Jilin Chen

Artificial Intelligence · with Chi · 2017–2020

A researcher in the Science corpus: 8 papers; trusts 42 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Jilin Chen trusts overall

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

  1. Moritz Hardt
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. R. Caruana
  7. Alex Beutel
  8. Ilya Sutskever
  9. Kaiming He
  10. Yann LeCun

Who trusts Jilin Chen overall

  1. Zhe Zhao
  2. Flavien Prost
  3. Dana Pessach
  4. Alex Beutel
  5. Luca Oneto
  6. James R. Foulds
  7. Yanai Elazar
  8. Enyan Dai
  9. Lucas Dixon
  10. Christina Wadsworth

Papers from Jilin Chen's perspective

Ordered by how strongly the researchers Jilin 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Learning Multiple Layers of Features from Tiny Images
  10. GENERATIVE ADVERSARIAL NETS

Their papers