
  6. Nigel Collier
  7. Stéphane M. Meystre
  8. Lorraine K. Tanabe
  9. D. Jurafsky
  10. Alexa T. McCray

Who trusts Shaodian Zhang overall

  1. Chenliang Li
  2. Alan Ritter
  3. Vikas Yadav
  4. Edgar Meij
  5. Aixin Sun
  6. Qi Zhang

Papers from Shaodian Zhang's perspective

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

  1. Long Short-Term Memory
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. ImageNet classification with deep convolutional neural networks
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Gradient-based learning applied to document recognition

Their papers