Carrie J. Cai

Artificial Intelligence · 2014–2023

A researcher in the Science corpus: 15 papers; trusts 89 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Carrie J. Cai trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Been Kim
  4. Alex Krizhevsky
  5. Ilya Sutskever
  6. Diederik P. Kingma
  7. Maryellen Lissak Giger
  8. Yann LeCun
  9. Christian Szegedy
  10. Kaiming He

Who trusts Carrie J. Cai overall

  1. Tongshuang Sherry Wu
  2. Michael Terry
  3. Vivian Lai
  4. Alicia Parrish
  5. Q. Liao
  6. Joon Sung Park
  7. Harmanpreet Kaur
  8. Anna Markella Antoniadi
  9. Man Luo
  10. Mihir Parmar

Papers from Carrie J. Cai's perspective

Ordered by how strongly the researchers Carrie J. Cai 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Going deeper with convolutions

Their papers