Rachel A. Ward

Artificial Intelligence · 2010–2022

A researcher in the Science corpus: 9 papers; trusts 191 researchers and is trusted by 96 researchers here, as inferred from the citation graph.

Subfields

Whom Rachel A. Ward trusts overall

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

  1. John C. Duchi
  2. Alex Krizhevsky
  3. L. Eon Bottou
  4. Yurii E. Nesterov
  5. Kaiming He
  6. Diederik P. Kingma
  7. Geoffrey E. Hinton
  8. Yann LeCun
  9. Saeed Ghadimi
  10. Zeyuan Allen-Zhu

Who trusts Rachel A. Ward overall

  1. Nicolas Loizou
  2. Jakub Konecný
  3. Robert Mansel Gower
  4. Xiaoxia Wu
  5. Antonio Orvieto
  6. Simon Lacoste-Julien
  7. Peter Richtárik
  8. Fangyu Zou
  9. Maizar Raissi
  10. Aymeric Dieuleveut

Papers from Rachel A. Ward's perspective

Ordered by how strongly the researchers Rachel A. Ward 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers