Edward W. Ayers

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Edward W. Ayers trusts overall

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

  1. Christian Szegedy
  2. Kshitij Bansal
  3. Markus Norman Rabe
  4. Yuhuai Wu
  5. Ilya Sutskever
  6. Stanislas Polu
  7. Geoffrey E. Hinton
  8. Guillaume Lample
  9. Daniel Whalen
  10. Yoshua Bengio

Who trusts Edward W. Ayers overall

  1. Zhangir Azerbayev
  2. Albert Qiaochu Jiang
  3. Sean Welleck

Papers from Edward W. Ayers's perspective

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

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  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. Language Models are Few-Shot Learners (Neural Information Processing Systems)

Their papers