Kent W. Nixon

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Kent W. Nixon trusts overall

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

  1. Inderjit S. Dhillon
  2. Ulrike von Luxburg
  3. Karen Simonyan

Who trusts Kent W. Nixon overall

  1. Xu Chen

Papers from Kent W. Nixon's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Long Short-Term Memory
  7. Going deeper with convolutions
  8. Learning Multiple Layers of Features from Tiny Images
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. ImageNet: A large-scale hierarchical image database

Their papers