Chen Lin

Artificial Intelligence · with Miller · 2012–2017

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chen Lin trusts overall

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

  1. Steven Bethard
  2. Guergana K. Savova
  3. Jeffrey Pennington
  4. Tomas Mikolov
  5. Yoshua Bengio
  6. Nal Kalchbrenner
  7. Yann LeCun
  8. Geoffrey E. Hinton
  9. Ilya Sutskever
  10. Richard Socher

Who trusts Chen Lin overall

  1. Zexian Zeng

Papers from Chen Lin's perspective

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

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

Their papers