Ulf Brefeld

Artificial Intelligence · 2006–2014

A researcher in the Science corpus: 7 papers; trusts 39 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Ulf Brefeld trusts overall

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

  1. Francis R. Bach
  2. Bernhard Schölkopf
  3. Grace Wahba
  4. Olivier Chapelle
  5. Jaka Demsar
  6. Michael I. Jordan
  7. Alex Smola
  8. Alexander Zien
  9. Vladimir Naumovich Vapnik
  10. Geoffrey E. Hinton

Who trusts Ulf Brefeld overall

  1. Zuxuan Wu
  2. Yu-Gang Jiang
  3. Alexander Binder
  4. Karthik Sridharan
  5. Bernhard Schölkopf
  6. Chang Xu
  7. Vikas Sindhwani
  8. Sham M. Kakade
  9. Ilai Bistritz
  10. Keerthiram Murugesan

Papers from Ulf Brefeld's perspective

Ordered by how strongly the researchers Ulf Brefeld 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  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