Sarah Bird

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 6 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sarah Bird trusts overall

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

  1. J. Langford
  2. Lihong Li
  3. Miroslav Dud'ik
  4. David Silver
  5. Alekh Agarwal
  6. Richard S. Sutton
  7. Peter Auer
  8. Wei Chu
  9. Robert E. Schapire
  10. Geoffrey E. Hinton

Who trusts Sarah Bird overall

  1. Alberto Bietti
  2. Frances Ding
  3. Ninareh Mehrabi
  4. Udit Gupta
  5. Alexandra Chouldechova
  6. Alekh Agarwal
  7. Carole-Jean Wu
  8. Tor Lattimore

Papers from Sarah Bird's perspective

Ordered by how strongly the researchers Sarah Bird 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. Reinforcement Learning: An Introduction
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet: A large-scale hierarchical image database

Their papers