Guofeng Chen

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Guofeng Chen trusts overall

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

  1. Andrew Y. Ng
  2. Geoffrey E. Hinton
  3. Sergey Ioffe
  4. Jean-Pierre Kruth
  5. Anoop Kumar Sood
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Nitish Srivastava
  9. Diederik P. Kingma
  10. Christian Szegedy

Papers from Guofeng Chen's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. ImageNet: A large-scale hierarchical image database
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Dropout: a simple way to prevent neural networks from overfitting

Their papers