Amandalynne Paullada

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 49 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Amandalynne Paullada trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Emily M. Bender
  6. Kaiming He
  7. Ilya Sutskever
  8. Yann LeCun
  9. Jia Deng
  10. Matt Gardner

Who trusts Amandalynne Paullada overall

  1. Emily L. Denton
  2. Alexandra Sasha Luccioni
  3. Sarah Wiegreffe
  4. Yacine Jernite
  5. Thomas Liao
  6. Ana Marasovic
  7. Jean Kaddour
  8. Bernard J. Koch
  9. Irene Solaiman
  10. Jesse Dodge

Papers from Amandalynne Paullada's perspective

Ordered by how strongly the researchers Amandalynne Paullada 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers