Jennifer G. Dy

Artificial Intelligence · with Wang · 2013–2022

A researcher in the Science corpus: 6 papers; trusts 205 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jennifer G. Dy trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yann LeCun
  5. Yoshua Bengio
  6. Kaiming He
  7. Ilya Sutskever
  8. Ross B. Girshick
  9. Jimmy Ba
  10. Marc'Aurelio Ranzato

Papers from Jennifer G. Dy's perspective

Ordered by how strongly the researchers Jennifer G. Dy 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers