Vincent Verdult

2001–2007

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Vincent Verdult trusts overall

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

  1. Yuhai Wu
  2. Rohan Shah
  3. Bernhard Schölkopf
  4. Francis R. Bach
  5. Alex Smola
  6. Michael I. Jordan
  7. Colin Fyfe

Who trusts Vincent Verdult overall

  1. Yoshinobu Kawahara
  2. Jonathan Kelly
  3. Takehisa Yairi
  4. G. Sukhatme

Papers from Vincent Verdult's perspective

Ordered by how strongly the researchers Vincent Verdult 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. Learning Multiple Layers of Features from Tiny Images
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers