Taylor Mordan

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 253 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Taylor Mordan trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Yann LeCun
  6. Yoshua Bengio
  7. Karen Simonyan
  8. Andrew Zisserman
  9. Shaoqing Ren
  10. Diederik P. Kingma

Who trusts Taylor Mordan overall

  1. Weifeng Ge
  2. Suo Qiu
  3. Mickaël Chen
  4. Shiyi Lan
  5. Dingwen Zhang
  6. Luchen Liu
  7. Rémi Cadène
  8. Xiang Wang

Papers from Taylor Mordan's perspective

Ordered by how strongly the researchers Taylor Mordan 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers