Nanxin Chen

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 9 papers; trusts 123 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Nanxin Chen trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Kaiming He
  6. Alex Graves
  7. Ilya Sutskever
  8. Yann LeCun
  9. Karen Simonyan
  10. Yang Song

Who trusts Nanxin Chen overall

  1. Jonathan Ho
  2. Chitwan Saharia
  3. Heeseung Kim
  4. William Chan
  5. Yang Song
  6. Xu Tan
  7. Sang-gil Lee
  8. Diederik P. Kingma
  9. Arash Vahdat
  10. Mohammad Norouzi

Papers from Nanxin Chen's perspective

Ordered by how strongly the researchers Nanxin Chen 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers