Kyle McDonell

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 5 papers; trusts 21 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Kyle McDonell trusts overall

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

  1. Jacob Devlin
  2. Matt Post
  3. Jiangming Liu
  4. Geoffrey E. Hinton
  5. Ming-Wei Chang
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Ilya Sutskever
  9. Alex Krizhevsky
  10. Alec Radford

Who trusts Kyle McDonell overall

  1. Guohao Li
  2. Jonas Oppenlaender
  3. Jason Wei
  4. Peter West
  5. Nur Muhammad (Mahi) Shafiullah
  6. Max Schäfer
  7. Emily Reif
  8. Yinlin Deng
  9. Hasan Hammoud
  10. Takeshi Kojima

Papers from Kyle McDonell's perspective

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

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

Their papers