Willem Waegeman

Artificial Intelligence · 2012–2019

A researcher in the Science corpus: 3 papers; trusts 83 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Willem Waegeman trusts overall

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

  1. Radford M. Neal
  2. Alex Graves
  3. Bianca Zadrozny
  4. Glenn Shafer
  5. David John Cameron MacKay
  6. J. Platt
  7. Yann LeCun
  8. Geoffrey E. Hinton
  9. John S. Denker
  10. Mingxing Tan

Who trusts Willem Waegeman overall

  1. Matej Balog

Papers from Willem Waegeman's perspective

Ordered by how strongly the researchers Willem Waegeman 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. Learning Multiple Layers of Features from Tiny Images
  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