Ning Wang

Artificial Intelligence · with Chen · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ning Wang trusts overall

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

  1. Yoav Goldberg
  2. Jacob Devlin
  3. Quanshi Zhang
  4. Tomas Mikolov
  5. Ashish Vaswani
  6. Yoshua Bengio
  7. Geoffrey E. Hinton
  8. Ilya Sutskever
  9. Shikhar Vashishth
  10. Quoc V. Le

Papers from Ning Wang's perspective

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

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

Their papers