A. Hanna

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 10 papers; trusts 219 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom A. Hanna trusts overall

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

  1. Timnit Gebru
  2. Geoffrey E. Hinton
  3. Emily M. Bender
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Joy Buolamwini
  8. Kaiming He
  9. Ilya Sutskever
  10. G. Gee

Who trusts A. Hanna overall

  1. Angelina Wang
  2. Zaid Khan
  3. Alexandra Sasha Luccioni
  4. Ben Hutchinson
  5. Emily L. Denton
  6. Isabel O. Gallegos
  7. Yun Raymond Fu
  8. Su Lin Blodgett
  9. Abeba Birhane
  10. Dora Zhao

Papers from A. Hanna's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet: A large-scale hierarchical image database
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers