Laura Weidinger

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 7 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Laura Weidinger trusts overall

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

  1. Alec Radford
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Ilya Sutskever
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Kaiming He
  9. Alex Graves
  10. Jimmy Ba

Who trusts Laura Weidinger overall

  1. Badhan Chandra Das
  2. Esin Durmus
  3. Irene Solaiman
  4. M. Amini
  5. Xuandong Zhao
  6. Shrimai Prabhumoye
  7. Collin Burns
  8. Maurice Jakesch
  9. Tyna Eloundou
  10. Arka Pal

Papers from Laura Weidinger's perspective

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

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

Their papers