Berlin Chen

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 35 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Berlin Chen trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Yonatan Belinkov
  5. Ilya Sutskever
  6. Sepp Hochreiter
  7. Tomas Mikolov
  8. Richard Socher
  9. Alex Krizhevsky
  10. Alec Radford

Who trusts Berlin Chen overall

  1. Yonatan Belinkov
  2. Yada Pruksachatkun

Papers from Berlin Chen's perspective

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

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