Ming Tu

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ming Tu trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Jacob Devlin
  5. Richard Socher
  6. Christopher D. Manning
  7. Ilya Sutskever
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Max Welling

Who trusts Ming Tu overall

  1. Iz Beltagy
  2. Tushar Khot
  3. Harsh Trivedi
  4. Weiwen Xu
  5. Matthew E. Peters
  6. Bo Li
  7. Arman Cohan
  8. Ashish Sabharwal

Papers from Ming Tu's perspective

Ordered by how strongly the researchers Ming Tu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  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