Peter A. Fasching

Artificial Intelligence · 2012–2022

A researcher in the Science corpus: 11 papers; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Peter A. Fasching trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yann LeCun
  5. Ilya Sutskever
  6. Kyunghyun Cho
  7. Volodymyr Mnih
  8. Dzmitry Bahdanau
  9. Ross B. Girshick
  10. Diederik P. Kingma

Papers from Peter A. Fasching's perspective

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

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

Their papers