Thomas Friedrichs

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Friedrichs trusts

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

  1. Jason Aaron Edward Weston (in Artificial Intelligence)
  2. Yoshua Bengio (in Artificial Intelligence)
  3. Maxine Eskénazi (in Artificial Intelligence)
  4. Shikib Mehri (in Artificial Intelligence)
  5. Diederik P. Kingma (in Artificial Intelligence)
  6. Stephen Roller (in Artificial Intelligence)
  7. Salim Roukos (in Artificial Intelligence)
  8. Tomás Ward (in Artificial Intelligence)

Papers from Thomas Friedrichs's perspective

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

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

Their papers