Laria Reynolds

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 Laria Reynolds trusts overall

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

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

Who trusts Laria Reynolds overall

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

Papers from Laria Reynolds's perspective

Ordered by how strongly the researchers Laria Reynolds 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. Long Short-Term Memory
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Gradient-based learning applied to document recognition

Their papers