Kyle Mahowald

Artificial Intelligence · 2015–2022

A researcher in the Science corpus: 5 papers; trusts 23 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Kyle Mahowald trusts overall

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

  1. W. Viechtbauer
  2. Geoff Cumming
  3. Edward Gibson
  4. Martin J. Pickering
  5. Mark Lipsey
  6. Dale J. Barr
  7. Alexandra A. Cleland
  8. Jon Sprouse
  9. Jey Han Lau
  10. Douglas M. Bates

Who trusts Kyle Mahowald overall

  1. Rajakrishnan Rajkumar

Papers from Kyle Mahowald's perspective

Ordered by how strongly the researchers Kyle Mahowald 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Bleu: a Method for Automatic Evaluation of Machine Translation
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Gradient-based learning applied to document recognition

Their papers