Michael Pfeiffer

Artificial Intelligence · with Hahnloser · 2018

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Pfeiffer trusts overall

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

  1. Kyunghyun Cho
  2. Ilya Sutskever
  3. Yoshua Bengio
  4. Chin-Yew Lin
  5. Tomas Mikolov
  6. Geoffrey E. Hinton
  7. Dragomir R. Radev
  8. Yann LeCun
  9. Oriol Vinyals
  10. Michael J. Denkowski

Papers from Michael Pfeiffer's perspective

Ordered by how strongly the researchers Michael Pfeiffer 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. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  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