Machel Reid

Artificial Intelligence · 2021–2025

A researcher in the Science corpus: 8 papers; trusts 256 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Machel Reid trusts overall

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

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

Who trusts Machel Reid overall

  1. Alexis Ross
  2. Timo Schick
  3. Graham Neubig
  4. Jie Huang
  5. Kumar Shridhar
  6. Jason Wei
  7. Stephanie C. Y. Chan
  8. Tongshuang Sherry Wu
  9. Pan Lu
  10. Wenhu Chen

Papers from Machel Reid's perspective

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

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