T. Konstantin Rusch

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom T. Konstantin Rusch trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Yann LeCun
  5. Tomas Mikolov
  6. Sepp Hochreiter
  7. J. Urgen Schmidhuber
  8. Christian Kuehn
  9. Diederik P. Kingma
  10. Razvan Pascanu

Who trusts T. Konstantin Rusch overall

  1. Yanqing Liu
  2. Rui Xue

Papers from T. Konstantin Rusch's perspective

Ordered by how strongly the researchers T. Konstantin Rusch 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  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