Tobias Schaeffter

Artificial Intelligence · 2007–2020

A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tobias Schaeffter trusts overall

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

  1. Sepp Hochreiter
  2. Ilya Loshchilov
  3. Sergey Zagoruyko
  4. Geoffrey E. Hinton
  5. Jeremy Howard
  6. Yoshua Bengio
  7. Zhicheng Cui
  8. J. Urgen Schmidhuber

Who trusts Tobias Schaeffter overall

  1. Li Feng
  2. Michael S. Hansen

Papers from Tobias Schaeffter's perspective

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

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers