Mike Yurick

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mike Yurick trusts overall

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

  1. Vincent Dumoulin
  2. Alla Safonova
  3. Jianyuan Min
  4. Julieta Martinez
  5. Emad Barsoum
  6. Jinxiang Chai
  7. Katerina Fragkiadaki
  8. Ashish Vaswani
  9. Keith Grochow
  10. Geoffrey E. Hinton

Papers from Mike Yurick's perspective

Ordered by how strongly the researchers Mike Yurick 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. GENERATIVE ADVERSARIAL NETS
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers