Thijs Vogels

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Thijs Vogels trusts overall

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

  1. G. Stewart
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Kaiming He
  8. Peter Arbenz
  9. Jeremy Bernstein
  10. Sebastian U. Stich

Who trusts Thijs Vogels overall

  1. Cong Xie
  2. Samuel Horváth
  3. Aditya Ramesh
  4. Jianyu Wang
  5. Chen-Yu Ho
  6. Shuai Zheng

Papers from Thijs Vogels's perspective

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

Their papers