Jamin Chen

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Jamin Chen trusts overall

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

  1. Alec Radford
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Ilya Sutskever
  6. Alex Krizhevsky
  7. Dzmitry Bahdanau
  8. Rowan Zellers
  9. Yann LeCun
  10. Kaiming He

Who trusts Jamin Chen overall

  1. Bill Yuchen Lin
  2. Michihiro Yasunaga

Papers from Jamin Chen's perspective

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

Their papers