Debora Weber-Wulff

Artificial Intelligence · 2023

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 Debora Weber-Wulff trusts overall

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

  1. R. Rosenfeld
  2. Tomas Mikolov
  3. Kalpesh Krishna
  4. Ashish Vaswani
  5. Ali Borji

Papers from Debora Weber-Wulff's perspective

Ordered by how strongly the researchers Debora Weber-Wulff trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Efficient Estimation of Word Representations in Vector Space
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers