Paul Hand

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 112 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Paul Hand trusts overall

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

  1. E.J. Candes
  2. David L. Donoho
  3. Diederik P. Kingma
  4. B. Recht
  5. Geoffrey E. Hinton
  6. Oren Rippel
  7. Richard Baraniuk
  8. Sanjeev Arora
  9. Alex Krizhevsky
  10. Christian Szegedy

Who trusts Paul Hand overall

  1. Reinhard Heckel
  2. Ajil Jalal
  3. Qi Lei
  4. Fangchang Ma
  5. Giannis Daras
  6. A. Dimakis
  7. Aviad Aberdam
  8. Ulas Ayaz
  9. Yunpeng Chen
  10. Inderjit S. Dhillon

Papers from Paul Hand's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. GENERATIVE ADVERSARIAL NETS

Their papers