Gerold Hintz

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 Gerold Hintz trusts overall

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

  1. Michael Elhadad

Papers from Gerold Hintz's perspective

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

  1. Language Models are Unsupervised Multitask Learners
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Long Short-Term Memory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  6. ImageNet classification with deep convolutional neural networks
  7. Bleu: a Method for Automatic Evaluation of Machine Translation
  8. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers