Vera Demberg

Natural Language Processing · with Wang · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Vera Demberg trusts overall

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

  1. Mikel Artetxe
  2. Sepp Hochreiter

Papers from Vera Demberg's perspective

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

  1. Long Short-Term Memory
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Language Models are Unsupervised Multitask Learners
  4. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet classification with deep convolutional neural networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Gradient-based learning applied to document recognition

Their papers