Zachary While

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Zachary While trusts overall

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

  1. William L. Hamilton
  2. Yujia Li
  3. Shuran Song
  4. Matthew Fisher
  5. Justin Gilmer
  6. Peter W. Battaglia
  7. Geoffrey E. Hinton
  8. Kristof T. Schütt
  9. Diederik P. Kingma

Who trusts Zachary While overall

  1. Xinpeng Wang

Papers from Zachary While's perspective

Ordered by how strongly the researchers Zachary While 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. Et al
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers