Irene Solaiman

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 5 papers; trusts 111 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Irene Solaiman trusts overall

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

  1. Emily M. Bender
  2. Toby Shevlane
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Sebastian Gehrmann
  7. Alex Krizhevsky
  8. Ilya Sutskever
  9. Kaiming He
  10. Yann LeCun

Who trusts Irene Solaiman overall

  1. Alexander Wei
  2. Maribeth Rauh
  3. Laura Weidinger
  4. Dongyoung Go
  5. Ann Yuan
  6. Daphne Ippolito
  7. Jason Wei
  8. Xiaohan Xu
  9. Po-Sen Huang
  10. Emily Dinan

Papers from Irene Solaiman's perspective

Ordered by how strongly the researchers Irene Solaiman 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  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 Unsupervised Multitask Learners

Their papers