Tayler H. Hetherington

Computer Vision and Pattern Recognition · 2013–2023

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tayler H. Hetherington trusts overall

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

  1. Alex Krizhevsky
  2. Yoshua Bengio
  3. Matthieu Courbariaux
  4. Yann LeCun
  5. Geoffrey E. Hinton
  6. Sunpyo Hong
  7. Kyuyeon Hwang
  8. Wilson W. L. Fung
  9. Ilya Sutskever
  10. Christian Szegedy

Who trusts Tayler H. Hetherington overall

  1. Miyuru Dayarathna

Papers from Tayler H. Hetherington's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Going deeper with convolutions
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Long Short-Term Memory
  7. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers