Kyle Lacey

Computer Vision and Pattern Recognition · 2023–2025

A researcher in the Science corpus: 3 papers; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kyle Lacey trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Aapo Hyvärinen
  4. Jonathan Ho
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Kaiming He
  8. Tim Salimans
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Kyle Lacey overall

  1. Axel Sauer
  2. Peng Wang

Papers from Kyle Lacey's perspective

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

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

Their papers