Stella Biderman

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 26 papers; trusts 383 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Stella Biderman trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Ilya Sutskever
  6. Kaiming He
  7. Yann LeCun
  8. Alec Radford
  9. Ross B. Girshick
  10. Alex Graves

Who trusts Stella Biderman overall

  1. Emilio Ferrara
  2. Jean Kaddour
  3. Tim Dettmers
  4. Wes Gurnee
  5. Sewon Min
  6. Mengzhou Xia
  7. Sean Welleck
  8. Peter Henderson
  9. Nora Belrose
  10. Hugo Laurenccon

Papers from Stella Biderman's perspective

Ordered by how strongly the researchers Stella Biderman 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers