Thomas Otto Friedrich Wagner

Artificial Intelligence · 2020

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

Subfields

Whom Thomas Otto Friedrich Wagner trusts

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

  1. Kyunghyun Cho (in Artificial Intelligence)

Papers from Thomas Otto Friedrich Wagner's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  4. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  5. ImageNet classification with deep convolutional neural networks
  6. GloVe: Global Vectors for Word Representation
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Gradient-based learning applied to document recognition

Their papers