Annie S. Chen

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Annie S. Chen trusts overall

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

  1. Kaiming He
  2. Sergey Ioffe
  3. Shiori Sagawa
  4. Geoffrey E. Hinton
  5. Christian Szegedy
  6. Alex Krizhevsky
  7. Diederik P. Kingma
  8. Yoshua Bengio
  9. Yann LeCun
  10. John C. Duchi

Papers from Annie S. Chen's perspective

Ordered by how strongly the researchers Annie S. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. ImageNet: A large-scale hierarchical image database
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers