Michael D. Flynn

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 5 papers; trusts 83 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Michael D. Flynn trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Graves
  4. Alireza Fathi
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Jaka Demsar
  8. Leo Breiman
  9. Kaiming He
  10. Marco Cuturi

Who trusts Michael D. Flynn overall

  1. Daochang Liu
  2. Matthew Maciejewski
  3. Yazan Abu Farha
  4. Gordon Wichern
  5. Alexander Richard
  6. Li Ding
  7. Yi Luo
  8. Tae Soo Kim
  9. Hao Xue
  10. Yunhao Zhang

Papers from Michael D. Flynn's perspective

Ordered by how strongly the researchers Michael D. Flynn trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers