Meredith Whittaker

2017–2021

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Meredith Whittaker trusts overall

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

  1. Alex Krizhevsky
  2. Emily M. Bender

Who trusts Meredith Whittaker overall

  1. Irene Solaiman
  2. Meg Young
  3. David Gray Widder
  4. Harry H. Jiang

Papers from Meredith Whittaker's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜
  3. On the Opportunities and Risks of Foundation Models
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers