Stefan Huber

Computer Vision and Pattern Recognition · with Bauer · 2014

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Stefan Huber trusts overall

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

  1. Christopher K. I. Williams
  2. Chih-Jen Lin
  3. Peter Bubenik
  4. Bernhard Schölkopf
  5. Leslie Greengard
  6. Zhenhua Guo
  7. Philip Shilane
  8. Alex Smola

Who trusts Stefan Huber overall

  1. Primoz Skraba
  2. Christoph Hofer
  3. Nina Otter

Papers from Stefan Huber's perspective

Ordered by how strongly the researchers Stefan Huber 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. LIBSVM: A library for support vector machines
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Learning Multiple Layers of Features from Tiny Images
  6. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers