Bernhard Nessler

Computer Vision and Pattern Recognition · 2011–2017

A researcher in the Science corpus: 5 papers; trusts 215 researchers and is trusted by 309 researchers here, as inferred from the citation graph.

Subfields

Whom Bernhard Nessler trusts overall

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

  1. Geoffrey E. Hinton
  2. Radford M. Neal
  3. Yann LeCun
  4. Sepp Hochreiter
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Alex Krizhevsky
  8. Michael I. Jordan
  9. Ian J. Goodfellow
  10. Ilya Sutskever

Who trusts Bernhard Nessler overall

  1. Wolfgang Maass
  2. Yang Song
  3. Fei Ye
  4. Yoshua Bengio
  5. Ting-Li Chen
  6. Tero Karras
  7. Yilun Du
  8. Danilo Jimenez Rezende
  9. Stefano Ermon
  10. Jonathan Ho

Papers from Bernhard Nessler's perspective

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

Their papers