Stephanie C. Lin

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Stephanie C. Lin trusts overall

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

  1. Chin-Yew Lin
  2. Geoffrey E. Hinton
  3. Dan Hendrycks
  4. Gabriella Csurka
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Alex Krizhevsky
  8. Ilya Sutskever
  9. Kaiming He
  10. Yann LeCun

Who trusts Stephanie C. Lin overall

  1. Lorenz Kuhn
  2. Satyapriya Krishna
  3. Qi Liu
  4. Yuanshun Yao
  5. Ethan Perez
  6. Ruibo Liu
  7. Mengzhou Xia
  8. Chenglei Si
  9. J'er'emy Scheurer
  10. Terry Yue Zhuo

Papers from Stephanie C. Lin's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers