Min Tang

Artificial Intelligence · with Chen · 2019–2023

A researcher in the Science corpus: 3 papers; trusts 22 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Min Tang trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Jimmy Ba
  6. Ilya Sutskever
  7. Nitish Srivastava
  8. Alex Graves
  9. Ruslan Salakhutdinov
  10. Yann LeCun

Who trusts Min Tang overall

  1. Rui Cao
  2. Kai Sun
  3. Roy Ka-Wei Lee
  4. Dian Yu

Papers from Min Tang's perspective

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

Their papers