Beat Gfeller

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Beat Gfeller trusts overall

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

  1. Pete Warden
  2. Dan Stowell
  3. Tomas Mikolov
  4. Geoffrey E. Hinton
  5. Andrew Zisserman
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. Kaiming He
  9. Jonathan Frankle
  10. Andrew G. Howard

Who trusts Beat Gfeller overall

  1. Aaqib Saeed

Papers from Beat Gfeller's perspective

Ordered by how strongly the researchers Beat Gfeller 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. ImageNet: A large-scale hierarchical image database
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  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