Martin Heusel

Computer Vision and Pattern Recognition · 2007–2017

A researcher in the Science corpus: 5 papers; trusts 187 researchers and is trusted by 306 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Heusel trusts overall

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

  1. Sepp Hochreiter
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Ian J. Goodfellow
  7. Vivek Shripad Borkar
  8. Boris Polyak
  9. J. Urgen Schmidhuber
  10. Vijay R. Konda

Who trusts Martin Heusel overall

  1. Fei Ye
  2. Yang Song
  3. Ting-Li Chen
  4. Tero Karras
  5. Yilun Du
  6. Yoshua Bengio
  7. Stefano Ermon
  8. Richard Zhang
  9. Jonathan Ho
  10. Jun-Yan Zhu

Papers from Martin Heusel's perspective

Ordered by how strongly the researchers Martin Heusel 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers