Sara Beery

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 7 papers; trusts 367 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Sara Beery trusts overall

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

  1. Kaiming He
  2. Zhihai He
  3. Zhi Zhang
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Tony X. Han
  8. Christian Szegedy
  9. Yann LeCun
  10. Ross B. Girshick

Who trusts Sara Beery overall

  1. Timm Haucke
  2. Alexandra Sasha Luccioni
  3. Ishaan Gulrajani
  4. Volker Steinhage
  5. Yusuke Iwasawa
  6. Thierry Bouwmans
  7. Mitchell Fennell
  8. Bernhard Schölkopf
  9. Peter Johanns
  10. Jindong Wang

Papers from Sara Beery's perspective

Ordered by how strongly the researchers Sara Beery 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers