Alexandra Sasha Luccioni

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 16 papers; trusts 395 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Alexandra Sasha Luccioni trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Kaiming He
  5. Diederik P. Kingma
  6. David G. Lowe
  7. Yann LeCun
  8. Ilya Sutskever
  9. Alec Radford
  10. Karen Simonyan

Who trusts Alexandra Sasha Luccioni overall

  1. Marc Marone
  2. Benjamin Van Durme
  3. Margaret Mitchell
  4. Aimee van Wynsberghe
  5. Yanis Labrak
  6. Sebastian Gehrmann
  7. Anne-Laure Ligozat
  8. David A. Patterson
  9. Jesse Dodge
  10. Aleksandra Piktus

Papers from Alexandra Sasha Luccioni's perspective

Ordered by how strongly the researchers Alexandra Sasha Luccioni 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers