Christian Plahl

Artificial Intelligence · 2010–2012

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Christian Plahl trusts overall

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

  1. Frantisek Grézl
  2. Abdel-rahman Mohamed
  3. Marc'Aurelio Ranzato
  4. Geoffrey E. Hinton
  5. Frank Torsten Bernd Seide
  6. Dong Yu
  7. Tara N. Sainath
  8. Petr Fousek
  9. Yann LeCun
  10. Li Deng

Who trusts Christian Plahl overall

  1. Dong Yu
  2. Li Deng
  3. Anton Ragni
  4. Geoffrey E. Hinton
  5. Matthew D. Zeiler
  6. M. Seltzer
  7. Jia Cui
  8. László Tóth
  9. K. Knill
  10. Yoshua Bengio

Papers from Christian Plahl's perspective

Ordered by how strongly the researchers Christian Plahl 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers