Tobias Bieschke

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tobias Bieschke trusts overall

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

  1. Diederik P. Kingma
  2. Ilya Sutskever
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Matthew G. Snover
  6. Alex Graves
  7. Dzmitry Bahdanau
  8. Jimmy Ba
  9. Ralf Schlüter
  10. Rico Sennrich

Who trusts Tobias Bieschke overall

  1. Hirofumi Inaguma

Papers from Tobias Bieschke's perspective

Ordered by how strongly the researchers Tobias Bieschke trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. ImageNet: A large-scale hierarchical image database

Their papers