Rachael Tappenden

Artificial Intelligence · 2013–2016

A researcher in the Science corpus: 3 papers; trusts 39 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Rachael Tappenden trusts overall

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

  1. Yurii E. Nesterov
  2. Peter Richtárik
  3. Shai Shalev-Shwartz
  4. Martin Takác
  5. Paul Tseng
  6. B. Recht
  7. Gitta Kutyniok
  8. Jonathan Richard Shewchuk
  9. E.J. Candes
  10. Stephen J. Wright

Who trusts Rachael Tappenden overall

  1. Peter Richtárik
  2. Nicolas Loizou
  3. Martin Takác
  4. Zheng Qu
  5. Jakub Konecný
  6. Zhaosong Lu
  7. Jakub Marecek
  8. Julie Nutini
  9. Huahua Wang
  10. Chenxin Ma

Papers from Rachael Tappenden's perspective

Ordered by how strongly the researchers Rachael Tappenden 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Regression Shrinkage and Selection via the Lasso
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers