Kehan Chen

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kehan Chen trusts

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

  1. Yoon Kim (in Artificial Intelligence)

Papers from Kehan Chen's perspective

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

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. Prototypical Networks for Few-shot Learning

Their papers