Christian Voigt

Artificial Intelligence · with Betz · 2021

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Christian Voigt trusts overall

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

  1. Alon Talmor
  2. Geoffrey E. Hinton
  3. Peter Clark
  4. Alec Radford
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Diederik P. Kingma
  8. Nils Reimers
  9. Nora Kassner
  10. Kyle Richardson

Papers from Christian Voigt's perspective

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

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

Their papers