Fabian Triefenbach

Artificial Intelligence · 2013–2022

A researcher in the Science corpus: 3 papers; trusts 39 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Fabian Triefenbach trusts overall

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

  1. Geoffrey E. Hinton
  2. Abdel-rahman Mohamed
  3. Ronald J. Williams
  4. Paul J. Werbos
  5. Kai-Fu Lee
  6. Li Deng
  7. Lawrence R. Rabiner
  8. Dong Yu
  9. Yoshua Bengio
  10. George E. Dahl

Who trusts Fabian Triefenbach overall

  1. Li Deng
  2. Kris Demuynck
  3. Dong Yu

Papers from Fabian Triefenbach's perspective

Ordered by how strongly the researchers Fabian Triefenbach 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. Long Short-Term Memory
  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. Learning Multiple Layers of Features from Tiny Images
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers