Jiangtao Feng

Artificial Intelligence · with Li · 2020–2022

A researcher in the Science corpus: 4 papers; trusts 125 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jiangtao Feng trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Alex Krizhevsky
  6. Jimmy Ba
  7. Kyunghyun Cho
  8. Yann LeCun
  9. Ashish Vaswani
  10. Alex Graves

Papers from Jiangtao Feng's perspective

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

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