Ning Bian

Artificial Intelligence · 2021

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

Subfields

Whom Ning Bian trusts overall

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

  1. Robin Jia
  2. Jacob Devlin
  3. Danqi Chen
  4. Alec Radford
  5. Percy Liang
  6. Pranav Rajpurkar
  7. Diederik P. Kingma
  8. Geoffrey E. Hinton
  9. Rajat Raina
  10. Yoshua Bengio

Papers from Ning Bian's perspective

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

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