Carole-Jean Wu

Artificial Intelligence · 2011–2022

A researcher in the Science corpus: 33 papers; trusts 585 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Carole-Jean Wu trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yann LeCun
  5. Quoc V. Le
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Barret Zoph
  9. Ilya Sutskever
  10. Ross B. Girshick

Who trusts Carole-Jean Wu overall

  1. Young Geun Kim
  2. Udit Gupta
  3. Bilge Acun
  4. Roberto Verdecchia
  5. Akhil Arunkumar
  6. Vivek Seshadri
  7. Geet Sethi
  8. Onur Mutlu
  9. Jesse Dodge
  10. Chunxing Yin

Papers from Carole-Jean Wu's perspective

Ordered by how strongly the researchers Carole-Jean Wu 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers