Joan Lasenby

Artificial Intelligence · 2000–2023

A researcher in the Science corpus: 5 papers; trusts 101 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Joan Lasenby trusts overall

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

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

Who trusts Joan Lasenby overall

  1. Stephen J. Sangwine
  2. Todd A. Ell
  3. Jiefeng Li

Papers from Joan Lasenby's perspective

Ordered by how strongly the researchers Joan Lasenby 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers