Hubert Ramsauer

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 6 papers; trusts 269 researchers and is trusted by 298 researchers here, as inferred from the citation graph.

Subfields

Whom Hubert Ramsauer trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Sepp Hochreiter
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Yann LeCun
  7. J. Urgen Schmidhuber
  8. Kaiming He
  9. Ilya Sutskever
  10. Alex Graves

Who trusts Hubert Ramsauer overall

  1. Yang Song
  2. Fei Ye
  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 Hubert Ramsauer's perspective

Ordered by how strongly the researchers Hubert Ramsauer 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. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers