Julia E. Vogt

Statistics and Probability · 2012

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Julia E. Vogt trusts overall

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

  1. Robert Tibshirani
  2. Eric R. Ziegel
  3. Francis R. Bach
  4. Berwin A. Turlach
  5. Ming Yuan
  6. Michael R. Osborne
  7. Lukas Meier
  8. Yu Zhang
  9. Mark W. Schmidt
  10. Yi Lin

Who trusts Julia E. Vogt overall

  1. Maria-Florina Balcan
  2. Avrim Blum
  3. Yu Zhang
  4. Santosh Srinivas Vempala

Papers from Julia E. Vogt's perspective

Ordered by how strongly the researchers Julia E. Vogt 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Regression Shrinkage and Selection via the Lasso
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers