Madeleine Grunde-McLaughlin

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 269 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Madeleine Grunde-McLaughlin trusts overall

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

  1. Justin Johnson
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Alex Krizhevsky
  5. Li Fei-Fei
  6. Yoshua Bengio
  7. Drew A. Hudson
  8. Diederik P. Kingma
  9. Ross B. Girshick
  10. Ilya Sutskever

Who trusts Madeleine Grunde-McLaughlin overall

  1. Bo Wu
  2. Yushi Hu

Papers from Madeleine Grunde-McLaughlin's perspective

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

Their papers