Erhardt Barth

Artificial Intelligence · 2010–2020

A researcher in the Science corpus: 6 papers; trusts 103 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom Erhardt Barth trusts overall

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

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

Who trusts Erhardt Barth overall

  1. David R Ha
  2. Jiacheng Xu
  3. Van-Khanh Tran
  4. Shimi Salant
  5. Yuzhou Liu
  6. Yumo Xu

Papers from Erhardt Barth's perspective

Ordered by how strongly the researchers Erhardt Barth 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. ImageNet Large Scale Visual Recognition Challenge
  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