Tilman Beck

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tilman Beck trusts overall

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

  1. Jonas Pfeiffer
  2. Sebastian Ruder

Papers from Tilman Beck's perspective

Ordered by how strongly the researchers Tilman Beck 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. Attention is All you Need (Neural Information Processing Systems)
  3. Language Models are Unsupervised Multitask Learners
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Improving Language Understanding by Generative Pre-Training
  9. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  10. ImageNet: A large-scale hierarchical image database

Their papers