V. Kearney

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom V. Kearney trusts overall

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

  1. David G. Lowe
  2. Diederik P. Kingma
  3. Sergey Ioffe
  4. Guorong Wu
  5. Geoffrey E. Hinton
  6. Dinggang Shen
  7. Nitish Srivastava
  8. Benson Mwangi
  9. Jimmy Ba
  10. Christian Szegedy

Who trusts V. Kearney overall

  1. Arvid Lundervold

Papers from V. Kearney's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Gradient-based learning applied to document recognition
  6. Dropout: a simple way to prevent neural networks from overfitting
  7. ImageNet Large Scale Visual Recognition Challenge
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers