Michael Schröder

Artificial Intelligence · with Althammer · 2020

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Schröder trusts overall

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

  1. Sebastian Hofstätter
  2. Zhuyun Dai
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Sean MacAvaney
  6. C. Burges
  7. Luyu Gao
  8. Bhaskar Mitra
  9. Jamie Callan
  10. Jacob Devlin

Who trusts Michael Schröder overall

  1. Sheng-Chieh Lin
  2. Sebastian Hofstätter
  3. Jimmy J. Lin
  4. Jheng-Hong Yang

Papers from Michael Schröder's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Long Short-Term Memory
  7. Distilling the Knowledge in a Neural Network (arXiv.org)
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers